Welcome to the 2015 Stanford HPC Conference
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In this deck, Gilad Shainer from the HPC Advisory Council kicks off the 2015 Stanford HPC Conference. Watch the Video Presentation: http://wp.me/p3RLHQ-dPa
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HPC Computing Trends
Addison Snell from Intersect360 Research presented this deck at the Stanford HPC Conference.
"Intersect360 Research returns with an annual deep dive into the trends, technologies and usage models that will be propelling the HPC community through 2017 and beyond. Emerging areas of focus and opportunities to expand will be explored along with insightful observations needed to support measurably positive decision making within your operations."
Watch the video: http://wp.me/p3RLHQ-gnJ
Learn more: http://intersect360research.com
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Welcome to the 2018 Stanford HPC Conference
In this deck, Gilad Shainer from the HPC Advisory Council kicks off the 2018 Stanford HPC Conference.
Watch the video: https://youtu.be/2ya9Ougcz9c
Learn more:
http://hpcadvisorycouncil.com
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Welcome to the 2016 HPC Advisory Council Switzerland Conference
This document contains the agenda for the HPC Advisory Council Swiss Conference 2016, which will take place in March. It provides details on keynote speakers, tutorials, and best practices sessions covering topics like deep learning, programming models, containers, and more. Sponsor and exhibitor information is also included.
Exascale Update from Hyperion Research
In this deck from the HPC User Forum in Detroit, Bob Sorensen from Hyperion Research presents: Exascale Update. As a research firm, Hyperion is tracking the development of Exascale supercomputers worldwide.
"The four geographies actively developing Exascale machines are: USA, China, Europe, and Japan. While it is important to emphasize that this is not a race, the first machine to achieve Exascale in terms of sustained LINPACK should be the A21 Aurora system at Argonne in 2021. It will be followed soon after by machines from all the other active projects."
Watch the video: https://wp.me/p3RLHQ-j1U
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
The Cambridge Research Computing Service
In this deck from the UK HPC Conference, Paul Calleja from the University of Cambridge presents: The Cambridge Research Computing Service.
"The Cambridge Centre for Data-Driven Discovery (C2D3) brings together researchers and expertise from across the academic departments and industry to drive research into the analysis, understanding and use of data science. The Centre is funded by a series of collaborations with partners in business and industry which have an interest in using data science for the benefit of their customers and their organisations. With unprecedented access to increasing volumes of data, our research ranges from the underlying fundamentals in mathematics and computer science, to data science applications across all six University Schools of Arts and Humanities, Biological Sciences, Clinical Medicine, Humanities and Social Sciences, Physical Sciences, and Technology. In parallel, our research addresses important issues around law, ethics and economics, in order to apply data science to solve challenging problems for society."
Watch the video: https://wp.me/p3RLHQ-kYb
Learn more: https://www.hpc.cam.ac.uk/
and
http://hpcadvisorycouncil.com/events/2019/uk-conference/agenda.php
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
A Library for Emerging High-Performance Computing Clusters
This document discusses the challenges of developing communication libraries for exascale systems using hybrid MPI+X programming models. It describes how current MPI+PGAS approaches use separate runtimes, which can lead to issues like deadlock. The document advocates for a unified runtime that can support multiple programming models simultaneously to avoid such issues and enable better performance. It also outlines MVAPICH2's work on designs like multi-endpoint that integrate MPI and OpenMP to efficiently support emerging highly threaded systems.
HPC Performance tools, on the road to Exascale
This document summarizes a presentation on HPC performance tools and the road to exascale computing. It discusses:
1) The challenges of exascale computing, including the need for unprecedented computing power for scientific simulations and big data, and issues around power consumption. New hardware architectures like multicore and manycore chips as well as new software paradigms will be required.
2) Performance tools that will be essential for exascale systems, including debugging tools, performance analysis tools, and correctness checking tools. Several European and U.S. initiatives are working to develop necessary performance tools.
3) Several European exascale initiatives including GENIUS, which aims to help exploit data from the Gaia
Pioneering and Democratizing Scalable HPC+AI at PSC
In this deck from the 2019 Stanford HPC Conference, Nik Nystrom from the Pittsburgh Supercomputing Center presents: Pioneering and Democratizing Scalable HPC+AI.
"PSC's Bridges was the first system to successfully converge HPC, AI, and Big Data. Designed for the U.S. national research community and supported by NSF, Bridges now serves approximately 1800 projects and 7500 users at 380 institutions, and it is the foundation around which new HPC+AI projects have launched. Bridges emphasizes "nontraditional" uses that span the life, physical, and social sciences, computer science, engineering, business, and humanities. Scalable HPC+AI is driving many of those applications, which span diverse topics such as learning root causes of cancer, strategic reasoning, designing new materials, predicting severe storms, recognizing speech including contextual information, and detecting objects in 4k streaming video. To address the demand for scalable AI, PSC recently introduced Bridges-AI, which adds transformative new AI capability. In this presentation, we share our vision in designing HPC+AI systems at PSC and highlight some of the exciting research breakthroughs they are enabling."
Nick Nystrom is Interim Director and Sr. Director of Research at the Pittsburgh Supercomputing Center (PSC). Nick is architect and PI for Bridges, PSC's flagship system that successfully pioneered the convergence HPC, AI, and Big Data. He is also PI for the NIH Human Biomolecular Atlas Program’s HIVE Infrastructure Component and co-PI for projects that bring emerging AI technologies to research (Open Compass), apply machine learning to biomedical data for breast and lung cancer (Big Data for Better Health), and identify causal relationships in biomedical big data (the Center for Causal Discovery, an NIH Big Data to Knowledge Center of Excellence). His current research interests include hardware and software architecture, applications of machine learning to multimodal data (particularly for the life sciences) and to enhance simulation, and graph analytics.
Watch the video: https://youtu.be/ucRs4A_afus
Learn more: https://www.psc.edu/bridges
and
http://hpcadvisorycouncil.com/events/2019/stanford-workshop/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Recommended
HPC Computing Trends
Addison Snell from Intersect360 Research presented this deck at the Stanford HPC Conference.
"Intersect360 Research returns with an annual deep dive into the trends, technologies and usage models that will be propelling the HPC community through 2017 and beyond. Emerging areas of focus and opportunities to expand will be explored along with insightful observations needed to support measurably positive decision making within your operations."
Watch the video: http://wp.me/p3RLHQ-gnJ
Learn more: http://intersect360research.com
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Welcome to the 2018 Stanford HPC Conference
In this deck, Gilad Shainer from the HPC Advisory Council kicks off the 2018 Stanford HPC Conference.
Watch the video: https://youtu.be/2ya9Ougcz9c
Learn more:
http://hpcadvisorycouncil.com
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Welcome to the 2016 HPC Advisory Council Switzerland Conference
This document contains the agenda for the HPC Advisory Council Swiss Conference 2016, which will take place in March. It provides details on keynote speakers, tutorials, and best practices sessions covering topics like deep learning, programming models, containers, and more. Sponsor and exhibitor information is also included.
Exascale Update from Hyperion Research
In this deck from the HPC User Forum in Detroit, Bob Sorensen from Hyperion Research presents: Exascale Update. As a research firm, Hyperion is tracking the development of Exascale supercomputers worldwide.
"The four geographies actively developing Exascale machines are: USA, China, Europe, and Japan. While it is important to emphasize that this is not a race, the first machine to achieve Exascale in terms of sustained LINPACK should be the A21 Aurora system at Argonne in 2021. It will be followed soon after by machines from all the other active projects."
Watch the video: https://wp.me/p3RLHQ-j1U
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
The Cambridge Research Computing Service
In this deck from the UK HPC Conference, Paul Calleja from the University of Cambridge presents: The Cambridge Research Computing Service.
"The Cambridge Centre for Data-Driven Discovery (C2D3) brings together researchers and expertise from across the academic departments and industry to drive research into the analysis, understanding and use of data science. The Centre is funded by a series of collaborations with partners in business and industry which have an interest in using data science for the benefit of their customers and their organisations. With unprecedented access to increasing volumes of data, our research ranges from the underlying fundamentals in mathematics and computer science, to data science applications across all six University Schools of Arts and Humanities, Biological Sciences, Clinical Medicine, Humanities and Social Sciences, Physical Sciences, and Technology. In parallel, our research addresses important issues around law, ethics and economics, in order to apply data science to solve challenging problems for society."
Watch the video: https://wp.me/p3RLHQ-kYb
Learn more: https://www.hpc.cam.ac.uk/
and
http://hpcadvisorycouncil.com/events/2019/uk-conference/agenda.php
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
A Library for Emerging High-Performance Computing Clusters
This document discusses the challenges of developing communication libraries for exascale systems using hybrid MPI+X programming models. It describes how current MPI+PGAS approaches use separate runtimes, which can lead to issues like deadlock. The document advocates for a unified runtime that can support multiple programming models simultaneously to avoid such issues and enable better performance. It also outlines MVAPICH2's work on designs like multi-endpoint that integrate MPI and OpenMP to efficiently support emerging highly threaded systems.
HPC Performance tools, on the road to Exascale
This document summarizes a presentation on HPC performance tools and the road to exascale computing. It discusses:
1) The challenges of exascale computing, including the need for unprecedented computing power for scientific simulations and big data, and issues around power consumption. New hardware architectures like multicore and manycore chips as well as new software paradigms will be required.
2) Performance tools that will be essential for exascale systems, including debugging tools, performance analysis tools, and correctness checking tools. Several European and U.S. initiatives are working to develop necessary performance tools.
3) Several European exascale initiatives including GENIUS, which aims to help exploit data from the Gaia
Pioneering and Democratizing Scalable HPC+AI at PSC
In this deck from the 2019 Stanford HPC Conference, Nik Nystrom from the Pittsburgh Supercomputing Center presents: Pioneering and Democratizing Scalable HPC+AI.
"PSC's Bridges was the first system to successfully converge HPC, AI, and Big Data. Designed for the U.S. national research community and supported by NSF, Bridges now serves approximately 1800 projects and 7500 users at 380 institutions, and it is the foundation around which new HPC+AI projects have launched. Bridges emphasizes "nontraditional" uses that span the life, physical, and social sciences, computer science, engineering, business, and humanities. Scalable HPC+AI is driving many of those applications, which span diverse topics such as learning root causes of cancer, strategic reasoning, designing new materials, predicting severe storms, recognizing speech including contextual information, and detecting objects in 4k streaming video. To address the demand for scalable AI, PSC recently introduced Bridges-AI, which adds transformative new AI capability. In this presentation, we share our vision in designing HPC+AI systems at PSC and highlight some of the exciting research breakthroughs they are enabling."
Nick Nystrom is Interim Director and Sr. Director of Research at the Pittsburgh Supercomputing Center (PSC). Nick is architect and PI for Bridges, PSC's flagship system that successfully pioneered the convergence HPC, AI, and Big Data. He is also PI for the NIH Human Biomolecular Atlas Program’s HIVE Infrastructure Component and co-PI for projects that bring emerging AI technologies to research (Open Compass), apply machine learning to biomedical data for breast and lung cancer (Big Data for Better Health), and identify causal relationships in biomedical big data (the Center for Causal Discovery, an NIH Big Data to Knowledge Center of Excellence). His current research interests include hardware and software architecture, applications of machine learning to multimodal data (particularly for the life sciences) and to enhance simulation, and graph analytics.
Watch the video: https://youtu.be/ucRs4A_afus
Learn more: https://www.psc.edu/bridges
and
http://hpcadvisorycouncil.com/events/2019/stanford-workshop/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Big Data Everywhere Chicago: High Performance Computing - Contributions Towar...
The document discusses the history and future of high performance computing (HPC). It outlines the key technologies and architectures that have enabled exponential increases in computational power over recent decades. These include vector processing, parallelization, GPUs, and interconnects like Infiniband. The document also examines emerging technologies like exascale computing and quantum computing that could further push the boundaries of HPC. Overall, the document argues that HPC will remain indispensable for scientific discovery and engineering innovation into the future.
EuroHPC AI in DAPHNE and Text Summarization
Slides from the talk:
Aleš Zamuda. EuroHPC AI in DAPHNE and Text Summarization. Conferencia Invitada. 15/Sep/2023, Sala Ada Lovelace, Department of Software and Computing Systems, University of Alicante, Spain. https://www.dlsi.ua.es/eines/noticia.cgi?id=eng&idn=596
ASME Spring 2015 Kick Off Meeting
This document provides information about the Spring Kick-Off Meeting for the ASME student chapter at UCF. It lists the officers and mission statement. It then provides details about getting involved through various activities like design competitions, engineering tours, speakers, and social events. Information is given on membership, upcoming social and project events like go-karting and a hovercraft workshop, and the HPV restore project. The document concludes with announcing the next meeting featuring professional section presentations.
Designing HPC & Deep Learning Middleware for Exascale Systems
DK Panda from Ohio State University presented this deck at the 2017 HPC Advisory Council Stanford Conference.
"This talk will focus on challenges in designing runtime environments for exascale systems with millions of processors and accelerators to support various programming models. We will focus on MPI, PGAS (OpenSHMEM, CAF, UPC and UPC++) and Hybrid MPI+PGAS programming models by taking into account support for multi-core, high-performance networks, accelerators (GPGPUs and Intel MIC), virtualization technologies (KVM, Docker, and Singularity), and energy-awareness. Features and sample performance numbers from the MVAPICH2 libraries will be presented."
Watch the video: http://wp.me/p3RLHQ-glW
Learn more: http://hpcadvisorycouncil.com
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Cloud Standards in the Real World: Cloud Standards Testing for Developers
Learn about standards studied in the US National Science Foundation Cloud and Autonomic Computing Industry/University Cooperative Research Center Cloud Standards Testing Lab and how you can get involved to extend the successes from these results in your own cloud software settings. Presented at the O'Reilly OSCON 2014 Open Cloud Day.
Video available at https://www.youtube.com/watch?v=eD2h0SqC7tY
Kurator: Towards Data Curation for Mere Mortals
Kurator is an open-source workflow platform for data curation tools. It aims to detect and flag data quality issues, repair issues when possible with human curation as needed, and track provenance of automatic and human edits. Kurator uses scientific workflow systems like Kepler to automate computational aspects of curation. It also employs script-based approaches and YesWorkflow annotations to provide workflow views and capture provenance from scripts. This allows leveraging existing tools and programming expertise while providing workflow benefits such as automation, scaling, and provenance tracking.
week15a.pdf
This document summarizes the final class topics for an integrated circuit design course. It outlines the final project presentation requirements, including timing and content. It also provides details on the final project report due date and required contents. The document concludes with an overview of the course topics covered, including design flow, languages and tools, and trends in integrated circuit design.
MVAPICH2 and MVAPICH2-X Projects: Latest Developments and Future Plans
In this video from the 2014 HPC Advisory Council Europe Conference, DK Panda from Ohio State University presents: MVAPICH2 and MVAPICH2-X Projects: Latest Developments and Future Plans.
This talk will focus on latest developments and future plans for the MVAPICH2 and MVAPICH2-X projects. For the MVAPICH2 project, we will focus on scalable and highly-optimized designs for pt-to-pt communication (two-sided and one-sided MPI-3 RMA), collective communication (blocking and MPI-3 non-blocking), support for GPGPUs and Intel MIC, support for MPI-T interface and schemes for fault-tolerance/fault-resilience. For the MVAPICH2-X project, will focus on efficient support for hybrid MPI and PGAS (UPC and OpenSHMEM) programming model with unified runtime."
Watch the video presentation: http://wp.me/p3RLHQ-coF
Program insert 2014_final
This document provides the schedule for the CMHI Manufactured Building design and technology forum taking place from October 7-9, 2014. The schedule lists the various presentations, tours, meals and networking activities that will be part of the forum. On the first day, there will be tours of modular infill housing and a seniors' house, as well as presentations on housing for seniors, CSA standards, and online marketing for builders. The second day will include presentations on prefabricated design, open building industry, net-zero buildings, and an economic forecast. The last day includes an optional tour of a factory, design center and model homes.
The SKA Project - The World's Largest Streaming Data Processor
In this presentation from the 2014 HPC Advisory Council Europe Conference, Paul Calleja from University of Cambridge presents: The SKA Project - The World's Largest Streaming Data Processor.
"The Square Kilometre Array Design Studies is an international effort to investigate and develop technologies which will enable us to build an enormous radio astronomy telescope with a million square meters of collecting area."
Watch the video presentation: http://wp.me/p3RLHQ-cot
Available HPC resources at CSUC
Presentació a càrrec d'Adrián Macía, cap de Càlcul Científic del CSUC, duta a terme a la "5a Jornada de formació sobre l'ús del servei de càlcul" celebrada el 16 de desembre de 2021 en format virtual.
HPC AI Advisory Council Update
In this deck, Gilad Shainer from the HPC AI Advisory Council describes how this organization fosters innovation in the high performance computing community.
"The HPC-AI Advisory Council’s mission is to bridge the gap between high-performance computing (HPC) and Artificial Intelligence (AI) use and its potential, bring the beneficial capabilities of HPC and AI to new users for better research, education, innovation and product manufacturing, bring users the expertise needed to operate HPC and AI systems, provide application designers with the tools needed to enable parallel computing, and to strengthen the qualification and integration of HPC and AI system products."
Watch the video: https://wp.me/p3RLHQ-lNz
Learn more: http://hpcadvisorycouncil.com
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Scalable and Distributed DNN Training on Modern HPC Systems
This document discusses scaling deep learning training on HPC systems. It begins by providing background on deep learning and how interest in it has grown significantly. It then discusses how HPC systems can be leveraged for deep learning by supporting distributed training across multiple nodes. Several challenges of designing deep learning frameworks for HPC are outlined, including memory and communication overhead. The document proposes a co-design approach between deep learning frameworks and communication runtimes to better support distributed training and exploit HPC resources. MVAPICH2 software is discussed as an example that provides optimized MPI support for CPU- and GPU-based deep learning on HPC clusters.
High Performance Computing Infrastructure as a Key Enabler to Engineering Des...
#sunshine2015 High Performance Computing Infrastructure as a Key Enabler to Engineering Design by Kola oyeniran @Nse conference in #thedome in #Akure #Nigeria
Virtualization for HPC at NCI
In this presentation from the Dell booth at SC13, Joseph Antony from NCI describes how they are using HPC Virtualization to meet user needs.
Watch the video presentation: http://insidehpc.com/2013/12/05/panel-discussion-thought-hpc-virtualization-never-going-happen/
Data-intensive applications on cloud computing resources: Applications in lif...
Presentation at the de.NBI 2017 symposium “The Future Development of Bioinformatics in Germany and Europe” held at the Center for Interdisciplinary Research (ZiF) of Bielefeld University, October 23-25, 2017.
https://www.denbi.de/symposium2017
European Conference on Software Architecture - ECSA 2015 Announcement
European Conference on Software Architecture - ECSA 2015 will be held in Dubrovnik/Cavtat 2015 September 8-11
Scaling People, Not Just Systems, to Take On Big Data Challenges
Here, I describe how the Texas Advanced Computing Center has shifted its focus from traditional modeling and simulation towards fully embracing big data analytics performed by users with diverse technical backgrounds.
Hpc trends-20150924
The document summarizes observations from two conferences on high-performance computing trends. It notes that the improvements in x86-64 performance are ending, and that heterogeneous computing with GPUs and other accelerators will become standard. Exascale computing is being taken seriously worldwide but efforts in the UK appear to be lagging. There is also a perceived disconnect between the fields of computer science and high-performance computing. It suggests that the HPC-SIG group can help address issues like software challenges, career paths for research software developers, and planning for exascale in the UK.
HPC Resource Accounting
My Invited Talk Presentation given at the LISA 2014 Conference in Seattle, WA, Nov 12, 2014. I describe some of the Lessons Learned while tracking usage of the HPC Computing Facilities of the Lattice Quantum Chromodynamics (LQCD) colaborators. The reports cover compute clusters at Fermi National Accelerator Laboratory.
Major Market Shifts in IT
The document discusses the top 5 technologies that all organizations must understand: digital transformation, quantum computing, IoT, 5G, and AI/HPC. It provides an overview of each technology including opportunities and threats to organizations. The document emphasizes that understanding these emerging technologies is mandatory as the information revolution changes many aspects of life and business.
Preparing to program Aurora at Exascale - Early experiences and future direct...
In this deck from IWOCL / SYCLcon 2020, Hal Finkel from Argonne National Laboratory presents: Preparing to program Aurora at Exascale - Early experiences and future directions.
"Argonne National Laboratory’s Leadership Computing Facility will be home to Aurora, our first exascale supercomputer. Aurora promises to take scientific computing to a whole new level, and scientists and engineers from many different fields will take advantage of Aurora’s unprecedented computational capabilities to push the boundaries of human knowledge. In addition, Aurora’s support for advanced machine-learning and big-data computations will enable scientific workflows incorporating these techniques along with traditional HPC algorithms. Programming the state-of-the-art hardware in Aurora will be accomplished using state-of-the-art programming models. Some of these models, such as OpenMP, are long-established in the HPC ecosystem. Other models, such as Intel’s oneAPI, based on SYCL, are relatively-new models constructed with the benefit of significant experience. Many applications will not use these models directly, but rather, will use C++ abstraction libraries such as Kokkos or RAJA. Python will also be a common entry point to high-performance capabilities. As we look toward the future, features in the C++ standard itself will become increasingly relevant for accessing the extreme parallelism of exascale platforms.
This presentation will summarize the experiences of our team as we prepare for Aurora, exploring how to port applications to Aurora’s architecture and programming models, and distilling the challenges and best practices we’ve developed to date. oneAPI/SYCL and OpenMP are both critical models in these efforts, and while the ecosystem for Aurora has yet to mature, we’ve already had a great deal of success. Importantly, we are not passive recipients of programming models developed by others. Our team works not only with vendor-provided compilers and tools, but also develops improved open-source LLVM-based technologies that feed both open-source and vendor-provided capabilities. In addition, we actively participate in the standardization of OpenMP, SYCL, and C++. To conclude, I’ll share our thoughts on how these models can best develop in the future to support exascale-class systems."
Watch the video: https://wp.me/p3RLHQ-lPT
Learn more: https://www.iwocl.org/iwocl-2020/conference-program/
and
https://www.anl.gov/topic/aurora
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
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Designing HPC & Deep Learning Middleware for Exascale Systems
DK Panda from Ohio State University presented this deck at the 2017 HPC Advisory Council Stanford Conference.
"This talk will focus on challenges in designing runtime environments for exascale systems with millions of processors and accelerators to support various programming models. We will focus on MPI, PGAS (OpenSHMEM, CAF, UPC and UPC++) and Hybrid MPI+PGAS programming models by taking into account support for multi-core, high-performance networks, accelerators (GPGPUs and Intel MIC), virtualization technologies (KVM, Docker, and Singularity), and energy-awareness. Features and sample performance numbers from the MVAPICH2 libraries will be presented."
Watch the video: http://wp.me/p3RLHQ-glW
Learn more: http://hpcadvisorycouncil.com
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
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week15a.pdf
This document summarizes the final class topics for an integrated circuit design course. It outlines the final project presentation requirements, including timing and content. It also provides details on the final project report due date and required contents. The document concludes with an overview of the course topics covered, including design flow, languages and tools, and trends in integrated circuit design.
MVAPICH2 and MVAPICH2-X Projects: Latest Developments and Future Plans
In this video from the 2014 HPC Advisory Council Europe Conference, DK Panda from Ohio State University presents: MVAPICH2 and MVAPICH2-X Projects: Latest Developments and Future Plans.
This talk will focus on latest developments and future plans for the MVAPICH2 and MVAPICH2-X projects. For the MVAPICH2 project, we will focus on scalable and highly-optimized designs for pt-to-pt communication (two-sided and one-sided MPI-3 RMA), collective communication (blocking and MPI-3 non-blocking), support for GPGPUs and Intel MIC, support for MPI-T interface and schemes for fault-tolerance/fault-resilience. For the MVAPICH2-X project, will focus on efficient support for hybrid MPI and PGAS (UPC and OpenSHMEM) programming model with unified runtime."
Watch the video presentation: http://wp.me/p3RLHQ-coF
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This document provides the schedule for the CMHI Manufactured Building design and technology forum taking place from October 7-9, 2014. The schedule lists the various presentations, tours, meals and networking activities that will be part of the forum. On the first day, there will be tours of modular infill housing and a seniors' house, as well as presentations on housing for seniors, CSA standards, and online marketing for builders. The second day will include presentations on prefabricated design, open building industry, net-zero buildings, and an economic forecast. The last day includes an optional tour of a factory, design center and model homes.
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In this presentation from the 2014 HPC Advisory Council Europe Conference, Paul Calleja from University of Cambridge presents: The SKA Project - The World's Largest Streaming Data Processor.
"The Square Kilometre Array Design Studies is an international effort to investigate and develop technologies which will enable us to build an enormous radio astronomy telescope with a million square meters of collecting area."
Watch the video presentation: http://wp.me/p3RLHQ-cot
Available HPC resources at CSUC
Presentació a càrrec d'Adrián Macía, cap de Càlcul Científic del CSUC, duta a terme a la "5a Jornada de formació sobre l'ús del servei de càlcul" celebrada el 16 de desembre de 2021 en format virtual.
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In this deck, Gilad Shainer from the HPC AI Advisory Council describes how this organization fosters innovation in the high performance computing community.
"The HPC-AI Advisory Council’s mission is to bridge the gap between high-performance computing (HPC) and Artificial Intelligence (AI) use and its potential, bring the beneficial capabilities of HPC and AI to new users for better research, education, innovation and product manufacturing, bring users the expertise needed to operate HPC and AI systems, provide application designers with the tools needed to enable parallel computing, and to strengthen the qualification and integration of HPC and AI system products."
Watch the video: https://wp.me/p3RLHQ-lNz
Learn more: http://hpcadvisorycouncil.com
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
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This document discusses scaling deep learning training on HPC systems. It begins by providing background on deep learning and how interest in it has grown significantly. It then discusses how HPC systems can be leveraged for deep learning by supporting distributed training across multiple nodes. Several challenges of designing deep learning frameworks for HPC are outlined, including memory and communication overhead. The document proposes a co-design approach between deep learning frameworks and communication runtimes to better support distributed training and exploit HPC resources. MVAPICH2 software is discussed as an example that provides optimized MPI support for CPU- and GPU-based deep learning on HPC clusters.
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Watch the video presentation: http://insidehpc.com/2013/12/05/panel-discussion-thought-hpc-virtualization-never-going-happen/
Data-intensive applications on cloud computing resources: Applications in lif...
Presentation at the de.NBI 2017 symposium “The Future Development of Bioinformatics in Germany and Europe” held at the Center for Interdisciplinary Research (ZiF) of Bielefeld University, October 23-25, 2017.
https://www.denbi.de/symposium2017
European Conference on Software Architecture - ECSA 2015 Announcement
European Conference on Software Architecture - ECSA 2015 will be held in Dubrovnik/Cavtat 2015 September 8-11
Scaling People, Not Just Systems, to Take On Big Data Challenges
Here, I describe how the Texas Advanced Computing Center has shifted its focus from traditional modeling and simulation towards fully embracing big data analytics performed by users with diverse technical backgrounds.
Hpc trends-20150924
The document summarizes observations from two conferences on high-performance computing trends. It notes that the improvements in x86-64 performance are ending, and that heterogeneous computing with GPUs and other accelerators will become standard. Exascale computing is being taken seriously worldwide but efforts in the UK appear to be lagging. There is also a perceived disconnect between the fields of computer science and high-performance computing. It suggests that the HPC-SIG group can help address issues like software challenges, career paths for research software developers, and planning for exascale in the UK.
HPC Resource Accounting
My Invited Talk Presentation given at the LISA 2014 Conference in Seattle, WA, Nov 12, 2014. I describe some of the Lessons Learned while tracking usage of the HPC Computing Facilities of the Lattice Quantum Chromodynamics (LQCD) colaborators. The reports cover compute clusters at Fermi National Accelerator Laboratory.
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Cloud Standards in the Real World: Cloud Standards Testing for Developers
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MVAPICH2 and MVAPICH2-X Projects: Latest Developments and Future Plans
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The SKA Project - The World's Largest Streaming Data Processor
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More from inside-BigData.com
Major Market Shifts in IT
The document discusses the top 5 technologies that all organizations must understand: digital transformation, quantum computing, IoT, 5G, and AI/HPC. It provides an overview of each technology including opportunities and threats to organizations. The document emphasizes that understanding these emerging technologies is mandatory as the information revolution changes many aspects of life and business.
Preparing to program Aurora at Exascale - Early experiences and future direct...
In this deck from IWOCL / SYCLcon 2020, Hal Finkel from Argonne National Laboratory presents: Preparing to program Aurora at Exascale - Early experiences and future directions.
"Argonne National Laboratory’s Leadership Computing Facility will be home to Aurora, our first exascale supercomputer. Aurora promises to take scientific computing to a whole new level, and scientists and engineers from many different fields will take advantage of Aurora’s unprecedented computational capabilities to push the boundaries of human knowledge. In addition, Aurora’s support for advanced machine-learning and big-data computations will enable scientific workflows incorporating these techniques along with traditional HPC algorithms. Programming the state-of-the-art hardware in Aurora will be accomplished using state-of-the-art programming models. Some of these models, such as OpenMP, are long-established in the HPC ecosystem. Other models, such as Intel’s oneAPI, based on SYCL, are relatively-new models constructed with the benefit of significant experience. Many applications will not use these models directly, but rather, will use C++ abstraction libraries such as Kokkos or RAJA. Python will also be a common entry point to high-performance capabilities. As we look toward the future, features in the C++ standard itself will become increasingly relevant for accessing the extreme parallelism of exascale platforms.
This presentation will summarize the experiences of our team as we prepare for Aurora, exploring how to port applications to Aurora’s architecture and programming models, and distilling the challenges and best practices we’ve developed to date. oneAPI/SYCL and OpenMP are both critical models in these efforts, and while the ecosystem for Aurora has yet to mature, we’ve already had a great deal of success. Importantly, we are not passive recipients of programming models developed by others. Our team works not only with vendor-provided compilers and tools, but also develops improved open-source LLVM-based technologies that feed both open-source and vendor-provided capabilities. In addition, we actively participate in the standardization of OpenMP, SYCL, and C++. To conclude, I’ll share our thoughts on how these models can best develop in the future to support exascale-class systems."
Watch the video: https://wp.me/p3RLHQ-lPT
Learn more: https://www.iwocl.org/iwocl-2020/conference-program/
and
https://www.anl.gov/topic/aurora
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Transforming Private 5G Networks
In this deck, Greg Wahl from Advantech presents: Transforming Private 5G Networks.
Advantech Networks & Communications Group is driving innovation in next-generation network solutions with their High Performance Servers. We provide business critical hardware to the world's leading telecom and networking equipment manufacturers with both standard and customized products. Our High Performance Servers are highly configurable platforms designed to balance the best in x86 server-class processing performance with maximum I/O and offload density. The systems are cost effective, highly available and optimized to meet next generation networking and media processing needs.
“Advantech’s Networks and Communication Group has been both an innovator and trusted enabling partner in the telecommunications and network security markets for over a decade, designing and manufacturing products for OEMs that accelerate their network platform evolution and time to market.” Said Advantech Vice President of Networks & Communications Group, Ween Niu. “In the new IP Infrastructure era, we will be expanding our expertise in Software Defined Networking (SDN) and Network Function Virtualization (NFV), two of the essential conduits to 5G infrastructure agility making networks easier to install, secure, automate and manage in a cloud-based infrastructure.”
In addition to innovation in air interface technologies and architecture extensions, 5G will also need a new generation of network computing platforms to run the emerging software defined infrastructure, one that provides greater topology flexibility, essential to deliver on the promises of high availability, high coverage, low latency and high bandwidth connections. This will open up new parallel industry opportunities through dedicated 5G network slices reserved for specific industries dedicated to video traffic, augmented reality, IoT, connected cars etc. 5G unlocks many new doors and one of the keys to its enablement lies in the elasticity and flexibility of the underlying infrastructure.
Advantech’s corporate vision is to enable an intelligent planet. The company is a global leader in the fields of IoT intelligent systems and embedded platforms. To embrace the trends of IoT, big data, and artificial intelligence, Advantech promotes IoT hardware and software solutions with the Edge Intelligence WISE-PaaS core to assist business partners and clients in connecting their industrial chains. Advantech is also working with business partners to co-create business ecosystems that accelerate the goal of industrial intelligence."
Watch the video: https://wp.me/p3RLHQ-lPQ
* Company website: https://www.advantech.com/
* Solution page: https://www2.advantech.com/nc/newsletter/NCG/SKY/benefits.html
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
The Incorporation of Machine Learning into Scientific Simulations at Lawrence...
In this deck from the Stanford HPC Conference, Katie Lewis from Lawrence Livermore National Laboratory presents: The Incorporation of Machine Learning into Scientific Simulations at Lawrence Livermore National Laboratory.
"Scientific simulations have driven computing at Lawrence Livermore National Laboratory (LLNL) for decades. During that time, we have seen significant changes in hardware, tools, and algorithms. Today, data science, including machine learning, is one of the fastest growing areas of computing, and LLNL is investing in hardware, applications, and algorithms in this space. While the use of simulations to focus and understand experiments is well accepted in our community, machine learning brings new challenges that need to be addressed. I will explore applications for machine learning in scientific simulations that are showing promising results and further investigation that is needed to better understand its usefulness."
Watch the video: https://youtu.be/NVwmvCWpZ6Y
Learn more: https://computing.llnl.gov/research-area/machine-learning
and
http://www.hpcadvisorycouncil.com/events/2020/stanford-workshop/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
How to Achieve High-Performance, Scalable and Distributed DNN Training on Mod...
In this deck from the Stanford HPC Conference, DK Panda from Ohio State University presents: How to Achieve High-Performance, Scalable and Distributed DNN Training on Modern HPC Systems?
"This talk will start with an overview of challenges being faced by the AI community to achieve high-performance, scalable and distributed DNN training on Modern HPC systems with both scale-up and scale-out strategies. After that, the talk will focus on a range of solutions being carried out in my group to address these challenges. The solutions will include: 1) MPI-driven Deep Learning, 2) Co-designing Deep Learning Stacks with High-Performance MPI, 3) Out-of- core DNN training, and 4) Hybrid (Data and Model) parallelism. Case studies to accelerate DNN training with popular frameworks like TensorFlow, PyTorch, MXNet and Caffe on modern HPC systems will be presented."
Watch the video: https://youtu.be/LeUNoKZVuwQ
Learn more: http://web.cse.ohio-state.edu/~panda.2/
and
http://www.hpcadvisorycouncil.com/events/2020/stanford-workshop/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Evolving Cyberinfrastructure, Democratizing Data, and Scaling AI to Catalyze ...
In this deck from the Stanford HPC Conference, Nick Nystrom and Paola Buitrago provide an update from the Pittsburgh Supercomputing Center.
Nick Nystrom is Chief Scientist at the Pittsburgh Supercomputing Center (PSC). Nick is architect and PI for Bridges, PSC's flagship system that successfully pioneered the convergence of HPC, AI, and Big Data. He is also PI for the NIH Human Biomolecular Atlas Program’s HIVE Infrastructure Component and co-PI for projects that bring emerging AI technologies to research (Open Compass), apply machine learning to biomedical data for breast and lung cancer (Big Data for Better Health), and identify causal relationships in biomedical big data (the Center for Causal Discovery, an NIH Big Data to Knowledge Center of Excellence). His current research interests include hardware and software architecture, applications of machine learning to multimodal data (particularly for the life sciences) and to enhance simulation, and graph analytics.
Watch the video: https://youtu.be/LWEU1L1o7yY
Learn more: https://www.psc.edu/
and
http://www.hpcadvisorycouncil.com/events/2020/stanford-workshop/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
HPC Impact: EDA Telemetry Neural Networks
The document discusses using systems intelligence and artificial intelligence/neural networks to enhance semiconductor electronic design automation (EDA) workflows by collecting telemetry data from EDA jobs and infrastructure and analyzing it using complex event processing, machine learning models, and messaging substrates to provide insights that could optimize EDA pipelines and infrastructure. The approach aims to allow both internal and external augmentation of EDA processes and environments through unsupervised and incremental learning.
Biohybrid Robotic Jellyfish for Future Applications in Ocean Monitoring
In this deck from the Stanford HPC Conference, Nicole Xu from Stanford University describes how she transformed a common jellyfish into a bionic creature that is part animal and part machine.
"Animal locomotion and bioinspiration have the potential to expand the performance capabilities of robots, but current implementations are limited. Mechanical soft robots leverage engineered materials and are highly controllable, but these biomimetic robots consume more power than corresponding animal counterparts. Biological soft robots from a bottom-up approach offer advantages such as speed and controllability but are limited to survival in cell media. Instead, biohybrid robots that comprise live animals and self- contained microelectronic systems leverage the animals’ own metabolism to reduce power constraints and body as an natural scaffold with damage tolerance. We demonstrate that by integrating onboard microelectronics into live jellyfish, we can enhance propulsion up to threefold, using only 10 mW of external power input to the microelectronics and at only a twofold increase in cost of transport to the animal. This robotic system uses 10 to 1000 times less external power per mass than existing swimming robots in literature and can be used in future applications for ocean monitoring to track environmental changes."
Watch the video: https://youtu.be/HrmJFyvInj8
Learn more: https://sanfrancisco.cbslocal.com/2020/02/05/stanford-research-project-common-jellyfish-bionic-sea-creatures/
and
http://www.hpcadvisorycouncil.com/events/2020/stanford-workshop/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Machine Learning for Weather Forecasts
In this deck from the Stanford HPC Conference, Peter Dueben from the European Centre for Medium-Range Weather Forecasts (ECMWF) presents: Machine Learning for Weather Forecasts.
"I will present recent studies that use deep learning to learn the equations of motion of the atmosphere, to emulate model components of weather forecast models and to enhance usability of weather forecasts. I will than talk about the main challenges for the application of deep learning in cutting-edge weather forecasts and suggest approaches to improve usability in the future."
Peter is contributing to the development and optimization of weather and climate models for modern supercomputers. He is focusing on a better understanding of model error and model uncertainty, on the use of reduced numerical precision that is optimised for a given level of model error, on global cloud- resolving simulations with ECMWF's forecast model, and the use of machine learning, and in particular deep learning, to improve the workflow and predictions. Peter has graduated in Physics and wrote his PhD thesis at the Max Planck Institute for Meteorology in Germany. He worked as Postdoc with Tim Palmer at the University of Oxford and has taken up a position as University Research Fellow of the Royal Society at the European Centre for Medium-Range Weather Forecasts (ECMWF) in 2017.
Watch the video: https://youtu.be/ks3fkRj8Iqc
Learn more: https://www.ecmwf.int/
and
http://www.hpcadvisorycouncil.com/events/2020/stanford-workshop/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Fugaku Supercomputer joins fight against COVID-19
Today RIKEN in Japan announced that the Fugaku supercomputer will be made available for research projects aimed to combat COVID-19.
"Fugaku is currently being installed and is scheduled to be available to the public in 2021. However, faced with the devastating disaster unfolding before our eyes, RIKEN and MEXT decided to make a portion of the computational resources of Fugaku available for COVID-19-related projects ahead of schedule while continuing the installation process.
Fugaku is being developed not only for the progress in science, but also to help build the society dubbed as the “Society 5.0” by the Japanese government, where all people will live safe and comfortable lives. The current initiative to fight against the novel coronavirus is driven by the philosophy behind the development of Fugaku."
Initial Projects
Exploring new drug candidates for COVID-19 by "Fugaku"
Yasushi Okuno, RIKEN / Kyoto University
Prediction of conformational dynamics of proteins on the surface of SARS-Cov-2 using Fugaku
Yuji Sugita, RIKEN
Simulation analysis of pandemic phenomena
Nobuyasu Ito, RIKEN
Fragment molecular orbital calculations for COVID-19 proteins
Yuji Mochizuki, Rikkyo University
Energy Efficient Computing using Dynamic Tuning
In this deck from the Performance Optimisation and Productivity group, Lubomir Riha from IT4Innovations presents: Energy Efficient Computing using Dynamic Tuning.
"We now live in a world of power-constrained architectures and systems and power consumption represents a significant cost factor in the overall HPC system economy. For these reasons, in recent years researchers, supercomputing centers and major vendors have developed new tools and methodologies to measure and optimize the energy consumption of large-scale high performance system installations. Due to the link between energy consumption, power consumption and execution time of an application executed by the final user, it is important for these tools and the methodology used to consider all these aspects, empowering the final user and the system administrator with the capability of finding the best configuration given different high level objectives.
This webinar focused on tools designed to improve the energy-efficiency of HPC applications using a methodology of dynamic tuning of HPC applications, developed under the H2020 READEX project. The READEX methodology has been designed for exploiting the dynamic behaviour of software. At design time, different runtime situations (RTS) are detected and optimized system configurations are determined. RTSs with the same configuration are grouped into scenarios, forming the tuning model. At runtime, the tuning model is used to switch system configurations dynamically.
The MERIC tool, that implements the READEX methodology, is presented. It supports manual or binary instrumentation of the analysed applications to simplify the analysis. This instrumentation is used to identify and annotate the significant regions in the HPC application. Automatic binary instrumentation annotates regions with significant runtime. Manual instrumentation, which can be combined with automatic, allows code developer to annotate regions of particular interest."
Watch the video: https://wp.me/p3RLHQ-lJP
Learn more: https://pop-coe.eu/blog/14th-pop-webinar-energy-efficient-computing-using-dynamic-tuning
and
https://code.it4i.cz/vys0053/meric
Sign up for our insideHPC Newsletter: http://insidehpc.com/newslett
HPC at Scale Enabled by DDN A3i and NVIDIA SuperPOD
The document discusses how DDN A3I storage solutions and Nvidia's SuperPOD platform can enable HPC at scale. It provides details on DDN's A3I appliances that are optimized for AI and deep learning workloads and validated for Nvidia's DGX-2 SuperPOD reference architecture. The solutions are said to deliver the fastest performance, effortless scaling, reliability and flexibility for data-intensive workloads.
State of ARM-based HPC
In this deck, Paul Isaacs from Linaro presents: State of ARM-based HPC. This talk provides an overview of applications and infrastructure services successfully ported to Aarch64 and benefiting from scale.
"With its debut on the TOP500, the 125,000-core Astra supercomputer at New Mexico’s Sandia Labs uses Cavium ThunderX2 chips to mark Arm’s entry into the petascale world. In Japan, the Fujitsu A64FX Arm-based CPU in the pending Fugaku supercomputer has been optimized to achieve high-level, real-world application performance, anticipating up to one hundred times the application execution performance of the K computer. K was the first computer to top 10 petaflops in 2011."
Watch the video: https://wp.me/p3RLHQ-lIT
Learn more: https://www.linaro.org/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Versal Premium ACAP for Network and Cloud Acceleration
Today Xilinx announced Versal Premium, the third series in the Versal ACAP portfolio. The Versal Premium series features highly integrated, networked and power-optimized cores and the industry’s highest bandwidth and compute density on an adaptable platform. Versal Premium is designed for the highest bandwidth networks operating in thermally and spatially constrained environments, as well as for cloud providers who need scalable, adaptable application acceleration.
Versal is the industry’s first adaptive compute acceleration platform (ACAP), a revolutionary new category of heterogeneous compute devices with capabilities that far exceed those of conventional silicon architectures. Developed on TSMC’s 7-nanometer process technology, Versal Premium combines software programmability with dynamically configurable hardware acceleration and pre-engineered connectivity and security features to enable a faster time-to- market. The Versal Premium series delivers up to 3X higher throughput compared to current generation FPGAs, with built-in Ethernet, Interlaken, and cryptographic engines that enable fast and secure networks. The series doubles the compute density of currently deployed mainstream FPGAs and provides the adaptability to keep pace with increasingly diverse and evolving cloud and networking workloads.
Learn more: https://insidehpc.com/2020/03/xilinx-announces-versal-premium-acap-for-network-and-cloud-acceleration/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Zettar: Moving Massive Amounts of Data across Any Distance Efficiently
In this video from the Rice Oil & Gas Conference, Chin Fang from Zettar presents: Moving Massive Amounts of Data across Any Distance Efficiently.
The objective of this talk is to present two on-going projects aiming at improving and ensuring highly efficient bulk transferring or streaming of massive amounts of data over digital connections across any distance. It examines the current state of the art, a few very common misconceptions, the differences among the three major type of data movement solutions, a current initiative attempting to improve the data movement efficiency from the ground up, and another multi-stage project that shows how to conduct long distance large scale data movement at speed and scale internationally. Both projects have real world motivations, e.g. the ambitious data transfer requirements of Linac Coherent Light Source II (LCLS-II) [1], a premier preparation project of the U.S. DOE Exascale Computing Initiative (ECI) [2]. Their immediate goals are described and explained, together with the solution used for each. Findings and early results are reported. Possible future works are outlined.
Watch the video: https://wp.me/p3RLHQ-lBX
Learn more: https://www.zettar.com/
and
https://rice2020oghpc.rice.edu/program-2/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Scaling TCO in a Post Moore's Era
In this deck from the Rice Oil & Gas Conference, Bradley McCredie from AMD presents: Scaling TCO in a Post Moore's Law Era.
"While foundries bravely drive forward to overcome the technical and economic challenges posed by scaling to 5nm and beyond, Moore’s law alone can provide only a fraction of the performance / watt and performance / dollar gains needed to satisfy the demands of today’s high performance computing and artificial intelligence applications. To close the gap, multiple strategies are required. First, new levels of innovation and design efficiency will supplement technology gains to continue to deliver meaningful improvements in SoC performance. Second, heterogenous compute architectures will create x-factor increases of performance efficiency for the most critical applications. Finally, open software frameworks, APIs, and toolsets will enable broad ecosystems of application level innovation."
Watch the video:
Learn more: http://amd.com
and
https://rice2020oghpc.rice.edu/program-2/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
CUDA-Python and RAPIDS for blazing fast scientific computing
In this deck from the ECSS Symposium, Abe Stern from NVIDIA presents: CUDA-Python and RAPIDS for blazing fast scientific computing.
"We will introduce Numba and RAPIDS for GPU programming in Python. Numba allows us to write just-in-time compiled CUDA code in Python, giving us easy access to the power of GPUs from a powerful high-level language. RAPIDS is a suite of tools with a Python interface for machine learning and dataframe operations. Together, Numba and RAPIDS represent a potent set of tools for rapid prototyping, development, and analysis for scientific computing. We will cover the basics of each library and go over simple examples to get users started. Finally, we will briefly highlight several other relevant libraries for GPU programming."
Watch the video: https://wp.me/p3RLHQ-lvu
Learn more: https://developer.nvidia.com/rapids
and
https://www.xsede.org/for-users/ecss/ecss-symposium
Sign up for our insideHPC Newsletter: http://insidehp.com/newsletter
Introducing HPC with a Raspberry Pi Cluster
In this deck from FOSDEM 2020, Colin Sauze from Aberystwyth University describes the development of a RaspberryPi cluster for teaching an introduction to HPC.
"The motivation for this was to overcome four key problems faced by new HPC users:
* The availability of a real HPC system and the effect running training courses can have on the real system, conversely the availability of spare resources on the real system can cause problems for the training course.
* A fear of using a large and expensive HPC system for the first time and worries that doing something wrong might damage the system.
* That HPC systems are very abstract systems sitting in data centres that users never see, it is difficult for them to understand exactly what it is they are using.
* That new users fail to understand resource limitations, in part because of the vast resources in modern HPC systems a lot of mistakes can be made before running out of resources. A more resource constrained system makes it easier to understand this.
The talk will also discuss some of the technical challenges in deploying an HPC environment to a Raspberry Pi and attempts to keep that environment as close to a "real" HPC as possible. The issue to trying to automate the installation process will also be covered."
Learn more: https://github.com/colinsauze/pi_cluster
and
https://fosdem.org/2020/schedule/events/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Overview of HPC Interconnects
In this deck from ATPESC 2019, Ken Raffenetti from Argonne presents an overview of HPC interconnects.
"The Argonne Training Program on Extreme-Scale Computing (ATPESC) provides intensive, two-week training on the key skills, approaches, and tools to design, implement, and execute computational science and engineering applications on current high-end computing systems and the leadership-class computing systems of the future."
Watch the video: https://wp.me/p3RLHQ-luc
Learn more: https://extremecomputingtraining.anl.gov/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Efficient Model Selection for Deep Neural Networks on Massively Parallel Proc...
In this deck from FOSDEM 2020, Frank McQuillan from Pivotal presents: Efficient Model Selection for Deep Neural Networks on Massively Parallel Processing Databases.
"In this session we will present an efficient way to train many deep learning model configurations at the same time with Greenplum, a free and open source massively parallel database based on PostgreSQL. The implementation involves distributing data to the workers that have GPUs available and hopping model state between those workers, without sacrificing reproducibility or accuracy. Then we apply optimization algorithms to generate and prune the set of model configurations to try.
Deep neural networks are revolutionizing many machine learning applications, but hundreds of trials may be needed to generate a good model architecture and associated hyperparameters. This is the challenge of model selection. It is time consuming and expensive, especially if you are only training one model at a time.
Massively parallel processing databases can have hundreds of workers, so can you use this parallel compute architecture to address the challenge of model selection for deep nets, in order to make it faster and cheaper?
It’s possible!
We will demonstrate results from this project using a version of Hyperband, which is a well known hyperparameter optimization algorithm, and the deep learning frameworks Keras and TensorFlow, all running on Greenplum database using Apache MADlib. Other topics will include architecture, scalability results and bright opportunities for the future."
Watch the video: https://wp.me/p3RLHQ-lsQ
Learn more: https://fosdem.org/2020/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
More from inside-BigData.com (20)
Preparing to program Aurora at Exascale - Early experiences and future direct...
Preparing to program Aurora at Exascale - Early experiences and future direct...
The Incorporation of Machine Learning into Scientific Simulations at Lawrence...
The Incorporation of Machine Learning into Scientific Simulations at Lawrence...
How to Achieve High-Performance, Scalable and Distributed DNN Training on Mod...
How to Achieve High-Performance, Scalable and Distributed DNN Training on Mod...
Evolving Cyberinfrastructure, Democratizing Data, and Scaling AI to Catalyze ...
Evolving Cyberinfrastructure, Democratizing Data, and Scaling AI to Catalyze ...
Biohybrid Robotic Jellyfish for Future Applications in Ocean Monitoring
Biohybrid Robotic Jellyfish for Future Applications in Ocean Monitoring
HPC at Scale Enabled by DDN A3i and NVIDIA SuperPOD
HPC at Scale Enabled by DDN A3i and NVIDIA SuperPOD
Versal Premium ACAP for Network and Cloud Acceleration
Versal Premium ACAP for Network and Cloud Acceleration
Zettar: Moving Massive Amounts of Data across Any Distance Efficiently
Zettar: Moving Massive Amounts of Data across Any Distance Efficiently
CUDA-Python and RAPIDS for blazing fast scientific computing
CUDA-Python and RAPIDS for blazing fast scientific computing
Efficient Model Selection for Deep Neural Networks on Massively Parallel Proc...
Efficient Model Selection for Deep Neural Networks on Massively Parallel Proc...
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Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
TrustArc Webinar - 2024 Global Privacy Survey
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Video Streaming: Then, Now, and in the Future
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Best 20 SEO Techniques To Improve Website Visibility In SERP
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
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We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
GraphRAG for Life Science to increase LLM accuracy
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Communications Mining Series - Zero to Hero - Session 1
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
Presentation of the OECD Artificial Intelligence Review of Germany
Consult the full report at https://www.oecd.org/digital/oecd-artificial-intelligence-review-of-germany-609808d6-en.htm
Removing Uninteresting Bytes in Software Fuzzing
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Artificial Intelligence for XMLDevelopment
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
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For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.20240609 QFM020 Irresponsible AI Reading List May 2024
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Welcome to the 2015 Stanford HPC Conference
- 1. Welcome! Wireless Info SSID: Stanford Username: HPCC Password: Stanford
- 3. 3 Day 1 Agenda 9:00-9:30 Opening/welcome Session (Steve Jones - Stanford, Gilad Shainer – HPC Advisory Council) 9:30-10:30 Keynote: Preparing OpenSHMEM for Exascale (Pavel Shamis, Oak Ridge National Lab) 10:30-11:30 Keynote: High-Performance and Scalable Designs of Programming Models for Exascale Systems (Dhabaleswar K. Panda, Ohio State University) 11:30-12:00 IBM Describes Top Considerations for Deploying a High Performance Cloud (Charlie Gonzales, IBM) 12:00-13:00 Lunch and vendor exhibits 13:00-13:30 Scientific computing with Intel Xeon Phi coprocessors (Andrey Vladimirov, Colfax and Intel) 13:30-14:15 High Performance Computing Trends (Addison Snell, Intersect 360) 14:15-15:00 The Road to Exascale Panel (DK Panda, Addison Snell, Richard Graham) 15:00-15:30 Break and vendor exhibits 15:30-16:00 Power, Cooling and Hardware Considerations for Next Generation Data Center & HPC Solutions (Kanti Bhabuthmal, Supermicro) 16:00-16:45 The Breadth of the GPU Accelerated Computing Platform and Its Impact on Deep Learning (Sumit Gupta, NVIDIA) 16:45-17:45 HPC in an Hour: Tips and tricks to build your own HPC Cluster (Steve Jones, Stanford)
- 4. 4 Day 2 Agenda 9:00-10:00 Keynotes: Interconnecting Future DoE leadership systems (Rich Graham, MPI Forum and Mellanox) 10:00-11:00 Keynote: The Evolution of HPC Usage at PayPal (Arno Kolster, eBay) 11:00-11:30 Accelerating Big Data Processing with Hadoop, Spark and Memcached (Dhabaleswar K. Panda, Ohio State University) 11:30-12:00 Recent Developments in Cooling, Power Management and Usability (Mark Fernandez, SGI) 12:00-13:00 Lunch and vendor exhibits 13:00-13:30 Planning for Liquid Cooling (Pat McGinn, CoollIT Systems) 13:30-14:00 Lustre Metadata Performance and Solutions from Seagate (Bill Loewe, Seagate) 14:00-14:30 A merit based priority scheme to optimize the use of computing infrastructure (Gowtham S., Michigan Technological University) 14:30-15:00 HPC|Music update – An advanced research project for enabling HPC in music creation and reproduction e (Antonis Karalis, HPC|Music) 15:00-15:30 Break and vendor exhibits 15:30-16:15 Performance and Power Characterization of GPU enabled HPC Applications (Saeed Iqbal, Dell) 16:15-16:45 Utilizing Cloud HPC Resources for CAE Simulations (Joris Poort, Rescale) 16:45-17:15 UberCloud Community and Marketplace for Technical Computing (Burak Yenier, UberCloud) 17:15 Farewell and Raffle
- 5. 5 Administration • The workshop goals – Education, training, solutions, futures • 2 days workshop and a tight schedule – We encourage live discussions – We want to have all sessions start in time – There are breaks for offline discussions • Speakers – make sure we have your slides! • Raffle – Tuesday afternoon! • Please visit our sponsors tables
- 6. 6 HPC Advisory Council Members
- 7. 7 HPC Advisory Council HPC Center Dell™ PowerEdge™ R730 32-node cluster HP Cluster Platform 3000SL 16-node cluster HP ProLiant SL230s Gen8 4-node cluster Dell™ PowerEdge™ R815 11-node cluster Dell™ PowerEdge™ C6145 6-node cluster Dell™ PowerEdge™ M610 38-node cluster Dell™ PowerEdge™ C6100 4-node cluster White-box InfiniBand-based Storage (Lustre) Dell™ PowerEdge™ R720xd/R720 32-node cluster Dell PowerVault MD3420 Dell PowerVault MD3460 InfiniBand Storage (Lustre)
- 8. 8 Exploring All Platforms X86, Power, GPU, FPGA and ARM based Platforms x86 Power FPGA ARMGPU
- 9. 9 • LS-DYNA • miniFE • MILC • MSC Nastran • MR Bayes • MM5 • MPQC • NAMD • Nekbone • NEMO • NWChem • Octopus • OpenAtom • OpenFOAM • MILC • OpenMX • PARATEC • PFA • PFLOTRAN • Quantum ESPRESSO • RADIOSS • SPECFEM3D • WRF 140+ Applications Best Practices Published • Abaqus • AcuSolve • Amber • AMG • AMR • ABySS • ANSYS CFX • ANSYS FLUENT • ANSYS Mechanics • BQCD • CCSM • CESM • COSMO • CP2K • CPMD • Dacapo • Desmond • DL-POLY • Eclipse • FLOW-3D • GADGET-2 • GROMACS • Himeno • HOOMD-blue • HYCOM • ICON • Lattice QCD • LAMMPS
- 10. 10 University Award Program • University award program – Universities are encouraged to submit proposals for advanced research – Once / twice a year, the HPC Advisory Council will select a few proposals • Selected proposal will be provided with: – Exclusive computation time on the HPC Advisory Council’s Compute Center – Invitation to present in one of the HPC Advisory Council’s worldwide workshops – Publication of the research results on the HPC Advisory Council website • 2010 award winner is Dr. Xiangqian Hu, Duke University – Topic: “Massively Parallel Quantum Mechanical Simulations for Liquid Water” • 2011 award winner is Dr. Marco Aldinucci, University of Torino – Topic: “Effective Streaming on Multi-core by Way of the FastFlow Framework’ • 2012 award winner is Jacob Nelson, University of Washington – “Runtime Support for Sparse Graph Applications” • 2013 award winner is Antonis Karalis – Topic: “Music Production using HPC” • 2014 award winner is Antonis Karalis – Topic: “Music Production using HPC” • To submit a proposal – please check the HPC Advisory Council web site
- 11. 11 ISC’14 – Student Cluster Challenge Teams
- 12. 12 ISC’14 – Student Cluster Challenge Teams
- 13. 13 Getting Ready to 2015 Student Cluster Competition
- 14. 14 2015 HPC Advisory Council Conferences • USA (Stanford University) – February 2015 • Switzerland – March 2015 • Brazil – May 2015 • Germany (ISC’13) – July 2015 • Spain – Sep 2015 • Singapore – Oct 2015 • China (HPC China) – Oct 2015 • South Africa – Dec 2015 Join Us!
- 15. 1515 Web: www.hpcadvisorycouncil.com Email: info@hpcadvisorycouncil.com Facebook: http://www.facebook.com/HPCAdvisoryCouncil Twitter: www.twitter.com/hpccouncil YouTube: www.youtube.com/user/hpcadvisorycouncil Contact Us
- 16. Stanford Conference and Exascale Workshop 2015 Welcome!