Slides presented at the FlexTiles Workshop at FPL'2014.
Presentation #8: FlexTiles Demo
FlexTiles is a heterogeneous many-core platform reconfigurable at run-time developed within an FP7 project.
Slides presented at the FlexTiles Workshop at FPL'2014.
Presentation #6: FlexTiles Embedded FPGA Accelerators
FlexTiles is a heterogeneous many-core platform reconfigurable at run-time developed within an FP7 project.
Slides presented at the FlexTiles Workshop at FPL'2014.
Presentation #7: FlexTiles Emulation platform
FlexTiles is a heterogeneous many-core platform reconfigurable at run-time developed within an FP7 project.
FlexTiles Platform integrated in 19" Rack EnclosureFlexTiles Team
The FlexTiles Development Platform is suitable for verifying the concept of a single 3D SoC chip design, but with a 19" Rack enclosure it can scale to either a larger 3D chip design or become a FPGA-based HPC
Conference on Adaptive Hardware and Systems (AHS'14) - The FlexTiles Embedded...FlexTiles Team
The FP7 FlexTiles Project will provide tools for building a 3D SoC chip. This chip has an FPGA embedded and these slides will explain the ideas and how we will make it a re-configurable fabric like never seen before
Conference on Adaptive Hardware and Systems (AHS'14) - The 3D FlexTiles ConceptFlexTiles Team
The FP7 FlexTiles Project's ultimate goal is to design tools for enableing the design of a System-on-Chip that contains CPUs/GPPs, DSPs and FPGA logic and this chip is not an ordinary SoC chip; it's a 3D chip and these slides explains why a 3D concept is requries
Preparing to program Aurora at Exascale - Early experiences and future direct...inside-BigData.com
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
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
Slides presented at the FlexTiles Workshop at FPL'2014.
Presentation #6: FlexTiles Embedded FPGA Accelerators
FlexTiles is a heterogeneous many-core platform reconfigurable at run-time developed within an FP7 project.
Slides presented at the FlexTiles Workshop at FPL'2014.
Presentation #7: FlexTiles Emulation platform
FlexTiles is a heterogeneous many-core platform reconfigurable at run-time developed within an FP7 project.
FlexTiles Platform integrated in 19" Rack EnclosureFlexTiles Team
The FlexTiles Development Platform is suitable for verifying the concept of a single 3D SoC chip design, but with a 19" Rack enclosure it can scale to either a larger 3D chip design or become a FPGA-based HPC
Conference on Adaptive Hardware and Systems (AHS'14) - The FlexTiles Embedded...FlexTiles Team
The FP7 FlexTiles Project will provide tools for building a 3D SoC chip. This chip has an FPGA embedded and these slides will explain the ideas and how we will make it a re-configurable fabric like never seen before
Conference on Adaptive Hardware and Systems (AHS'14) - The 3D FlexTiles ConceptFlexTiles Team
The FP7 FlexTiles Project's ultimate goal is to design tools for enableing the design of a System-on-Chip that contains CPUs/GPPs, DSPs and FPGA logic and this chip is not an ordinary SoC chip; it's a 3D chip and these slides explains why a 3D concept is requries
Preparing to program Aurora at Exascale - Early experiences and future direct...inside-BigData.com
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
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
CUDA-Python and RAPIDS for blazing fast scientific computinginside-BigData.com
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
In this deck from the Argonne Training Program on Extreme-Scale Computing 2019, Howard Pritchard from LANL and Simon Hammond from Sandia present: NNSA Explorations: ARM for Supercomputing.
"The Arm-based Astra system at Sandia will be used by the National Nuclear Security Administration (NNSA) to run advanced modeling and simulation workloads for addressing areas such as national security, energy and science.
"By introducing Arm processors with the HPE Apollo 70, a purpose-built HPC architecture, we are bringing powerful elements, like optimal memory performance and greater density, to supercomputers that existing technologies in the market cannot match,” said Mike Vildibill, vice president, Advanced Technologies Group, HPE. “Sandia National Laboratories has been an active partner in leveraging our Arm-based platform since its early design, and featuring it in the deployment of the world’s largest Arm-based supercomputer, is a strategic investment for the DOE and the industry as a whole as we race toward achieving exascale computing.”
Watch the video: https://wp.me/p3RLHQ-l29
Learn more: https://insidehpc.com/2018/06/arm-goes-big-hpe-builds-petaflop-supercomputer-sandia/
and
https://extremecomputingtraining.anl.gov/agenda-2019/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
In this deck from the UK HPC Conference, Gunter Roeth from NVIDIA presents: Hardware & Software Platforms for HPC, AI and ML.
"Data is driving the transformation of industries around the world and a new generation of AI applications are effectively becoming programs that write software, powered by data, vs by computer programmers. Today, NVIDIA’s tensor core GPU sits at the core of most AI, ML and HPC applications, and NVIDIA software surrounds every level of such a modern application, from CUDA and libraries like cuDNN and NCCL embedded in every deep learning framework and optimized and delivered via the NVIDIA GPU Cloud to reference architectures designed to streamline the deployment of large scale infrastructures."
Watch the video: https://wp.me/p3RLHQ-l2Y
Learn more: http://nvidia.com
and
http://hpcadvisorycouncil.com/events/2019/uk-conference/agenda.php
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
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
In this deck, Ronald P. Luijten from IBM Research in Zurich presents: DOME 64-bit μDataCenter.
I like to call it a datacenter in a shoebox. With the combination of power and energy efficiency, we believe the microserver will be of interest beyond the DOME project, particularly for cloud data centers and Big Data analytics applications."
The microserver’s team has designed and demonstrated a prototype 64-bit microserver using a PowerPC based chip from Freescale Semiconductor running Linux Fedora and IBM DB2. At 133 × 55 mm2 the microserver contains all of the essential functions of today’s servers, which are 4 to 10 times larger in size. Not only is the microserver compact, it is also very energy-efficient.
Watch the video: http://wp.me/p3RLHQ-gJM
Learn more: https://www.zurich.ibm.com/microserver/
Sign up for our insideHPC Newsletter: http://insideHPC/newsletter
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
"Algorithmic processing performed in High Performance Computing environments impacts the lives of billions of people, and planning for exascale computing presents significant power challenges to the industry. ARM delivers the enabling technology behind HPC. The 64-bit design of the ARMv8-A architecture combined with Advanced SIMD vectorization are ideal to enable large scientific computing calculations to be executed efficiently on ARM HPC machines. In addition ARM and its partners are working to ensure that all the software tools and libraries, needed by both users and systems administrators, are provided in readily available, optimized packages."
Learn more: https://developer.arm.com/hpc
and
http://hpcuserforum.com
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Trends in Systems and How to Get Efficient Performanceinside-BigData.com
In this video from Switzerland HPC Conference, Martin Hilgeman from Dell presents: HPC Workload Efficiency and the Challenges for System Builders.
"With all the advances in massively parallel and multi-core computing with CPUs and accelerators it is often overlooked whether the computational work is being done in an efficient manner. This efficiency is largely being determined at the application level and therefore puts the responsibility of sustaining a certain performance trajectory into the hands of the user. It is observed that the adoption rate of new hardware capabilities is decreasing and lead to a feeling of diminishing returns. This presentation shows the well-known laws of parallel performance from the perspective of a system builder. It also covers through the use of real case studies, examples of how to program for energy efficient parallel application performance."
Watch the video: http://wp.me/p3RLHQ-gIS
Learn more: http://dell.com
and
http://www.hpcadvisorycouncil.com/events/2017/swiss-workshop/agenda.php
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
How to Achieve High-Performance, Scalable and Distributed DNN Training on Mod...inside-BigData.com
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
CINECA for HCP and e-infrastructures infrastructuresCineca
Sanzio Bassini. Head of the HPC Department of Cineca. Cineca is the technological partner of the Ministry of Education, and takes part in the Italian commitment for the development of e-infrastrcuture in Italy and in Europe for HCP and HCP technologies; scientific data repository and management, cloud computing for industries and Public administration, for the development of computing intensive and data intensive methods for science and engineering
Cineca offers a unique offer for: open access of integrated tier0 and tier1 HCP national infrastructure; of education and training activities under the umbrella of PRACE Training
advanced center action; integrated help desk and scale up process for HCP users support
In this deck, Jean-Pierre Panziera from Atos presents: BXI - Bull eXascale Interconnect.
"Exascale entails an explosion of performance, of the number of nodes/cores, of data volume and data movement. At such a scale, optimizing the network that is the backbone of the system becomes a major contributor to global performance. The interconnect is going to be a key enabling technology for exascale systems. This is why one of the cornerstones of Bull’s exascale program is the development of our own new-generation interconnect. The Bull eXascale Interconnect or BXI introduces a paradigm shift in terms of performance, scalability, efficiency, reliability and quality of service for extreme workloads."
Watch the video: http://wp.me/p3RLHQ-gJa
Learn more: https://bull.com/bull-exascale-interconnect/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
In this deck from the RISC-V Workshop in Barcelona, Mateo Valero, Director of the Barcelona Supercomputer center, explains how the RISC-V architecture can play a main role in new supercomputer architectures.
"RISC-V is an open, free ISA enabling a new era of processor innovation through open standard collaboration. Born in academia and research, RISC-V ISA delivers a new level of free, extensible software and hardware freedom on architecture, paving the way for the next 50 years of computing design and innovation."
Watch the video interview:
Learn more: https://tmt.knect365.com/risc-v-workshop-barcelona/
How to Terminate the GLIF by Building a Campus Big Data Freeway SystemLarry Smarr
12.10.11
Keynote Lecture
12th Annual Global LambdaGrid Workshop
Title: How to Terminate the GLIF by Building a Campus Big Data Freeway System
Chicago, IL
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Here you'll find frequent updates about our seminars, both locally and internationally, as well as news articles related to Banners Broker Version 2
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Save your time and money
CUDA-Python and RAPIDS for blazing fast scientific computinginside-BigData.com
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
In this deck from the Argonne Training Program on Extreme-Scale Computing 2019, Howard Pritchard from LANL and Simon Hammond from Sandia present: NNSA Explorations: ARM for Supercomputing.
"The Arm-based Astra system at Sandia will be used by the National Nuclear Security Administration (NNSA) to run advanced modeling and simulation workloads for addressing areas such as national security, energy and science.
"By introducing Arm processors with the HPE Apollo 70, a purpose-built HPC architecture, we are bringing powerful elements, like optimal memory performance and greater density, to supercomputers that existing technologies in the market cannot match,” said Mike Vildibill, vice president, Advanced Technologies Group, HPE. “Sandia National Laboratories has been an active partner in leveraging our Arm-based platform since its early design, and featuring it in the deployment of the world’s largest Arm-based supercomputer, is a strategic investment for the DOE and the industry as a whole as we race toward achieving exascale computing.”
Watch the video: https://wp.me/p3RLHQ-l29
Learn more: https://insidehpc.com/2018/06/arm-goes-big-hpe-builds-petaflop-supercomputer-sandia/
and
https://extremecomputingtraining.anl.gov/agenda-2019/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
In this deck from the UK HPC Conference, Gunter Roeth from NVIDIA presents: Hardware & Software Platforms for HPC, AI and ML.
"Data is driving the transformation of industries around the world and a new generation of AI applications are effectively becoming programs that write software, powered by data, vs by computer programmers. Today, NVIDIA’s tensor core GPU sits at the core of most AI, ML and HPC applications, and NVIDIA software surrounds every level of such a modern application, from CUDA and libraries like cuDNN and NCCL embedded in every deep learning framework and optimized and delivered via the NVIDIA GPU Cloud to reference architectures designed to streamline the deployment of large scale infrastructures."
Watch the video: https://wp.me/p3RLHQ-l2Y
Learn more: http://nvidia.com
and
http://hpcadvisorycouncil.com/events/2019/uk-conference/agenda.php
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
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
In this deck, Ronald P. Luijten from IBM Research in Zurich presents: DOME 64-bit μDataCenter.
I like to call it a datacenter in a shoebox. With the combination of power and energy efficiency, we believe the microserver will be of interest beyond the DOME project, particularly for cloud data centers and Big Data analytics applications."
The microserver’s team has designed and demonstrated a prototype 64-bit microserver using a PowerPC based chip from Freescale Semiconductor running Linux Fedora and IBM DB2. At 133 × 55 mm2 the microserver contains all of the essential functions of today’s servers, which are 4 to 10 times larger in size. Not only is the microserver compact, it is also very energy-efficient.
Watch the video: http://wp.me/p3RLHQ-gJM
Learn more: https://www.zurich.ibm.com/microserver/
Sign up for our insideHPC Newsletter: http://insideHPC/newsletter
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
"Algorithmic processing performed in High Performance Computing environments impacts the lives of billions of people, and planning for exascale computing presents significant power challenges to the industry. ARM delivers the enabling technology behind HPC. The 64-bit design of the ARMv8-A architecture combined with Advanced SIMD vectorization are ideal to enable large scientific computing calculations to be executed efficiently on ARM HPC machines. In addition ARM and its partners are working to ensure that all the software tools and libraries, needed by both users and systems administrators, are provided in readily available, optimized packages."
Learn more: https://developer.arm.com/hpc
and
http://hpcuserforum.com
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Trends in Systems and How to Get Efficient Performanceinside-BigData.com
In this video from Switzerland HPC Conference, Martin Hilgeman from Dell presents: HPC Workload Efficiency and the Challenges for System Builders.
"With all the advances in massively parallel and multi-core computing with CPUs and accelerators it is often overlooked whether the computational work is being done in an efficient manner. This efficiency is largely being determined at the application level and therefore puts the responsibility of sustaining a certain performance trajectory into the hands of the user. It is observed that the adoption rate of new hardware capabilities is decreasing and lead to a feeling of diminishing returns. This presentation shows the well-known laws of parallel performance from the perspective of a system builder. It also covers through the use of real case studies, examples of how to program for energy efficient parallel application performance."
Watch the video: http://wp.me/p3RLHQ-gIS
Learn more: http://dell.com
and
http://www.hpcadvisorycouncil.com/events/2017/swiss-workshop/agenda.php
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
How to Achieve High-Performance, Scalable and Distributed DNN Training on Mod...inside-BigData.com
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
CINECA for HCP and e-infrastructures infrastructuresCineca
Sanzio Bassini. Head of the HPC Department of Cineca. Cineca is the technological partner of the Ministry of Education, and takes part in the Italian commitment for the development of e-infrastrcuture in Italy and in Europe for HCP and HCP technologies; scientific data repository and management, cloud computing for industries and Public administration, for the development of computing intensive and data intensive methods for science and engineering
Cineca offers a unique offer for: open access of integrated tier0 and tier1 HCP national infrastructure; of education and training activities under the umbrella of PRACE Training
advanced center action; integrated help desk and scale up process for HCP users support
In this deck, Jean-Pierre Panziera from Atos presents: BXI - Bull eXascale Interconnect.
"Exascale entails an explosion of performance, of the number of nodes/cores, of data volume and data movement. At such a scale, optimizing the network that is the backbone of the system becomes a major contributor to global performance. The interconnect is going to be a key enabling technology for exascale systems. This is why one of the cornerstones of Bull’s exascale program is the development of our own new-generation interconnect. The Bull eXascale Interconnect or BXI introduces a paradigm shift in terms of performance, scalability, efficiency, reliability and quality of service for extreme workloads."
Watch the video: http://wp.me/p3RLHQ-gJa
Learn more: https://bull.com/bull-exascale-interconnect/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
In this deck from the RISC-V Workshop in Barcelona, Mateo Valero, Director of the Barcelona Supercomputer center, explains how the RISC-V architecture can play a main role in new supercomputer architectures.
"RISC-V is an open, free ISA enabling a new era of processor innovation through open standard collaboration. Born in academia and research, RISC-V ISA delivers a new level of free, extensible software and hardware freedom on architecture, paving the way for the next 50 years of computing design and innovation."
Watch the video interview:
Learn more: https://tmt.knect365.com/risc-v-workshop-barcelona/
How to Terminate the GLIF by Building a Campus Big Data Freeway SystemLarry Smarr
12.10.11
Keynote Lecture
12th Annual Global LambdaGrid Workshop
Title: How to Terminate the GLIF by Building a Campus Big Data Freeway System
Chicago, IL
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Here you'll find frequent updates about our seminars, both locally and internationally, as well as news articles related to Banners Broker Version 2
http://bannersbroker.com/incomeproof
Save your time and money
Korte inleiding op PentaPolitica.nl, gemaakt voor developers bijeenkomst van het PoliticalMashup project (politicalmashup.nl) gehouden op 19 oktober 2010.
Beschrijving van de momenteel beschikbare data, ’current work’ en plannen voor de toekomst.
Slide share social media introduction by oliver de leeuw and salmaan (for dow...Oliver de Leeuw
For the training agency DownSideUp, we created an introduction training in 3 most used social media: LinkedIn, Facebook and Twitter. These are some of the supporting slides we used. Do contact us for more info!
Небольшой рассказ про то, как правильно готовить стажировки, зачем нужны летние школы и кто такие интерны, если это не сериал про врачей.
Горячие темы:
- Чего можно добиться от студента, если вывезти его в лес?
- Сколько нужно junior-ов, чтобы свести к нулю работу одного senior-а?
- Почему руководителю программы обучения должен жать руку Куклачёв?
Декабрь 2013, HappyDev, Омск.
Slides presented at the FlexTiles Workshop at FPL'2014.
Presentation #3: FlexTiles DSP Accelerators
FlexTiles is a heterogeneous many-core platform reconfigurable at run-time developed within an FP7 project.
Adaptive Hardware and Systems (AHS'14) - FlexTiles OVP DemoFlexTiles Team
The OVP - http://www.ovpworld.org/ - tools are used by the FlexTiles Team to simulate the MultiCore implementation of the GPU. In this example, we have 2x MicroBlaze CPU running in Parallel
Slides presented at the FlexTiles Workshop at FPL'2014.
Presentation #5:FlexTiles Simulation Platform
FlexTiles is a heterogeneous many-core platform reconfigurable at run-time developed within an FP7 project.
Slides presented at the FlexTiles Workshop at FPL'2014.
Presentation #4: FlexTiles Virtual Platform
FlexTiles is a heterogeneous many-core platform reconfigurable at run-time developed within an FP7 project.
FPL'2014 - FlexTiles Workshop - 1 - FlexTiles OverviewFlexTiles Team
Slides presented at the FlexTiles Workshop at FPL'2014.
Presentation #1: FlexTiles overview
FlexTiles is a heterogeneous many-core platform reconfigurable at run-time developed within an FP7 project.
Conference on Adaptive Hardware and Systems (AHS'14) - Why FlexTiles uses OVP...FlexTiles Team
The FlexTiles concept is going to integrate DSPs, GPPs/CPUs and a Embedded FPGA and OVP - http://www.ovpworld.org/ - tools makes it easier to simulate and these Slides will explain how
DAIS19: On the Performance of ARM TrustZoneLEGATO project
Presented by Valerio Schiavoni @vschiavoni at DAIS 19
The TrustZone technology, available in the vast majority of recent Arm processors, allows the execution of code inside a so-called secure world. It effectively provides hardware-isolated areas of the processor for sensitive data and code, i.e., a trusted execution environment (TEE). The Op-Tee framework provides a collection of toolchain, opensource libraries and secure kernel specifically geared to develop applications for TrustZone. This paper presents an in-depth performance- and energy-wise study of TrustZone using the Op-Tee framework, including secure storage and the cost of switching between secure and unsecure worlds, using emulated and hardware measurements.
Conference on Adaptive Hardware and Systems (AHS'14) - The DSP for FlexTilesFlexTiles Team
The FP7 FlexTiles Project uses DSP accelerators. They are connected with each other - and with the general purpose procesors (GPPs) through a Network-on-Chip (NoC). These slides give the details about the DSP accelerator.
[Capella Day Toulouse] ATL2 modernization: when MBSE keeps its promisesObeo
Talk held by Guillaume Journaux and Tony Soquet (Thales Services) at Capella Day Toulouse 2017.
More details: https://www.eclipsecon.org/france2017/capella-day
This white paper introduces EMC Fully Automated Storage Tiering for Virtual Pools (FAST VP) technology and describes its features and implementation. Details on how to use the product in Unisphere are discussed, and usage guidance and major customer benefits are also included.
Conference on Adaptive Hardware and Systems (AHS'14) - FlexTiles FPGA EmulationFlexTiles Team
The FP7 FlexTiles Project will provide a tool-chain that allows DSPs, CPUs and a FPGA to be implemented on the FlexTiles Development Platform. This slide gives some details about the dynamic re-configurable of the FPGA by the CPU
Conference on Adaptive Hardware and Systems (AHS'14) - FlexTiles IntroductionsFlexTiles Team
FlexTiles is a FP7 Project with the goal of designing a tool-chain for the design of a 3D SoC and prototype on a FPGA Development Platform. This presentation covers the "why, how, when and where" of the Project that will complete in Year 2015
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
NUMERICAL SIMULATIONS OF HEAT AND MASS TRANSFER IN CONDENSING HEAT EXCHANGERS...ssuser7dcef0
Power plants release a large amount of water vapor into the
atmosphere through the stack. The flue gas can be a potential
source for obtaining much needed cooling water for a power
plant. If a power plant could recover and reuse a portion of this
moisture, it could reduce its total cooling water intake
requirement. One of the most practical way to recover water
from flue gas is to use a condensing heat exchanger. The power
plant could also recover latent heat due to condensation as well
as sensible heat due to lowering the flue gas exit temperature.
Additionally, harmful acids released from the stack can be
reduced in a condensing heat exchanger by acid condensation. reduced in a condensing heat exchanger by acid condensation.
Condensation of vapors in flue gas is a complicated
phenomenon since heat and mass transfer of water vapor and
various acids simultaneously occur in the presence of noncondensable
gases such as nitrogen and oxygen. Design of a
condenser depends on the knowledge and understanding of the
heat and mass transfer processes. A computer program for
numerical simulations of water (H2O) and sulfuric acid (H2SO4)
condensation in a flue gas condensing heat exchanger was
developed using MATLAB. Governing equations based on
mass and energy balances for the system were derived to
predict variables such as flue gas exit temperature, cooling
water outlet temperature, mole fraction and condensation rates
of water and sulfuric acid vapors. The equations were solved
using an iterative solution technique with calculations of heat
and mass transfer coefficients and physical properties.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
HEAP SORT ILLUSTRATED WITH HEAPIFY, BUILD HEAP FOR DYNAMIC ARRAYS.
Heap sort is a comparison-based sorting technique based on Binary Heap data structure. It is similar to the selection sort where we first find the minimum element and place the minimum element at the beginning. Repeat the same process for the remaining elements.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
The Internet of Things (IoT) is a revolutionary concept that connects everyday objects and devices to the internet, enabling them to communicate, collect, and exchange data. Imagine a world where your refrigerator notifies you when you’re running low on groceries, or streetlights adjust their brightness based on traffic patterns – that’s the power of IoT. In essence, IoT transforms ordinary objects into smart, interconnected devices, creating a network of endless possibilities.
Here is a blog on the role of electrical and electronics engineers in IOT. Let's dig in!!!!
For more such content visit: https://nttftrg.com/
6th International Conference on Machine Learning & Applications (CMLA 2024)ClaraZara1
6th International Conference on Machine Learning & Applications (CMLA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications.
2. 2 /
The information contained in this document and any attachments are the property of FlexTiles consortium. You are hereby notified that any review, dissemination, distribution, copying or otherwise use of this document must be done in accordance with the CA of the project (TRT/DJ/624412785.2011). Template version 1.0
Outline
Outline of the demo
Normal usage of OVP
Small example platform
WebGUI for OVP
More complex platform
3. 3 /
The information contained in this document and any attachments are the property of FlexTiles consortium. You are hereby notified that any review, dissemination, distribution, copying or otherwise use of this document must be done in accordance with the CA of the project (TRT/DJ/624412785.2011). Template version 1.0
Outline
Normal usage of OVP
Example: Susan application
2 GPPs for application
1 Monitoring Core gathering the output
4. 4 /
The information contained in this document and any attachments are the property of FlexTiles consortium. You are hereby notified that any review, dissemination, distribution, copying or otherwise use of this document must be done in accordance with the CA of the project (TRT/DJ/624412785.2011). Template version 1.0
Platform + Mapping
uBlaze
DMA
2x
256kbyte
256kbyte
8 kbyte
8 kbyte
uBlaze
DMA
2x
8 kbyte
8 kbyte
256kbyte
256kbyte
Tile 2
Tile 1
CoMik
CoMik
VL
VL
Susan
RTOS
NoC
RM
RM
Hardware
Software
5. 5 /
The information contained in this document and any attachments are the property of FlexTiles consortium. You are hereby notified that any review, dissemination, distribution, copying or otherwise use of this document must be done in accordance with the CA of the project (TRT/DJ/624412785.2011). Template version 1.0
Susan
Platform + Mapping
uBlaze
DMA
2x
256kbyte
256kbyte
8 kbyte
8 kbyte
uBlaze
DMA
2x
8 kbyte
8 kbyte
256kbyte
256kbyte
Tile 2
Tile 1
CoMik
CoMik
VL
VL
Susan
RTOS
Susan
RTOS
NoC
MCU_block
2.8kb
RM
RM
Hardware
Software
6. 6 /
The information contained in this document and any attachments are the property of FlexTiles consortium. You are hereby notified that any review, dissemination, distribution, copying or otherwise use of this document must be done in accordance with the CA of the project (TRT/DJ/624412785.2011). Template version 1.0
Outline
WebGUI for OVP
Example: Frequeny Scaling
Application: simple integer processing
4 GPPs for application
1 GPP for Global Virtualization Layer
7. 7 /
The information contained in this document and any attachments are the property of FlexTiles consortium. You are hereby notified that any review, dissemination, distribution, copying or otherwise use of this document must be done in accordance with the CA of the project (TRT/DJ/624412785.2011). Template version 1.0
WP4 Demonstration - Virtualisation Layer
Application Frequency Scaling
Core 3
Core 2
Core 1
A2
A3
A4
Core 0
A1
Core 4
VL
VL0
VL1
VL2
VL3
GVL
FIFO A2–A4
FIFO A1–A2
FIFO A1–A3
FIFO A3–A4
FIFO VL–A1
FIFO VL–A2
FIFO VL–A3
FIFO VL–A4
Shared Memory
40
40
40
40
8. 8 /
The information contained in this document and any attachments are the property of FlexTiles consortium. You are hereby notified that any review, dissemination, distribution, copying or otherwise use of this document must be done in accordance with the CA of the project (TRT/DJ/624412785.2011). Template version 1.0
WP4 Demonstration - Virtualisation Layer
Application Frequency Scaling Algorithm
Core 3
Core 2
Core 1
A2
A3
A4
Core 0
A1
LOAD
EXECUTE
EXECUTE
STORE
FULL
NORMAL
EMPTY
NORMAL
NORMAL > 20% < 80%
9. 9 /
The information contained in this document and any attachments are the property of FlexTiles consortium. You are hereby notified that any review, dissemination, distribution, copying or otherwise use of this document must be done in accordance with the CA of the project (TRT/DJ/624412785.2011). Template version 1.0
WP4 Demonstration - Virtualisation Layer
Application Frequency Scaling
Core 3
Core 2
Core 1
A2
A3
A4
Core 0
A1
Core 4
VL
VL0
VL1
VL2
VL3
GVL
10. 10 /
The information contained in this document and any attachments are the property of FlexTiles consortium. You are hereby notified that any review, dissemination, distribution, copying or otherwise use of this document must be done in accordance with the CA of the project (TRT/DJ/624412785.2011). Template version 1.0
WP4 Demonstration - Virtualisation Layer
Application Frequency Scaling Algorithm
Core 3
Core 2
Core 1
A2
A3
A4
Core 0
A1
LOAD
EXECUTE
EXECUTE
STORE
NORMAL
NORMAL
FULL
FULL
GLOBAL DECISION BY GVL