Our OpenPOWER recap of Day 2 featured challenges within the HPC industry, and how the OpenPOWER Foundation's ecosystem of innovators are rising to solve them.
In our recap of the final day of International Supercomputing 2016, we explore how OpenPOWER members are working in the HPC industry and continue the conversation around cognitive computing, deep learning, and machine learning.
How Do I Understand Deep Learning Performance?NVIDIA
Introduced at GTC 2018, PLASTER outlines critical problems with machine learning. Learn how to address and tackle these problems to better deliver AI-based services.
Read updates highlighting what’s hot in high performance computing, with this week's edition focusing on news of NVIDIA's announcements at Supercomputing 2016.
In our recap of the final day of International Supercomputing 2016, we explore how OpenPOWER members are working in the HPC industry and continue the conversation around cognitive computing, deep learning, and machine learning.
How Do I Understand Deep Learning Performance?NVIDIA
Introduced at GTC 2018, PLASTER outlines critical problems with machine learning. Learn how to address and tackle these problems to better deliver AI-based services.
Read updates highlighting what’s hot in high performance computing, with this week's edition focusing on news of NVIDIA's announcements at Supercomputing 2016.
NVIDIA Volta Tensor Core GPU achieves new AI performance milestones in ResNet-50 for a single chip, single node, and single cloud instance. Explore the performance improvements.
International Journal of Computer Science, Engineering and Information Techn...ijcseit
International Journal of Computer Science, Engineering and Information Technology (IJCSEIT)
will provide an excellent international forum for sharing knowledge and results in theory,
methodology and applications of Computer Science, Engineering and Information Technology.
The Journal looks for significant contributions to all major fields of the Computer Science and
Information Technology in theoretical and practical aspects. The aim of the Journal is to provide
a platform to the researchers and practitioners from both academia as well as industry to meet and
share cutting-edge development in the field.
All submissions must describe original research, not published or currently under review for another
conference or journal
The annual GPU Technology Conference focused on the promising field of deep learning in 2015. And we made four major announcements that will fuel its advancement: Titan X, the world's fastest GPU; DIGITS DevBox, GPU deep learning platform; Pascal GPU architecture; NVIDIA DRIVE PX, deep learning platform for self-driving cars. The press responded to these announcements with quotes, featured in this presentation, including ones from Mashable, Forbes, re/code, and The Wall Street Journal. The week-long event was shared in astounding numbers with many blog posts and streaming keynotes.
Seven Ways to Boost Artificial Intelligence ResearchNVIDIA
Higher education institutions have long been the backbone of scientific breakthroughs, view this slideshare to learn seven easy ways to help elevate your research.
NVIDIA Testimony at Senate Commerce, Science, and Transportation Committee He...NVIDIA
Rob Csongor, VP and General Manager of NVIDIA's automotive business, provides his testimony on the important subject of self-driving vehicle technology.
This presentation covers two uses cases using OpenPOWER Systems
1. Diabetic Retinopathy using AI on NVIDIA Jetson Nano: The objective is to classify the diabetic level solely on retina image in a remote area with minimum doctor's inference. The model uses VGG16 network architecture and gets trained from scratch on POWER9. The model was deployed on the Jetson Nano board.
1. Classifying Covid positivity using lung X-ray images: The idea is to build ML models to detect positive cases using X-ray images. The model was trained on POWER9, and the application was developed using Python.
NVIDIA founder and CEO Jensen Huang took the stage in Munich — one of the hubs of the global auto industry — to introduce a powerful new AI computer for fully autonomous vehicles and a new VR application for those who design them.
NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world.
In this special edition of "This week in Data Science," we focus on the top 5 sessions for data scientists from GTC 2019, with links to the free sessions available on demand.
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
As the AI revolution gains momentum, NVIDIA founder and CEO Jensen Huang took the stage in Beijing to show the latest technology for accelerating its mass adoption.
His talk — to more than 3,500 scientists, engineers and press gathered for the three-day event — kicks off a GTC world tour where, in the months, ahead we’ll bring our story to an expected live audience of some 22,000 in Munich, Tel Aviv, Taipei, Washington and Tokyo.
NVIDIA Volta Tensor Core GPU achieves new AI performance milestones in ResNet-50 for a single chip, single node, and single cloud instance. Explore the performance improvements.
International Journal of Computer Science, Engineering and Information Techn...ijcseit
International Journal of Computer Science, Engineering and Information Technology (IJCSEIT)
will provide an excellent international forum for sharing knowledge and results in theory,
methodology and applications of Computer Science, Engineering and Information Technology.
The Journal looks for significant contributions to all major fields of the Computer Science and
Information Technology in theoretical and practical aspects. The aim of the Journal is to provide
a platform to the researchers and practitioners from both academia as well as industry to meet and
share cutting-edge development in the field.
All submissions must describe original research, not published or currently under review for another
conference or journal
The annual GPU Technology Conference focused on the promising field of deep learning in 2015. And we made four major announcements that will fuel its advancement: Titan X, the world's fastest GPU; DIGITS DevBox, GPU deep learning platform; Pascal GPU architecture; NVIDIA DRIVE PX, deep learning platform for self-driving cars. The press responded to these announcements with quotes, featured in this presentation, including ones from Mashable, Forbes, re/code, and The Wall Street Journal. The week-long event was shared in astounding numbers with many blog posts and streaming keynotes.
Seven Ways to Boost Artificial Intelligence ResearchNVIDIA
Higher education institutions have long been the backbone of scientific breakthroughs, view this slideshare to learn seven easy ways to help elevate your research.
NVIDIA Testimony at Senate Commerce, Science, and Transportation Committee He...NVIDIA
Rob Csongor, VP and General Manager of NVIDIA's automotive business, provides his testimony on the important subject of self-driving vehicle technology.
This presentation covers two uses cases using OpenPOWER Systems
1. Diabetic Retinopathy using AI on NVIDIA Jetson Nano: The objective is to classify the diabetic level solely on retina image in a remote area with minimum doctor's inference. The model uses VGG16 network architecture and gets trained from scratch on POWER9. The model was deployed on the Jetson Nano board.
1. Classifying Covid positivity using lung X-ray images: The idea is to build ML models to detect positive cases using X-ray images. The model was trained on POWER9, and the application was developed using Python.
NVIDIA founder and CEO Jensen Huang took the stage in Munich — one of the hubs of the global auto industry — to introduce a powerful new AI computer for fully autonomous vehicles and a new VR application for those who design them.
NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world.
In this special edition of "This week in Data Science," we focus on the top 5 sessions for data scientists from GTC 2019, with links to the free sessions available on demand.
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
As the AI revolution gains momentum, NVIDIA founder and CEO Jensen Huang took the stage in Beijing to show the latest technology for accelerating its mass adoption.
His talk — to more than 3,500 scientists, engineers and press gathered for the three-day event — kicks off a GTC world tour where, in the months, ahead we’ll bring our story to an expected live audience of some 22,000 in Munich, Tel Aviv, Taipei, Washington and Tokyo.
To whom it may concern;
An enthusiastic network engineer with the necessary drive and determination needed
to resolve complex networking issues. Possessing effective organisational skills and
excellent working knowledge of networking technologies and having a commitment
to keep up to date with the latest developments. Experienced in providing motivation,
guidance, Leadership and a up to date networking consultancy service to both colleagues and
clients.
The most fundamental digital modulation techniques are based on keying: PSK (phase-shift keying): a finite number of phases are used. FSK (frequency-shift keying): a finite number of frequencies are used. ... QAM (quadrature amplitude modulation): a finite number of at least two phases and at least two amplitudes are used.
Optimised designs can be supplied in taper roller bearings with high strength cages and, for arduous applications, in a range of advanced special materials.
See the latest in acceleration, deep and machine learning, and more by clicking thru our curated experience of International Supercomputing 2016. Through an OpenPOWER lens, we show you the best news and conversations that took place at ISC June 20-23, 2016 in Frankfurt, Germany.
Stay up-to-date with the OpenACC Monthly Highlights. June's edition covers the OpenACC Summit 2021, NVIDIA GTC'21 on-demand sessions, upcoming GPU Hackathons and Bootcamps, Intersect360 Research HPC market forecast, recent research, new resources and more!
Stay up-to-date with the OpenACC Monthly Highlights. July's edition covers the OpenACC Summit 2021, upcoming GPU Hackathons and Bootcamps, PEARC21 panel review , recent research, new resources and more!
OpenACC and Open Hackathons Monthly Highlights: September 2022.pptxOpenACC
Stay up-to-date on the latest news, research and resources. This month's edition covers the Princeton GPU Hackathon, OpenACC at SC22, updates from GNU Tools Cauldron, the upcoming UK DPU Hackathon, relevant research and more!
Stay up-to-date on the latest news, events and resources for the OpenACC community. This month’s highlights covers the on-demand sessions from the OpenACC Summit 2020, upcoming GPU Hackathons and Bootcamps, an OpenACC-to-FPGA framework, the NERSC GPU Hackathon, new resources and more!
Stay up-to-date on the latest news, events and resources for the OpenACC community. This month’s highlights covers the GPU Hackathon Mentor program, Helmholtz virtual hackathon, GTC21, upcoming GPU Hackathons and Bootcamps, and new resources!
Stay up-to-date on the latest news, events and resources for the OpenACC community. This month’s highlights covers a complete schedule of upcoming events, using OpenACC for a biophysics problem, HPC Summit Digital, overview of the SDSC GPU Hackathon, OmpSs-2 programming model, new resources and more!
OpenACC and Open Hackathons Monthly Highlights: July 2022.pptxOpenACC
Stay up-to-date with the OpenACC and Open Hackathons Monthly Highlights. July’s edition covers the 2022 OpenACC and Hackathons Summit, NVIDIA’s Applied Research Accelerator Program, upcoming Open Hackathons and Bootcamps, recent research, new resources, and more!
Stay up-to-date with the OpenACC Monthly Highlights. February's edition covers the updated specification OpenACC 3.2, upcoming GPU Hackathons and Bootcamps, OpenACC's BOF at SC21 , recent research, new resources and more!
Video and slides synchronized, mp3 and slide download available at URL https://bit.ly/2JrUYLl.
Alison Lowndes talks about the HW & SW that comprise NVIDIA's GPU computing platform for AI, across PC to data center, cloud to edge, training to inference. She details current state-of-the-art research & recent internal work combining robotics with virtual reality & reinforcement learning in an end-to-end simulator for training and testing robots. Filmed at qconlondon.com.
Alison Lowndes is responsible for NVIDIA's Artificial Intelligence Developer Relations in the EMEA region. She consults on a wide range of AI applications, including planetary defence with NASA & the SETI Institute and continues to manage the community of AI & Machine Learning researchers around the world.
Stay up-to-date on the latest news, events and resources for the OpenACC community. This month’s highlights covers the upcoming OpenACC Summit, a complete schedule of upcoming events, using OpenACC to optimize structural analysis, new resources and more!
TAU for Accelerating AI Applications at OpenPOWER Summit Europe OpenPOWERorg
Sameer Shende, director, Performance Research Laboratory, University of Oregon, presents TAU for Accelerating AI Applications at OpenPOWER Summit Europe 2018.
Check out our coverage of the final day of OpenPOWER Summit Europe, where our members from around the world discussed how participating in an open ecosystem has driven their success.
At Day 1 of OpenPOWER Summit at NVIDIA GTC, we were blown away by the buzz around GPUs. Take a look at our recap from the latest from GTC and OpenPOWER members.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
2. During Day 2 at
ISC 2016, we
learned about
the importance
of HPC for all
types of
organizations.
3. $673 in revenue per dollar of
HPC investment
per dollar of HPC investment
$44
$3.9M
of profits/cost savings
per new innovation
of HPC investment
HPC offers massive ROI potential:
4. And the
importance of the
HPC community
and all its
members in
addressing global
problems.
5. This community is charged more
than any other for responsibly
charting our future course and the
preservation of the planet. Women
are in it for the long haul - we play an
extremely important role in this.
CarolynCokeReedDevany
President
DataVortexTechnologies
7. There is currently a discrepancy between the
requests of compute cycles by scientists, with
the computing resources available.
It adds up to core hours of
lost science.
By bolstering existing nodes with GPU
acceleration, we can alleviate this.
200B
Dr.PeterMessmer
SeniorDeveloper Technology Engineer
NVIDIA
8. Traditionally the HPC community dealt
mostly with weather and climate, but with
environmental computing we must think
about exposure and vulnerability of the
population with extreme events, which
introduces the complexity of disparate
data at different scales and the noisy data
of human behavior. It's a different type of
computing problem that requires
heterogeneous and specialized
architectures.
WilcoHazeleger
Netherlands eScienceCenter
9. It's about efficiency - it's nice to
have a supercomputer, but at
humanoid robot scale it's not
possible. There's a need for
specialized hardware.
Dr.TamimAsfour
KIT
11. We’re building systems for the
cognitive era. Systems that
perform traditional simulation
and augment human intelligence.
We have the HPC systems that
can make both possible.
BrettNewman
HPCGroup
IBM
12. Minsky came together through
the combined efforts of IBM,
NVIDIA, Mellanox and Wistron.
Eliminating the PCIe bottleneck
with NVLink will allow GPUs to
reach new levels of application
performance.
SteveFields
ChiefEngineer PowerSystems
IBM
This makes it the world’s best
system for HPC and clustered
analytics.
13. We're excited to start showcasing
OpenPOWER. Our biggest interest is a gateway
into a GPU platform with NVIDIA using P100
and NVLink, which gives us the ability to handle
larger workload sizes. Not having that interface
in our x86 machines was a bottleneck for our
customers.
William Wu
SeniorProductManager
Penguin Computing
14. We see a major
opportunity working with
OpenPOWER for the next
generation of high output
nodes, especially in HPC.
Working with IBM allows
us to enable other
OpenPOWER members in
adopting Asetek liquid
cooling in the data center
and for HPC.
LarryVertal
Asetek
15. And with the
right tools in
place, it’s only a
matter of time
before we reach
a brand new
frontier of
computing.
16. Everyone is talking about deep
learning. It’s a reinvention of
existing algorithms and
approaches driven by the
availability of Big Data and
accelerators.
CarloNardone
SeniorSolution Architect,EMEA
NVIDIA
17. As ISC 2016 continues on,
more and more OpenPOWER
discussions are fostering
more and more innovations
in HPC.
Be sure to follow us on
Twitter @OpenPOWERorg
and tune in tomorrow for our
continuing coverage of ISC
2016