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Codeplay Open Sources a Version of DPC++ for Nvidia GPUs
Writing software to run efficiently on today’s heterogeneous compute architectures is an ongoing challenge made increasingly difficult by the growing number of processor and accelerator choices …
Blasts from the (Recent) Past and Hopes for the Future
What does 2020 look like to you? What did 2019 look like? Lots happened but the main trends were carryovers from 2018 – AI messaging again blanketed everything; the roll-out of new big machines …
ARPA-E Applies ML to Power Generation Designs
December 19, 2019
The U.S. Energy Department’s research arm is leveraging machine learning technologies to simplify the design process for energy systems ranging from photovolt Read more…
MLPerf Expands Toolset; Launches Inferencing Suite
June 24, 2019
MLPerf today launched a benchmark suite for inferencing, v0.5, which joins the MLPerf training suite launched a little over a year ago. The new inferencing benc Read more…
Jack Wells Joins OpenACC; Arm Support Coming
June 17, 2019
Perhaps the most significant ISC19 news for OpenACC wasn’t in its official press release yesterday which touted growing user traction and the notable addition Read more…
Qualcomm Invests in RISC-V Startup SiFive
June 7, 2019
Investors are zeroing in on the open standard RISC-V instruction set architecture and the processor intellectual property being developed by a batch of high-flying chip startups. Last fall, Esperanto Technologies announced a $58 million funding round. Read more…
Digging into MLPerf Benchmark Suite to Inform AI Infrastructure Decisions
April 9, 2019
With machine learning and deep learning storming into the datacenter, the new challenge is optimizing infrastructure choices to support diverse ML and DL workfl Read more…
DARPA, NSF Seek Real-Time ML Processor
March 18, 2019
A new U.S. research initiative seeks to develop a processor capable of real-time learning while operating with the “efficiency of the human brain.” The National Science Foundation (NSF) and the Defense Advanced Research Projects Agency jointly announced a “Real Time Machine Learning” project on March 15 soliciting industry proposals for “foundational breakthroughs” in hardware required to “build systems that respond and adapt in real time.” Read more…
HPC in Life Sciences Part 2: Penetrating AI’s Hype and the Cloud’s Haze
February 25, 2019
Weary of the constant din of AI hype. So is Ari Berman, vice president and general manager of consulting services for BioTeam, a research computing consultancy specializing in life sciences. “Every vendor is selling AI. I think it has become the gluten-free tag of life sciences because it is everywhere.... Read more…
Democratizing HPC: OSC Releases Version 1.3 of OnDemand
May 16, 2018
Making HPC resources readily available and easier to use for scientists who may have less HPC expertise is an ongoing challenge. Open OnDemand is a project by t Read more…
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Whitepaper
Manufacturing Speed and Agility Enabled by Turnkey HPC Solutions
Manufacturers face growing competition as new players enter the global market all the time. To stay ahead of rivals, manufacturers increasingly rely on digital modeling and simulation tools for product design, analysis and testing with the help of HPC and CAE. So how is HPC enabling innovation for manufacturers from small to large?
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Webinar
The Convergence of HPC and AI
In this webinar, Martijn de Vries, CTO at Bright Computing and Robert Stober, Director of Product Management at Bright Computing, discuss the convergence of HPC and AI in the context of current industry trends and practices being used by organizations. They will discuss and demonstrate the convergence of HPC and AI on a shared infrastructure using Bright auto-scaler to enable efficient use of compute resources based on workload demand and policies, and also cover how to extend HPC/A.I. infrastructure to edge locations. Don’t miss out on this opportunity to gain valuable insight into innovative ways HPC and AI are being used together today.
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Popular AI Use Cases
In this SpotlightON we take a look at the fast-expanding world of AI use cases. In some sense it’s harder to identify what won’t be a potential use case for AI. Today, finance, internet commerce, healthcare, energy discovery and management, and IoT applications are all hot beds of AI development and deployment. Many more will follow. Learn how your work day and business may benefit from these experiences.
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