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Principles and Practice of Scalable Systems (PPoSS): NSF Looks to Scale HPC, Distributed Apps
A new National Science Foundation initiative aims to develop a framework for advancing the next generation of scalable systems and applications, including HPC platforms. The nearly $90 million pr …
Quantum Bits: Q-Ctrl, D-Wave Start News Flow on Eve of APS March Meeting
The annual trickle of quantum computing news during the lead-up to next week’s APS March Meeting 2020 has begun. Yesterday D-Wave introduced a significant upgrade to its quantum portal and tool …
TACC – Supporting Portable, Reproducible, Computational Science with Containers
February 20, 2020
Researchers who use supercomputers for science typically don't limit themselves to one system. They move their projects to whatever resources are available, oft Read more…
ECP Update: Satisfying DOE and Building SDKs for Heterogeneous Exascale Architecture
February 11, 2020
Delivering an exascale-ready software infrastructure is the Exascale Computing Project’s mission, a goal towards which it has steadily marched although ECP do Read more…
Codeplay Open Sources a Version of DPC++ for Nvidia GPUs
February 4, 2020
Writing software to run efficiently on today’s heterogeneous compute architectures is an ongoing challenge made increasingly difficult by the growing number o Read more…
Intel Stopping Nervana Development to Focus on Habana AI Chips
February 3, 2020
Just two months after acquiring Israeli AI chip start-up Habana Labs for $2 billion, Intel is stopping development of its existing Nervana neural network proces Read more…
MLPerf Ascends as DAWNBench is Phased Out
January 31, 2020
As the MLPerf benchmark emerges as an industry standard for measuring the performance of machine learning models, its creators said they will phase out the foundational DAWNBench metric. Stanford University researchers announced earlier this month they will end rolling submissions—that is, finished sections of a model... Read more…
Julia Programming’s Dramatic Rise in HPC and Elsewhere
January 14, 2020
Back in 2012 a paper by four computer scientists including Alan Edelman of MIT introduced Julia, A Fast Dynamic Language for Technical Computing. At the time, t Read more…
New Tool from MIT Uses Machine Learning to Predict Code Performance on a Chip
January 13, 2020
Typically, code’s performance on a given computer chip is estimated using performance models that test the code on a variety of architectures, after which com Read more…
Study Examines Efforts (and Prospects) for ML Use in Computer Architecture Design
January 9, 2020
The rush to adopt machine learning (ML) in broad applications hasn’t yet been matched by efforts to use ML to inform computer architecture design. That’s no Read more…
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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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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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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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