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Intel Stopping Nervana Development to Focus on Habana AI Chips
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 processor line. Instead, Intel will focus …
MLPerf Ascends as DAWNBench is Phased Out
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 …
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…
Blasts from the (Recent) Past and Hopes for the Future
December 23, 2019
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 and exascale announcements continued; processor diversity and system disaggregation kicked up a notch; hyperscalers continued flexing their muscles (think AWS and its Graviton2 processor); and the U.S. and China continued their awkward trade war. Read more…
CloudyCluster Helps Students Build Bright Futures in HPC
December 20, 2019
Looking for a future in HPC, some students literally taught themselves Python in a day while competing in the Cloud HPC Hackathon (also known as the Omnibond C Read more…
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…
Jensen Huang’s SC19 – Fast Cars, a Strong Arm, and Aiming for the Cloud(s)
November 20, 2019
We’ve come to expect Nvidia CEO Jensen Huang’s annual SC keynote to contain stunning graphics and lively bravado (with plenty of examples) in support of GPU Read more…
IBM Adds Support for Ion Trap Quantum Technology to Qiskit
November 11, 2019
After years of percolating in the shadow of quantum computing research based on superconducting semiconductors – think IBM, Rigetti, Google, and D-Wave (quant 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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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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