Conversation: ANL’s Rick Stevens on DoE’s AI for Science Project

With release of the Department of Energy’s AI for Science report in late February, the effort to build a national AI program, modeled loosely on the U.S. Exascale Initiative, enters a new phas

By John Russell

ORNL’s Raphael Pooser on DoE’s Quantum Testbed Project

Quantum computing and quantum information science generally are areas of aggressive research at the Department of Energy. Their promise, of course, is tantalizing – vast computational scale and

By John Russell

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

By George Leopold

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

By John Russell

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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…

By Aaron Dubrow

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…

By John Russell

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…

By John Russell

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…

By John Russell

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…

By George Leopold

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…

By John Russell

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…

By Oliver Peckham

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…

By John Russell

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