Today's Top Feature

For IBM/OpenPOWER: Success in 2017 = (Volume) Sales

To a large degree IBM and the OpenPOWER Foundation have done what they said they

By John Russell

Center Stage

UberCloud Cites Progress in HPC Cloud Computing

200 HPC cloud experiments, 80 case studies, and a ton of hands-on experience gained, that’s

By Wolfgang Gentzsch and Burak Yenier

  • Off The Wire

  • Industry Headlines

A Conversation with Women in HPC Director Toni Collis

In this SC16 video interview, HPCwire Managing Editor Tiffany Trader sits down with Toni Collis,

By Tiffany Trader

BioTeam’s Berman Charts 2017 HPC Trends in Life Sciences

Twenty years ago high performance computing was nearly absent from life sciences. Today it’s used throughout life sciences and biomedical research. Genomics and the data deluge from modern lab instruments are the main drivers, but so is the longer-term desire to perform predictive simulation in support of Precision Medicine (PM). There’s even a specialized life sciences supercomputer, ‘Anton’ from D.E. Shaw Research, and the Pittsburgh Supercomputing Center is standing up its second Anton 2 and actively soliciting project proposals. There’s a lot going on.

By John Russell

HPCwire 2016 Readers’ and Editors’ Choice Awards

Who are the big winners for 2016? Come get a look at who is making a difference and showing why #HPCmatters.

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Fast Rewind: 2016 Was a Wild Ride for HPC

December 23, 2016

Some years quietly sneak by – 2016 not so much. It’s safe to say there are always forces reshaping the HPC landscape but this year’s bunch seemed like a noisy lot. Among the noisemakers: TaihuLight, DGX-1/Pascal, Dell EMC & HPE-SGI et al., KNL to market, OPA-IB chest thumping, Fujitsu-ARM, new U.S. President-elect, BREXIT, JR’s Intel Exit, Exascale (whatever that means now), NCSA@30, whither NSCI, Deep Learning mania, HPC identity crisis…You get the picture. Read more…

By John Russell

Google Develops Method for Testing ML Algorithms for Bias

December 20, 2016

Google researcher Moritz Hardt and colleagues have developed an approach for testing whether machine learning algorithms inject bias, such as gender or racial bias into their decisions. Read more…

By John Russell

Targeting HPC and AI, ARM Acquires Tools Vendor Allinea

December 16, 2016

Allinea Software, whose cross-platform development and performance analysis tools are used by 80 percent of the world’s top 25 supercomputers, has been acquired by ARM Ltd. Read more…

By Doug Black

KNUPATH Hermosa-based Commercial Boards Expected in Q1 2017

December 15, 2016

Last June tech start-up KnuEdge emerged from stealth mode to begin spreading the word about its new processor and fabric technology that’s been roughly a decade in the making. Read more…

By John Russell

US Exascale Computing Update with Paul Messina

December 8, 2016

Around the world, efforts are ramping up to cross the next major computing threshold with machines that are 50-100x more performant than today’s fastest number crunchers.  Read more…

By Tiffany Trader

Which Schools Produce the Top Coders in the World?

December 8, 2016

Ever wonder which universities worldwide produce the best coders? The answers may surprise you, at least as judged by the results of a competition posted yesterday on the HackerRank blog. Read more…

By John Russell

Enlisting Deep Learning in the War on Cancer

December 7, 2016

Sometime in Q2 2017 the first ‘results’ of the Joint Design of Advanced Computing Solutions for Cancer (JDACS4C) will become publicly available according to Rick Stevens. He leads one of three JDACS4C pilot projects pressing deep learning (DL) into service in the War on Cancer. Read more…

By John Russell

D-Wave SC16 Update: What’s Bo Ewald Saying These Days

November 18, 2016

Tucked in a back section of the SC16 exhibit hall, quantum computing pioneer D-Wave has been talking up its new 2000-qubit processor announced in September. Forget for a moment the criticism sometimes aimed at D-Wave. This small Canadian company has sold several machines including, for example, ones to Lockheed and NASA, and has worked with Google on mapping machine learning problems to quantum computing. In July Los Alamos National Laboratory took possession of a 1000-quibit D-Wave 2X system that LANL ordered a year ago around the time of SC15. Read more…

By John Russell

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