June 20, 2016

Hewlett Packard Enterprise (HPE), now about eight months into its transition as a separate entity, retained the prestige of fielding the most systems of any ven Read more…

June 20, 2016

To celebrate ISC 2016, we’ve brought back our ISC-themed Twitter Roundup. For those unable to attend the event in beautiful Frankfurt, Germany, we hope this Read more…

June 20, 2016

Greg Diamos, senior researcher, Silicon Valley AI Lab, Baidu, is on the front lines of the reinvigorated frontier of machine learning. Before joining Baidu, Diamos was in the employ of NVIDIA, first as a research scientist and then an architect (for the GPU streaming multiprocessor and the CUDA software). Given this background, it's natural that Diamos' research is focused on advancing breakthroughs in GPU-based deep learning. Ahead of a paper he is presenting at the 33rd International Conference on Machine Learning, Diamos answered questions about his research and his vision for the future of machine learning. Read more…

June 19, 2016

You may have heard the rumors, but now it's official: China has built and deployed a 93 petaflops LINPACK (125 petaflops peak) Chinese-made supercomputer at it Read more…

June 19, 2016

NVIDIA seems to be mounting a vigorous effort to dethrone the CPU as the leader of the processor pack for HPC and demanding datacenter workloads. That’s a tal Read more…

June 18, 2016

As we get ready to launch the newest member of the Intel Xeon Phi family, code named Knights Landing, it is natural that there be some questions and potentially Read more…

June 18, 2016

One of the primary conversations these days in the field of networking is whether it is better to onload network functions onto the CPU or better to offload the Read more…

June 16, 2016

Jack Dongarra, one of today’s most distinguished HPC leaders, is adding two awards to his long list. The Association for Computer Machinery (ACM) recently honored Dongarra with the High Performance Parallel and Distributed Computing Achievement Award at the annual High Performance and Distributed Computing Conference in Kyoto, Japan, while the Institute of Electrical and Electronics Engineers (IEEE) will bestow him with the Super Computing (SC) 2016 Test of Time Award at its conference in November. Read more…

June 16, 2016

SC15 was sort of a muted launch party for OpenHPC – the nascent effort to develop a ‘plug-and-play’ software framework for HPC. There seemed to be widespread agreement the idea had merit, not a lot of knowledge of details, and some wariness because Intel was a founding member and vocal advocate. Next week, ISC16 will mark the next milestone for OpenHPC, which has since grown into a full-fledged Linux Foundation Collaborative Project and today released version 1.0.1 of OpenHPC (build and test tools). Read more…

June 14, 2016

Ahead of ISC 2016, taking place in Frankfurt, Germany, next week, HPCwire reached out to Paul Messina to get an update on the deliverables and timeline for the United States' Exascale Computing Project. The ten-year project has been charged with standing up at least two capable exascale supercomputers in 2023 as part of the larger National Strategic Computing Initiative launched by the Obama Administration in July 2015. Read more…

June 13, 2016

In a show of strength leading up to ISC the OpenACC standards group today announced its first OpenPOWER implementation, the addition of three new members – University of Illinois, Brookhaven National Laboratory, and Stony Brook University – and details of its expanding 2016 training schedule. Michael Wolfe, technical director of OpenACC, also talked with HPCwire about thorny compiler challenges still remaining as... Read more…

March 14, 2016

At the 2016 ISC High Performance conference this June, distinguished Sandia computational combustion scientist Jacqueline H. Chen will deliver a keynote highlighting the latest advances in combustion modeling and simulation. In this interesting and informative Q&A, Chen describes the challenges and opportunities involved in preparing combustion codes for exascale machines. Read more…