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…
June 24, 2015
Sandia National Laboratories has named Jill Hruby to its highest post. When Hruby officially take the reins of the nation's largest laboratory on July 17, she b Read more…
May 12, 2011
The Weekly Top Five features the five biggest HPC stories of the week, condensed for your reading pleasure. This week, we cover the Cray/Sandia partership to found a knowledge institute; RenderStream's FireStream-based workstations and servers; NVIDIA's latest CUDA centers; Reservoir Labs and Intel's extreme scale ambitions; and Jülich Supercomputing Centre's new hybrid cluster. Read more…
April 28, 2011
The Weekly Top Five features the five biggest HPC stories of the week, condensed for your reading pleasure. This week, we cover the TeraGrid effort to support the Japanese research community; NNSA's 'Supercomputing Week' coverage; Mellanox's new double-duty switch silicon; Platform's latest Symphony; and the Oracle Sun Server-based Sandia Red Sky/Red Mesa supercomputer upgrades. Read more…
Whether an organization chooses a cloud for general business needs or a highly tailored workload, the spectrum of offerings and configurations can be overwhelming. To help you navigate the various cloud options available today, we're breaking down your options, exploring pros and cons, and sharing ways to keep your options open and your business agile as you execute your cloud strategy.
Researchers in academic labs and commercial R&D groups continue to need more compute capacity, which means leveraging the latest innovations in HPC technologies as well as an assortment of resources to meet the unique needs of different workloads. Increasingly, systems based on Arm processors are stepping into that role, offering low power consumption and strategic advantages for HPC workloads.
Whether it's for fraud detection, personalized medicine, manufacturing, smart cities, autonomous vehicles and many other areas, advanced-scale computing has exploded beyond the realm of academia and government and into the private sector. And with data-intensive workloads on the rise, commercial users are turning to HPC-based infrastructure to run the AI, ML and cognitive computing applications that their organizations depend on.
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