August 6, 2015
“In order to maximize the benefits of HPC for economic competitiveness and scientific discovery, the United States Government must create a coordinated Federa Read more…
April 15, 2013
Ahead of his opening conference keynote at ISC'13, Bill Dally, chief scientist at NVIDIA and senior vice president of NVIDIA Research, shares his views on where HPC is headed. Among the key topics covered are the demand for heterogenous computing, overcoming the memory wall, the implications of government belt-tightening, and much more... Read more…
January 16, 2013
The national labs at Oak Ridge, Argonne and Lawrence Livermore are banding together for their next refresh of supercomputers. In late 2016 or early 2017, all three Department of Energy (DOE) centers are looking to deploy their first 100-plus petaflop systems, which will serve as precursors to their exascale machine further down the line. The labs will issue a request for proposal (RFP) later this year with the goal of awarding the work to two prime subcontractors. Read more…
January 8, 2013
The National Energy Research Scientific Computing Center (NERSC) at Berkeley Lab has recently begun installing Edison, the Cray supercomputer that will exceed two peak petaflops when its fully deployed in a couple of months. But the center is already prepping for its next-generation system, which is expected to be an order of magnitude more powerful. That supercomputer may be the center's last big deployment prior to the exascale era. 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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