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…
August 10, 2010
The US Defense Advanced Research Projects Agency has selected four "performers" to develop prototype systems for its Ubiquitous High Performance Computing (UHPC) program. According to a press release issued on August 6, the organizations include Intel, NVIDIA, MIT, and Sandia National Lab. Georgia Tech was also tapped to head up an evaluation team for the systems under development. Read more…
June 24, 2010
Agency announces Omnipresent High Performance Computing program. Read more…
June 2, 2010
Even as we gain a footing in the era of petaflops computing, we have set in motion the exploration of the undiscovered domain of exaflops computing. This year has seen the launching of multiple programs to develop the concepts, architectures, software stack, programming models, and new families of parallel algorithms necessary to enable the practical realization of exaflops capability prior to the end of this decade. 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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