June 6, 2012
As we move down the road toward exascale computing and engage in discussion of zettascale, one issue becomes increasingly obvious: we are leaving a large part of the HPC community behind. But it needn't be so. If we developed compact, power efficient petascale computers, not only could we help broaden the base of high-end users, but we could also provide a foundation for future bleeding-edge supercomputers. Read more…
March 28, 2011
In Michael Wolfe's second column on programming for exascale systems, he underscores the importance of exposing parallelism at all levels of design, either explicitly in the program, or implicitly within the compiler. Wolfe calls on developers to express this parallelism, in a language and in the generated code, and to exploit the parallelism, efficiently and effectively, at runtime on the target machine. He reminds the community that the only reason to pursue parallelism is for higher performance. Read more…
March 8, 2011
There are at least two ways exascale computing can go, as exemplified by the top two systems on the latest TOP500 list: Tianhe-1A and Jaguar. The Chinese Tianhe-1A uses 14,000 Intel multicore processors with 7,000 NVIDIA Fermi GPUs as compute accelerators, whereas the American Jaguar Cray XT-5 uses 35,000 AMD 6-core processors. 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…
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.
From scale-out clusters on commodity hardware, to flash-based storage with data temperature tiering, cloud-based object storage, and even tape, there are a myriad of considerations when architecting the right enterprise storage solution. In this round-table webinar, we examine case studies covering a variety of storage requirements available today. We’ll discuss when and where to use various storage media in accordance with use cases, and we’ll look at security challenges and emerging storage technology coming online.
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