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ExaFLOPS; You Keep Using That Word
October 12, 2023
A recent article on Tom's Hardware began with the headline "China Wants 300 ExaFLOPS of Compute Power by 2025." Intrigued, further reading finds the following l Read more…
Nvidia Adds Faster HBM3e Memory to the GH200 Grace Hopper Platform
August 9, 2023
Nvidia Grace-Hopper offers a tightly integrated CPU + GPU solution for what is becoming a generative AI dominated market. To increase performance, the graphics Read more…
What’s New in HPC Research: September (Part 1)
September 18, 2018
In this new bimonthly feature, HPCwire will highlight newly published research in the high-performance computing community and related domains. From exascale Read more…
Evolving Exascale Applications Via Graphs
April 29, 2014
There is little point to building expensive exaflop-class computing machines if applications are not available to exploit the tremendous scale and parallelism. Read more…
Experts Discuss the Future of Supercomputers
January 29, 2013
Noted HPC pioneers weigh in on the coming class of exascale systems. Read more…
Petaflop In a Box
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…
Preoccupied with Exascale
March 31, 2011
Is the HPC community too focused on the 10-year milestone? Read more…
Compilers and More: Expose, Express, Exploit
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…
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