
Wanted: A Complete – And Heavily Customizable – HPC Software Stack
Sponsored Feature. There are a lot of things that the HPC centers and hyperscalers of the world have in common, and one of them is their attitudes about software. …
Sponsored Feature. There are a lot of things that the HPC centers and hyperscalers of the world have in common, and one of them is their attitudes about software. …
This week is the eighth annual International Workshop on OpenCL, SYCL, Vulkan, and SPIR-V, and the event is available online for the very first time in its history thanks to the coronavirus pandemic. …
The one thing that AMD’s return to the CPU market and its more aggressive moves in the GPU compute arena have done, as well as Intel’s plan to create a line of discrete Xe GPUs that can be used as companions to its Xeon processors, has done is push Nvidia and Arm closer together. …
Support for unified memory across CPUs and GPUs in accelerated computing systems is the final piece of a programming puzzle that we have been assembling for about ten years now. …
The more things change, the more they remain the same — as do the two most critical issues for successful software execution. …
There are few people as visible in high performance computing programming circles as Michael Wolfe—and fewer still with level of experience. …
In a properly working capitalist economy, innovative companies make big bets, help create new markets, vanquish competition or at least hold it at bay, and profit from all of the hard work, cleverness, luck, and deal making that comes with supplying a good or service to demanding customers. …
In high performance computing, machine learning, and a growing set of other application areas, accelerated, heterogeneous systems are becoming the norm. …
Having the best compute engine – meaning the highest performance at a sustainable price/performance – is not enough to guarantee that it will be adopted in HPC, hyperscale, or enterprise settings. …
For more than a decade, graphics processor maker Nvidia has been championing the adoption of GPU accelerators as heavy-lifting compute engines for an increasing array of applications that can take advantage of the parallel processing inherent in a GPU. …
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