httpv://www.youtube.com/watch?v=ZwddyocKTWw
In this video, Michael Garland discusses algorithmic design on GPUs with some emphasis on sparse matrix computation. Recorded at the 2010 Virtual Summer School of Computation Science and Engineering at NCSA. Parts 2-6 of this video are available on the HPC University YouTube Channel.
[SPONSORED GUEST ARTICLE] How exascale systems have been stood up has been recounted in detail, as has the dramatic moment when Frontier achieved exascale status. Now the focus has shifted to the work research organizations are doing with exascale, how it’s actually changing the world ….
Breakthrough Data Center Universal Accelerator for Efficient Video, AI, and Graphics The NVIDIA Ada Lovelace architecture L4 Tensor Core GPU is NVIDIA’s most compact data center accelerator for use in mainstream PCIe-based servers and is an ideal means of adding GPU acceleration to CPU-based systems. Delivering universal acceleration and energy efficiency for video, AI, virtual […]
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