“The GPU is a powerful, programmable platform that is perfect for computing applications such as seismic processing for oil and gas exploration, computing in bioscience, and financial modeling,” says Andy Keane, general manager of the GPU computing business at NVIDIA, a pioneer in using GPUs for HPC. “The GPU will change the way engineers and researchers approach these problems.”
contains over 40 chapters and nearly 1000 pages full of the latest GPU programming techniques, and includes hundreds of full-color diagrams and pictures. GPU Gems 3 won the Game Developer Magazine's 2007 Front Line Award. Aailable for free online on the NVIDIA Developer Site
With the increasing programmability of commodity graphics processing units (GPUs), these chips are capable of performing more than the specific graphics computations for which they were designed.
Kubernetes-GPU-Guide - This guide should help fellow researchers and hobbyists to easily automate and accelerate there deep leaning training with their own Kubernetes GPU cluster.
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