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What is this book about? Hands-On GPU Programming with Python and CUDA hits the ground running: you’ll start by learning how to apply Amdahl’s Law, use a code profiler to identify bottlenecks in your ...
NVIDIA's CUDA Toolkit 13.0 introduces innovative features like tile-based programming and unified Arm platform support, enhancing developer productivity and GPU performance. The latest iteration of ...
The University of Delaware has been named a GPU Education Center by NVIDIA, a computer technology company that has pioneered GPU-accelerated computing. GPU Education Centers are institutions ...
Meta has introduced KernelLLM, an 8-billion-parameter language model fine-tuned from Llama 3.1 Instruct, aimed at automating the translation of PyTorch modules into efficient Triton GPU kernels. This ...
GPU stands for graphics processing unit, but these tiny chips can be used for much more than just graphics. Google is using GPUs to model the human brain, and Salesforce leans on them as a way of ...
Nvidia has made improvements to its underlying software tools to make it easier to write programs for faster execution across CPUs and graphics processors. The company on Thursday announced CUDA 6, ...
Have you wanted to get into GPU programming with CUDA but found the usual textbooks and guides a bit too intense? Well, help is at hand in the form of a series of increasingly difficult programming ...
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