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Pages: 318, Paperback, Independently published
Independently Published
CUDA and GPU Parallel Computing Engineering: Accelerating Scientific High-Performance Workloads Through Kernels,...
AI Acceleration & GPU Systems Programming: Harness CUDA, ROCm, and Tensor Cores...
Packt Publishing
Hands On GPU Programming with Python and CUDA: Explore high performance parallel computing CUDA
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