One CUDA Guide chapter beats 96% of people on GPU execution and memory management
blelbach · x · 2026-10-10
gpusteve recommends the Programming Model chapter of NVIDIA's CUDA Programming Guide as the single best resource for understanding GPU execution and memory management, claiming full comprehension puts you ahead of 96.31% of people.
The chapter covers thread blocks, warps, branch divergence, SIMT and tile programming, shared memory, block clusters, and data placement across CPUs and GPUs. It explains the execution and memory rules that constrain real performance decisions like partitioning matmuls and reductions during training or inference.
This is the 11th resource in waferai's AI performance engineering repo series, which is being posted one resource at a time.
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