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CPU parallelism lessons that carry over to GPU kernels: dependency chains, FP non-associativity, false sharing, memory-bound loops [P]

Session 2 of my free GPU kernel engineering series (my own channel, earlier post: [LINK TO FIRST POST]) covers CPU parallelism, with no GPU code. The idea is that most GPU performance ideas are CPU ideas turned up, so here are the parts I found most useful on their own. A single accumulator is a de…

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  1. 2026-11-03 09:53 · r/MachineLearning
    CPU parallelism lessons that carry over to GPU kernels: dependency chains, FP non-associativity, false sharing, memory-bound loops [P]

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