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We built a CUDA emulator that profiles GPU code with zero hardware
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- rightnow_ai 1y agoQuick context on what this actually does This is not static analysis. It runs your CUDA kernel in a CPU-backed simulator and predicts how it behaves on real GPUs Basicly it uses a tile model tied to L2 size and SM limits Right now it covers 80+ NVIDIA architectures and the Mean error on exec time is around 1–2% on our test kernals that we made 'more info in the blog' It still struggles with dynamic parallelism but I will figure it out soon