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Racer: Hunting GPU Kernel Bugs with Symbolic Equivalence Checking

Tuan Truong Vu et al.
arXiv CS · Papers
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artificial-intelligenceknowledge-representationreasoning
GPU kernels are critical to the performance of today's AI services, yet the same operators are rewritten repeatedly: for each GPU generation, numeric format, serving regime, and kernel language. Every rewrite must preserve the function computed by the implementation it replaces. Today, this obligati
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