English(EN) Racer: Hunting GPU Kernel Bugs with Symbolic Equivalence Checking

新工具 Racer 通过符号等价性检查查找 GPU 内核错误

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-21 04:00

研究人员开发了 Racer，一个使用符号等价性检查来查找 GPU 内核错误的新工具。与传统的差分测试不同，Racer 使用符号输入分析内核，生成精确的代数表达式，区分浮点错误和逻辑错误。该方法覆盖了整个输入空间，并已在 23 个库中识别出 82 个真实错误，包括 76 个先前未知的错误。 AI

影响这项研究通过提高底层 GPU 内核软件的质量，可能带来更可靠的 AI 服务。

排序理由该集群包含一篇学术论文，详细介绍了一种发现 GPU 内核错误的新方法和工具。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.AI TIER_1 English(EN) · Tuan Truong Vu, Cheng Tan · 2026-10-21 04:00

Racer：使用符号等价性检查来查找 GPU 内核错误

arXiv:2610.28429v1 Announce Type: cross Abstract: 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 fun…