Researchers introduced cuFuzz, a CUDA-oriented fuzzer designed to address key challenges in GPU fuzzing such as false positives and coverage limitations. This tool uncovers previously unknown bugs across various CUDA programs, enhancing the reliability of GPU software by making large-scale bug detection practical for content creators working with GPUs.
Read the full article at arXiv cs.CR (Cryptography & Security)
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