Preprint
Sep 2026
PEAT: Pseudo-Error Assessment for GPU Kernel Validation in DNN Training
The applicability of PEAT is demonstrated by presenting the results and analysis using GPUs from the two most popular vendors, NVIDIA V100 and AMD MI250, on various AI models, from vision tasks to language models, for both pretraining and finetuning scenarios.
Xuan Truong Nguyen Department of Next Generation Semico Convergence, Open Sharing System, Seoul National University et al.
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