arXiv (OAI Expanded)
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PEAT: Pseudo-Error Assessment for GPU Kernel Validation in DNN Training
and-cluster-computingand-sciencecomputational-engineeringdistributedfinanceparallelsoftware-engineering
Deep neural networks (DNNs) are widely adopted in various fields, driving an emerging trend in developing software stacks associated with DNN training systems. For example, many codes have been ported across different frameworks or developed to leverage the computing power of GPUs or domain-specific
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