Winograd is generally utilized to optimize convolution performance and computational
efficiency because of the reduced multiplication operations, but the reliability issues brought …

Exascale computing must simultaneously address both energy efficiency and resilience as
power limits impact scalability and faults are more common. Unfortunately, energy efficiency …

Power stress mark is crucial for estimating Thermal Design Power (TDP) of GPGPUs to
ensure efficient power control. This paper proposes Guser, the first systematic methodology …

Large Language Models (LLMs) have demonstrated remarkable performance in various
natural language processing tasks. However, the training of these models is computationally …