GPU Forecasters: Language Models as Selective Surrogates for Kernel Runtime Optimization
AK(@_akhaliq)64 字 (约 1 分钟)
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This article explores a new approach to GPU kernel runtime optimization using language models as selective surrogates, achieving significant performance improvements by predicting and selecting optimal kernel configurations.
入选理由:语言模型被用作选择性代理,预测 GPU 内核的最佳配置。
FeaturedTweet#GPU#Language Models#Kernel Optimization#Runtime Performance#AI Acceleration英文
