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Explore as a Storm, Exploit as a Raindrop: On the Benefit of Fine-Tuning Kernel Schedulers with Coordinate Descent
Explore as a Storm, Exploit as a Raindrop: On the Benefit of Fine-Tuning Kernel Schedulers with Coordinate Descent
Arxiv
0+阅读 · 7月15日
Explore as a Storm, Exploit as a Raindrop: On the Benefit of Fine-Tuning Kernel Schedulers with Coordinate Descent
Explore as a Storm, Exploit as a Raindrop: On the Benefit of Fine-Tuning Kernel Schedulers with Coordinate Descent
Arxiv
0+阅读 · 6月28日
Autotuning Apache TVM-based Scientific Applications Using Bayesian Optimization
Arxiv
0+阅读 · 2023年9月13日
Hidet: Task-Mapping Programming Paradigm for Deep Learning Tensor Programs
Arxiv
0+阅读 · 2023年2月15日
Hidet: Task Mapping Programming Paradigm for Deep Learning Tensor Programs
Arxiv
0+阅读 · 2022年10月18日
HW-Aware Initialization of DNN Auto-Tuning to Improve Exploration Time and Robustness
Arxiv
0+阅读 · 2022年5月31日
Bifrost: End-to-End Evaluation and Optimization of Reconfigurable DNN Accelerators
Arxiv
0+阅读 · 2022年4月26日
Bolt: Bridging the Gap between Auto-tuners and Hardware-native Performance
Arxiv
0+阅读 · 2021年10月25日
Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation
Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation
Arxiv
0+阅读 · 2020年1月23日
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