A Flexible Approach to Autotuning Multi-Pass Machine Learning Compilers

Search-based techniques have been demonstrated effective in solving complex optimization problems that arise in domain-specific compilers for machine learning (ML). Unfortunately, deploying such techniques in production compilers is impeded by two limitations. First, prior works require factorizatio...

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Vydané v:	2021 30th International Conference on Parallel Architectures and Compilation Techniques (PACT) s. 1 - 16
Hlavní autori:	Phothilimthana, Phitchaya Mangpo, Sabne, Amit, Sarda, Nikhil, Murthy, Karthik Srinivasa, Zhou, Yanqi, Angermueller, Christof, Burrows, Mike, Roy, Sudip, Mandke, Ketan, Farahani, Rezsa, Wang, Yu Emma, Ilbeyi, Berkin, Hechtman, Blake, Roune, Bjarke, Wang, Shen, Xu, Yuanzhong, Kaufman, Samuel J.
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.09.2021
Predmet:	autotuning compiler Internet Layout Machine learning Production Search problems Tensors Training
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