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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Bibliographic Details

Published in:	2021 30th International Conference on Parallel Architectures and Compilation Techniques (PACT) pp. 1 - 16
Main Authors:	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.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.09.2021
Subjects:	autotuning compiler Internet Layout Machine learning Production Search problems Tensors Training
Online Access:	Get full text
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