DOPpler: Parallel Measurement Infrastructure for Auto-tuning Deep Learning Tensor Programs
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Parallel and Distributed Systems"
DOI: 10.1109/tpds.2023.3279233
Abstract: The heterogeneity of Deep Learning models, libraries, and hardware poses an important challenge for improving model inference performance. Auto-tuners address this challenge via automatic tensor program optimization towards a target-device. However, auto-tuners incur a substantial… read more here.
Keywords: auto; tensor programs; infrastructure; measurement ... See more keywords