NSDI ’19 - JANUS: Fast and Flexible Deep Learning via Symbolic Graph Execution of Imperative
Eunji Jeong, Sungwoo Cho, Gyeong-In Yu, Joo Seong Jeong, Dong-Jin Shin, and Byung-Gon Chun, Seoul National University
The rapid evolution of deep neural networks is demanding deep learning (DL) frameworks not only to satisfy the requirement of quickly executing large computations, but also to support straightforward programming models for quickly implementing and experimenting with complex network structures. However, existing frameworks fail to excel in both departments simultaneously, leading to diverged
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NSDI ’19 - JANUS: Fast and Flexible Deep Learning via Symbolic Graph Execution of Imperative