12 citations · 19 across the 5 of their papers we have counts for
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cs.DC2019
Just-in-Time Dynamic-Batching
Sheng Zha, Ziheng Jiang, Haibin Lin +1
Batching is an essential technique to improve computation efficiency in deep learning frameworks. While batch processing for models with static feed-forward computation graphs is s…
cs.LG2019
Relay: A High-Level Compiler for Deep Learning
Jared Roesch, Steven Lyubomirsky, Marisa Kirisame +7
Frameworks for writing, compiling, and optimizing deep learning (DL) models have recently enabled progress in areas like computer vision and natural language processing. Extending…