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Software . 2023
License: CC BY
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Software . 2023
License: CC BY
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ZENODO
Software . 2023
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Optimizing Deep Learning Inference via Global Analysis and Tensor Expressions

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 03 Oct 2023Publisher:Zenodo
Authors: Xia, Chunwei; Zhao, Jiacheng; Sun, Qianqi; Wang, Zheng; Wen, Yuan; Yu, Teng; Feng, Xiaobing; +1 Authors

doi: 10.5281/zenodo.8404599 , 10.5281/zenodo.8404598

Optimizing Deep Learning Inference via Global Analysis and Tensor Expressions

Abstract

The artifact contains the necessary software components to validate the main results in this paper. We provide a git repository which contains the Docker-files to build the experimental environments, the source code of SOUFFLE, and scripts to reproduce the main results. For Paper "Optimizing Deep Learning Inference via Global Analysis and Tensor Expressions" of ASPLOS 2024 spring Cycle.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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