Published October 3, 2023 | Version v1
Software Open

Optimizing Deep Learning Inference via Global Analysis and Tensor Expressions

  • 1. State Key Lab of Processors, Institute of Computing Technology, Chinese Academy of Sciences, China; School of Computer Science and Technology, University of Chinese Academy of Sciences; University of Leeds
  • 2. Institute of Computing Technology, Chinese Academy of Sciences; School of Computer Science and Technology, University of Chinese Academy of Sciences
  • 3. State Key Lab of Processors, Institute of Computing Technology, CAS;School of Computer Science and Technology, University of Chinese Academy of Sciences
  • 4. University of Leeds
  • 5. University of Aberdeen
  • 6. Thewake Systems Ltd
  • 7. Institute of Computing Technology Chinese Academy of Sciences;Zhongguancun Laboratory
  • 8. Institute of Computing Technology, Chinese Academy of Science

Description

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.

Files

souffle-ae.zip

Files (63.2 MB)

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