There is a newer version of the record available.

Published February 7, 2023 | Version artifact-v1.1
Software Open

uwsampl/sparsetir-artifact: v1.1

Authors/Creators

  • 1. University of Washington
  • 2. Carnegie Mellon University

Description

Artifact of ASPLOS 2023 paper SparseTIR: Composable Abstractions for Sparse Compilation for Deep Learning.

See our github repo for instructions on how to install and run the artifact.

Files

Files (55.2 MB)

Name Size Download all
md5:e462150473f5fe6cbf391dddf975e805
55.2 MB Download

Additional details

Related works

Is supplement to
https://github.com/uwsampl/sparsetir-artifact/tree/artifact-v1.1 (URL)