"CompilerGym: Robust, Performant Compiler Optimization Environments for AI ..."

Chris Cummins et al. (2022)

> Home

Details and statistics

DOI: 10.1109/CGO53902.2022.9741258

access: closed

type: Conference or Workshop Paper

metadata version: 2025-01-19

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/cgo/CumminsWGCAGJLT22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/cgo/CumminsWGCAGJLT22
Chris Cummins, Bram Wasti, Jiadong Guo, Brandon Cui, Jason Ansel, Sahir Gomez, Somya Jain, Jia Liu, Olivier Teytaud, Benoit Steiner, Yuandong Tian, Hugh Leather:
CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research. CGO 2022: 92-105

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.