Check the preview of 2nd version of this platform being developed by the open MLCommons taskforce on automation and reproducibility as a free, open-source and technology-agnostic on-prem platform.

Optimizing Deep Learning Workloads on ARM GPU with TVM

lib:cf6bec35943caabd (v1.1.1)

Share
Authors: Lianmin Zheng, Tianqi Chen
Where published: ReQuEST-ASPLOS'18
Document:  DOI 
Artifact evaluated - functional: ✔
Artifact evaluated - reusable: ✔
Results replicated: ✔
Artifact in the open CK format: Link to the development version
Artifact DOI: Link
Artifact development version: GitHUB
Unified artifact appendix and reproducibility checklist: Link
Portable workflows:
Reproduced results: https://github.com/ctuning/ck-request-asplos18-results-mobilenets-tvm-arm
Standard reproducibility and reusability badges:
  • Artifact functional
  • Artifact reusable
  • Results replicated
  • Portable workflow framework used
Methodology to reproduce results: Link
Results dashboard: Link

Relevant initiatives  

Related knowledge about this paper Reproduced results (crowd-benchmarking and competitions) Artifact and reproducibility checklists Common formats for research projects and shared artifacts Reproducibility initiatives

Comments  

Please log in to add your comments!
If you notice any inapropriate content that should not be here, please report us as soon as possible and we will try to remove it within 48 hours!