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.

Lift: A Functional Data-Parallel IR for High-Performance GPU Code Generation

lib:b76b32fcba47e7a9 (v1.1.1)

Vote to reproduce this paper and share portable workflows   1 

Authors: Michel Steuwer, Toomas Remmelg and Christophe Dubach
Where published: CGO'17
Document:  PDF  DOI 
Artifact in the open CK format: Link to the development version
Artifact development version: GitHub
Unified artifact appendix and reproducibility checklist: Link
Some results reproduced:
Reproduced results:
Standard reproducibility and reusability badges:
  • Portable workflow framework used
Methodology to reproduce results: 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


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!