Published June 30, 2023 | Version v2
Dataset Open

ICPP23 Scalable Incremental Checkpointing using GPU-Accelerated De-Duplication Input Graphs

Authors/Creators

  • 1. University of Tennessee Knoxville
  • 2. Argonne National Laboratory
  • 3. University of North Texas

Description

Input graphs and checkpoints used for generating results in the ICPP 23 paper "Scalable Incremental Checkpointing using GPU-Accelerated De-Duplication". 

Files

Files (8.1 GB)

Name Size
md5:ff691c2ce79fff4d8d80093be825ef46
7.7 GB Download
md5:aaaf44ed664cdf926da17e8c9ba3259f
466.2 MB Download

Additional details

Funding

U.S. National Science Foundation
SHF: Medium: Collaborative Research: ANACIN-X: Analysis and modeling of Nondeterminism and Associated Costs in eXtreme scale applications 1900888
U.S. National Science Foundation
SHF: Medium: Collaborative Research: ANACIN-X: Analysis and modeling of Nondeterminism and Associated Costs in eXtreme scale applications 1900765