Skip to main content
U.S. Department of Energy
Office of Scientific and Technical Information

Checkpoint/Restart Vision and Strategies for NERSC’s Production Workloads

Technical Report ·
DOI:https://doi.org/10.2172/1814161· OSTI ID:1814161
 [1];  [1]
  1. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
As a primary approach to fault-tolerant computing, Checkpoint/Restart (C/R) improves scientific productivity for users, provides scheduling flexibility for computing centers, and protects against system failures. While both applicationspecific (or application-level) and transparent C/R are used in practice, we are interested in transparent checkpointing, which is vital for system-level checkpointing. Developing and maintaining transparent C/R tools for HPC applications, however, is labor intensive and highly complex due to ever-changing HPC systems and diverse production workloads. Existing C/R tools are often research-oriented, so there is a gap to close before they can be used reliably with production workloads, especially on cutting edge HPC systems. In this position paper, we present our journey to prepare a production-ready MPI-Agnostic Network-Agnostic (MANA) transparent checkpointing tool for NERSC, and share our vision and strategies to bring transparent C/R capabilities to NERSC’s production workloads on current and future systems.
Research Organization:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Basic Energy Sciences (BES). Scientific User Facilities Division
DOE Contract Number:
AC02-05CH11231
OSTI ID:
1814161
Country of Publication:
United States
Language:
English

Similar Records

Requirements for Linux Checkpoint/Restart
Technical Report · Mon Feb 25 23:00:00 EST 2002 · OSTI ID:793773

Affinity-aware checkpoint restart
Journal Article · Sun Dec 07 19:00:00 EST 2014 · ACM Digital Library · OSTI ID:1342535

Checkpoint/restart-enabled parallel debugging
Conference · Thu Nov 11 23:00:00 EST 2010 · OSTI ID:1407087