Towards High Performance Resilience Using Performance Portable Abstractions

Nicolas Morales, Keita Teranishi, Bogdan Nicolae, Christian Trott, Franck Cappello

Research output: Chapter in Book/Report/Conference proceedingConference contribution


In the drive towards Exascale, the extreme heterogeneity of supercomputers at all levels places a major development burden on HPC applications. To this end, performance portable abstractions such as those advocated by Kokkos, RAJA and HPX are becoming increasingly popular. At the same time, the unprecedented scalability requirements of such heterogeneous components means higher failure rates, motivating the need for resilience in systems and applications. Unfortunately, state-of-art resilience techniques based on checkpoint/restart are lagging behind performance portability efforts: users still need to capture consistent states manually, which introduces the need for fine-tuning and customization. In this paper we aim to close this gap by introducing a set of abstractions that make it easier for the application developers to reason about resilience. To this end, we extend the existing abstractions proposed by performance portability efforts towards resilience. By marking critical data structures that need to be checkpointed, one can enable an optimized runtime to automate checkpoint-restart using high performance and scalable asynchronously techniques. We illustrate the feasibility of our proposal using a prototype that combines the Kokkos runtime (HPC performance portability), with the VELOC runtime (large-scale low overhead checkpoint-restart). Our experimental results show negligible performance overhead compared with a manually tuned implementation of checkpoint-restart while requiring minimal changes in the application code.

Original languageEnglish (US)
Title of host publicationEuro-Par 2021
Subtitle of host publicationParallel Processing - 27th International Conference on Parallel and Distributed Computing, Proceedings
EditorsLeonel Sousa, Nuno Roma, Pedro Tomás
Number of pages15
ISBN (Print)9783030856649
StatePublished - 2021
Externally publishedYes
Event27th International European Conference on Parallel and Distributed Computing, Euro-Par 2021 - Lisbon, Portugal
Duration: Sep 1 2021Sep 3 2021

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12820 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference27th International European Conference on Parallel and Distributed Computing, Euro-Par 2021


  • Checkpointing
  • Fault tolerance
  • Performance portability
  • Programming models
  • Resilience

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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