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Related papers: Transparent Checkpoint-Restart over InfiniBand

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Fault tolerance for the upcoming exascale generation has long been an area of active research. One of the components of a fault tolerance strategy is checkpointing. Petascale-level checkpointing is demonstrated through a new mechanism for…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-09-27 Jiajun Cao , Kapil Arya , Rohan Garg , Shawn Matott , Dhabaleswar K. Panda , Hari Subramoni , Jérôme Vienne , Gene Cooperman

Fault-tolerance has always been an important topic when it comes to running massively parallel programs at scale. Statistically, hardware and software failures are expected to occur more often on systems gathering millions of computing…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-06-13 Julien Adam , Maxime Kermarquer , Jean-Baptiste Besnard , Leonardo Bautista-Gomez , Marc Perache , Patrick Carribault , Julien Jaeger , Allen D. Malony , Sameer Shende

DMTCP (Distributed MultiThreaded CheckPointing) is a transparent user-level checkpointing package for distributed applications. Checkpointing and restart is demonstrated for a wide range of over 20 well known applications, including MATLAB,…

Distributed, Parallel, and Cluster Computing · Computer Science 2009-02-24 Jason Ansel , Kapil Arya , Gene Cooperman

Transparently checkpointing MPI for fault tolerance and load balancing is a long-standing problem in HPC. The problem has been complicated by the need to provide checkpoint-restart services for all combinations of an MPI implementation over…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-04-30 Rohan Garg , Gregory Price , Gene Cooperman

MPI is the de facto standard for parallel computing on a cluster of computers. Checkpointing is an important component in any strategy for software resilience and for long-running jobs that must be executed by chaining together time-bounded…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-08-06 Yao Xu , Gene Cooperman

Distributed applications running on a large cluster environment, such as the cloud instances will have shorter execution time. However, the application might suffer from sudden termination due to unpredicted computing node failures, thus…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-11-30 Basma Abdel Azeem , Manal Helal

Taking snapshots of the state of a distributed computation is useful for off-line analysis of the computational state, for later restarting from the saved snapshot, for cloning a copy of the computation, and for migration to a new cluster.…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-10-09 Yao Xu , Gene Cooperman

This paper presents an in-depth examination of checkpoint-restart mechanisms in High-Performance Computing (HPC). It focuses on the use of Distributed MultiThreaded CheckPointing (DMTCP) in various computational settings, including both…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-07-30 Madan Timalsina , Lisa Gerhardt , Nicholas Tyler , Johannes P. Blaschke , William Arndt

Faults in high-performance systems are expected to be very large in the current exascale computing era. To compensate for a higher failure rate, the standard checkpoint/restart technique would need to create checkpoints at a much higher…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-04-15 Sarthak Joshi , Sathish Vadhiyar

Process checkpoint-restart is a technology with great potential for use in HEP workflows. Use cases include debugging, reducing the startup time of applications both in offline batch jobs and the High Level Trigger, permitting job…

Computational Physics · Physics 2014-10-24 Kapil Arya , Gene Cooperman , Andrea Dotti , Peter Elmer

Scaling supercomputers comes with an increase in failure rates due to the increasing number of hardware components. In standard practice, applications are made resilient through checkpointing data and restarting execution after a failure…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-02-16 Giorgis Georgakoudis , Luanzheng Guo , Ignacio Laguna

Providing fault-tolerance for long-running GPU-intensive jobs requires application-specific solutions, and often involves saving the state of complex data structures spread among many graphics libraries. This work describes a mechanism for…

Operating Systems · Computer Science 2014-02-05 Samaneh Kazemi Nafchi , Rohan Garg , Gene Cooperman

With the increase in compute nodes in large compute platforms, a proportional increase in node failures will follow. Many application-based checkpoint/restart (C/R) techniques have been proposed for MPI applications to target the reduced…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-05-30 Kiril Dichev , Herbert Jordan , Konstantinos Tovletoglou , Thomas Heller , Dimitrios S. Nikolopoulos , Georgios Karakonstantis , Charles Gillan

This work presents experience with traditional use cases of checkpointing on a novel platform. A single codebase (MANA) transparently checkpoints production workloads for major available MPI implementations: "develop once, run everywhere".…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-09-27 Yao Xu , Leonid Belyaev , Twinkle Jain , Derek Schafer , Anthony Skjellum , Gene Cooperman

As we have entered Exascale computing, the faults in high-performance systems are expected to increase considerably. To compensate for a higher failure rate, the standard checkpoint/restart technique would need to create checkpoints at a…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-10-26 Sarthak Joshi , Sathish Vadhiyar

Production MPI codes need checkpoint-restart (CPR) support. Clearly, checkpoint-restart libraries must be fault tolerant lest they open up a window of vulnerability for failures with byzantine outcomes. But, certain popular libraries that…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-12-22 Anthony Skjellum , Derek Schafer

The fault tolerance method currently used in High Performance Computing (HPC) is the rollback-recovery method by using checkpoints. This, like any other fault tolerance method, adds an additional energy consumption to that of the execution…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-09-05 Marina Moran , Javier Balladini , Dolores Rexachs , Emilio Luque

Checkpoint/restart (C/R) provides fault-tolerant computing capability, enables long running applications, and provides scheduling flexibility for computing centers to support diverse workloads with different priority. It is therefore vital…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-03-17 Prashant Singh Chouhan , Harsh Khetawat , Neil Resnik , Twinkle Jain , Rohan Garg , Gene Cooperman , Rebecca Hartman-Baker , Zhengji Zhao

Stream processing in the last decade has seen broad adoption in both commercial and research settings. One key element for this success is the ability of modern stream processors to handle failures while ensuring exactly-once processing…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-03-21 George Siachamis , Kyriakos Psarakis , Marios Fragkoulis , Arie van Deursen , Paris Carbone , Asterios Katsifodimos

MANA-2.0 is a scalable, future-proof design for transparent checkpointing of MPI-based computations. Its network transparency ("network-agnostic") feature ensures that MANA-2.0 will provide a viable, efficient mechanism for transparently…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-12-14 Yao Xu , Zhengji Zhao , Rohan Garg , Harsh Khetawat , Rebecca Hartman-Baker , Gene Cooperman
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