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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

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

The large variety of production implementations of the message passing interface (MPI) each provide unique and varying underlying algorithms. Each emerging supercomputer supports one or a small number of system MPI installations, tuned for…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-09-15 Amanda Bienz , Derek Schafer , Anthony Skjellum

MPI is the most widely used interface for high-performance computing (HPC) workloads. Its success lies in its embrace of libraries and ability to evolve while maintaining backward compatibility for older codes, enabling them to run on new…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-08-23 Jeff R. Hammond , Lisandro Dalcin , Erik Schnetter , Marc Pérache , Jean-Baptiste Besnard , Jed Brown , Gonzalo Brito Gadeschi , Joseph Schuchart , Simon Byrne , Hui Zhou

The MPI standard has long included one-sided communication abstractions through the MPI Remote Memory Access (RMA) interface. Unfortunately, the MPI RMA chapter in the 4.0 version of the MPI standard still contains both well-known and…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-11-17 Joseph Schuchart , Christoph Niethammer , José Gracia , George Bosilca

Composability is one of seven reasons for the long-standing and continuing success of MPI. Extending MPI by composing its operations with user-level operations provides useful integration with the progress engine and completion notification…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-09-27 Derek Schafer , Sheikh Ghafoor , Daniel Holmes , Martin Ruefenacht , Anthony Skjellum

Message Passing Interface (MPI) is the most commonly used paradigm in writing parallel programs since it can be employed not only within a single processing node but also across several connected ones. Data flow analysis concepts,…

Programming Languages · Computer Science 2013-11-06 Alaa Ismail Elnashar , Sultan Aljahdali , Mosaid Al Sadhan

Scientific applications have long embraced the MPI as the environment of choice to execute on large distributed systems. The User-Level Failure Mitigation (ULFM) specification extends the MPI standard to address resilience and enable MPI…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-01-27 Aurelien Bouteiller , George Bosilca

Benchmarking involves designing, running and disseminating rigorous performance assessments of methods, most often for data analysis and software tools, but the process can also be applied to experimental systems. Ideally, a benchmarking…

Other Quantitative Biology · Quantitative Biology 2026-02-12 Izaskun Mallona , Almut Luetge , Ben Carrillo , Daniel Incicau , Reto Gerber , Aidan Meara , Anthony Sonrel , Charlotte Soneson , Mark D. Robinson

The Message Passing Interface specification (MPI) defines a portable message-passing API used to program parallel computers. MPI programs manifest a number of challenges on what concerns correctness: sent and expected values in…

Programming Languages · Computer Science 2015-08-21 César Santos , Francisco Martins , Vasco Thudichum Vasconcelos

One of the hardest challenges of the current Big Data landscape is the lack of ability to process huge volumes of information in an acceptable time. The goal of this work, is to ascertain if it is useful to use typical Big Data tools to…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-05-08 Adrian Bazaga , Michal Pitonak

Debugging parallel and distributed programs is a difficult activitiy due to the multiplicity of sequential bugs, the existence of malign effects like race conditions and deadlocks, and the huge amounts of data that have to be processed.…

Software Engineering · Computer Science 2009-10-02 Dieter Kranzlmueller , Christian Schaubschlaeger , Jens Volkert

The Message-Passing Interface (MPI) and C++ form the backbone of high-performance computing, but MPI only provides C and Fortran bindings. While this offers great language interoperability, high-level programming languages like C++ make…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-11-13 Tim Niklas Uhl , Matthias Schimek , Lukas Hübner , Demian Hespe , Florian Kurpicz , Christoph Stelz , Peter Sanders

The Message Passing Interface (MPI) is the de facto standard message-passing infrastructure for developing parallel applications. Two decades after the first version of the library specification, MPI-based applications are nowadays…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-12-11 Eduardo R. B. Marques , Francisco Martins , Vasco T. Vasconcelos , Nicholas Ng , Nuno Martins

MPI+threads is gaining prominence as an alternative to the traditional MPI everywhere model in order to better handle the disproportionate increase in the number of cores compared with other on-node resources. However, the communication…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-05-04 Rohit Zambre , Aparna Chandramowlishwaran , Pavan Balaji

Hybrid MPI+threads programming is gaining prominence, but, in practice, applications perform slower with it compared to the MPI everywhere model. The most critical challenge to the parallel efficiency of MPI+threads applications is slow…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-06-30 Rohit Zambre , Aparna Chandramowlishwaran

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

Message logging protocols are enablers of local rollback, a more efficient alternative to global rollback, for fault tolerant MPI applications. Until now, message logging MPI implementations have incurred the overheads of a redesign and…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-05-09 Kiril Dichev , Dimitrios S. Nikolopoulos

Software developers must adapt to keep up with the changing capabilities of platforms so that they can utilize the power of High- Performance Computers (HPC), including exascale systems. OpenMP, a directive-based parallel programming model,…

This paper provides some new approaches to MPI implementations to improve MPI performance. These approaches include dynamically composable libraries, reducing average layer numbers of MPI libraries, and a single entity of MPI-network,…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-05-31 Yuqing Xiong