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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

Grid environments have recently been developed with low stretch and overheads that increase with the logarithm of the number of nodes in the system. Getting and sending data to/from a large numbers of nodes is gaining importance due to an…

Distributed, Parallel, and Cluster Computing · Computer Science 2007-05-23 Benoit Hudzia , Serge Petiton

As HPC system architectures and the applications running on them continue to evolve, the MPI standard itself must evolve. The trend in current and future HPC systems toward powerful nodes with multiple CPU cores and multiple GPU…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-02-20 Hui Zhou , Ken Raffenetti , Yanfei Guo , Thomas Gillis , Robert Latham , Rajeev Thakur

The Message Passing Interface (MPI) is the most commonly used application programming interface for process communication on current large-scale parallel systems. Due to the scale and complexity of modern parallel architectures, it is…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-09-05 Sascha Hunold , Alexandra Carpen-Amarie , Felix Donatus Lübbe , Jesper Larsson Träff

In this paper, we address the problem of designing a distributed application meant to run both classical and asynchronous iterations. MPI libraries are very popular and widely used in the scientific community, however asynchronous iterative…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-07-01 Guillaume Gbikpi-Benissan , Frederic Magoules

The efficient implementation of collective communiction operations has received much attention. Initial efforts produced "optimal" trees based on network communication models that assumed equal point-to-point latencies between any two…

Distributed, Parallel, and Cluster Computing · Computer Science 2007-05-23 N. T. Karonis , B. de Supinski , I. Foster , W. Gropp , E. Lusk

A Partitioned Global Address Space (PGAS) approach treats a distributed system as if the memory were shared on a global level. Given such a global view on memory, the user may program applications very much like shared memory systems. This…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-07-08 Huan Zhou , Yousri Mhedheb , Kamran Idrees , Colin W. Glass , José Gracia , Karl Fürlinger , Jie Tao

We present a simple library which equips MPI implementations with truly asynchronous non-blocking point-to-point operations, and which is independent of the underlying communication infrastructure. It utilizes the MPI profiling interface…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-02-19 Markus Wittmann , Georg Hager , Thomas Zeiser , Gerhard Wellein

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

The Message Passing Interface (MPI) is the prevalent programming model used on today's supercomputers. Therefore, MPI library developers are looking for the best possible performance (shortest run-time) of individual MPI functions across…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-05-30 Sascha Hunold , Alexandra Carpen-Amarie

Partitioned communication was introduced in MPI 4.0 as a user-friendly interface to support pipelined communication patterns, particularly common in the context of MPI+threads. It provides the user with the ability to divide a global buffer…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-08-15 Thomas Gillis , Ken Raffenetti , Hui Zhou , Yanfei Guo , Rajeev Thakur

Message Passing Interface (MPI) plays a crucial role in distributed memory parallelization across multiple nodes. However, parallelizing MPI code manually, and specifically, performing domain decomposition, is a challenging, error-prone…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-08-31 Nadav Schneider , Tal Kadosh , Niranjan Hasabnis , Timothy Mattson , Yuval Pinter , Gal Oren

The progression of communication in the Message Passing Interface (MPI) is not well defined, yet it is critical for application performance, particularly in achieving effective computation and communication overlap. The opaque nature of MPI…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-07-16 Hui Zhou , Robert Latham , Ken Raffenetti , Yanfei Guo , Rajeev Thakur

The Message Passing Interface (MPI) has been extremely successful as a portable way to program high-performance parallel computers. This success has occurred in spite of the view of many that message passing is difficult and that other…

Distributed, Parallel, and Cluster Computing · Computer Science 2007-05-23 William D. Gropp

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

The classical-quantum system heterogeneity (different data characteristics, execution paradigms and synchronization mechanism etc.) renders existing distributed communication mechanisms (e.g. MPI, NCCL etc.) inadequate. This bottleneck…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-04-03 Feng Wang , Junchao Wang , Zeyuan Wang , Lei Li , Hang Lian , Yangyang Fei , Jinyang Yao , Xuyan Qi , Fudong Liu , Yifan Hou , Shibo Liang , Zheng Shan

We present MPWide, a platform independent communication library for performing message passing between computers. Our library allows coupling of several local MPI applications through a long distance network and is specifically optimized…

Distributed, Parallel, and Cluster Computing · Computer Science 2010-08-18 Derek Groen , Steven Rieder , Paola Grosso , Cees de Laat , Simon Portegies Zwart

The hybrid MPI+X programming paradigm, where X refers to threads or GPUs, has gained prominence in the high-performance computing arena. This corresponds to a trend of system architectures growing more heterogeneous. The current MPI…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-08-31 Hui Zhou , Ken Raffenetti , Yanfei Guo , Rajeev Thakur

We present MPWide, a light weight communication library which allows efficient message passing over a distributed network. MPWide has been designed to connect application running on distributed (super)computing resources, and to maximize…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-01-06 Derek Groen , Steven Rieder , Simon Portegies Zwart

Containers represent a convenient way of packing applications with dependencies for easy user-level installation and productivity. When running on supercomputers, it becomes crucial to optimize the containers to exploit the performance…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-07-30 Alfio Lazzaro
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