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Upcoming HPC clusters will feature hybrid memories and storage devices per compute node. In this work, we propose to use the MPI one-sided communication model and MPI windows as unique interface for programming memory and storage. We…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-10-10 Sergio Rivas-Gomez , Roberto Gioiosa , Ivy Bo Peng , Gokcen Kestor , Sai Narasimhamurthy , Erwin Laure , Stefano Markidis

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

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

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 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

Message Passing Interface (MPI) is a foundational programming model for high-performance computing. MPI libraries traditionally employ network interconnects (e.g., Ethernet and InfiniBand) and network protocols (e.g., TCP and RoCE) with…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-12-16 Xi Wang , Bin Ma , Jongryool Kim , Byungil Koh , Hoshik Kim , Dong Li

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

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

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

The increasing complexity of HPC architectures and the growing adoption of irregular scientific algorithms demand efficient support for asynchronous, multithreaded communication. This need is especially pronounced with Asynchronous…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-08-27 Jiakun Yan , Marc Snir , Yanfei Guo

Remote-memory-access models, also known as one-sided communication models, are becoming an interesting alternative to traditional two-sided communication models in the field of High Performance Computing. In this paper we extend previous…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-09-28 Huan Zhou , Jose Gracia

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

Application development for distributed computing "Grids" can benefit from tools that variously hide or enable application-level management of critical aspects of the heterogeneous environment. As part of an investigation of these issues,…

Distributed, Parallel, and Cluster Computing · Computer Science 2007-05-23 N. T. Karonis , B. Toonen , I. Foster

Asynchronous programming models (APM) are gaining more and more traction, allowing applications to expose the available concurrency to a runtime system tasked with coordinating the execution. While MPI has long provided support for…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-12-23 Joseph Schuchart , Philipp Samfass , Christoph Niethammer , José Gracia , George Bosilca

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

Message Passing Interface (MPI) is widely used to implement parallel programs. Although Windowsbased architectures provide the facilities of parallel execution and multi-threading, little attention has been focused on using MPI on these…

Distributed, Parallel, and Cluster Computing · Computer Science 2011-05-31 Alaa Ismail Elnashar

While application profiling has been a mainstay in the HPC community for years, profiling of MPI and other communication middleware has not received the same degree of exploration. This paper adds to the discussion of MPI profiling,…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-02-20 Riley Shipley , Garrett Hooten , David Boehme , Derek Schafer , Anthony Skjellum , Olga Pearce

MPI implementations commonly rely on explicit memory-copy operations, incurring overhead from redundant data movement and buffer management. This overhead notably impacts HPC workloads involving intensive inter-processor communication. In…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-10-17 Miryeong Kwon , Donghyun Gouk , Hyein Woo , Junhee Kim , Jinwoo Baek , Kyungkuk Nam , Sangyoon Ji , Jiseon Kim , Hanyeoreum Bae , Junhyeok Jang , Hyunwoo You , Junseok Moon , Myoungsoo Jung

MP net is a formal model specifically designed for the field of parallel applications that use a message passing interface. The main idea is to use MP net as a comprehensible way of presenting the actual structure of communication within…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-04-01 Martin Šurkovský

MPI+Threads, embodied by the MPI/OpenMP hybrid programming model, is a parallel programming paradigm where threads are used for on-node shared-memory parallelization and MPI is used for multi-node distributed-memory parallelization. OpenMP…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-01-31 Hui Zhou , Ken Raffenetti , Junchao Zhang , Yanfei Guo , Rajeev Thakur
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