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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

MPI is the most widely used data transfer and communication model in High Performance Computing. The latest version of the standard, MPI-3, allows skilled programmers to exploit all hardware capabilities of the latest and future…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-09-30 Huan Zhou , Jose Gracia

The relaxed semantics and rich functionality of one-sided communication primitives of MPI-3 makes MPI an attractive candidate for the implementation of PGAS models. However, the performance of such implementation suffers from the fact, that…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-03-08 Huan Zhou , Kamran Idrees , José Gracia

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

Modern interconnects offer remote direct memory access (RDMA) features. Yet, most applications rely on explicit message passing for communications albeit their unwanted overheads. The MPI-3.0 standard defines a programming interface for…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-07-01 Robert Gerstenberger , Maciej Besta , Torsten Hoefler

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

Remote Memory Access (RMA), also known as single sided communications, provides a way of accessing the memory of other processes without having to issue explicit message passing style communication calls. Previous studies have concluded…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-10-27 Nick Brown , Michael Bareford , Michèle Weiland

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

MPI+X has been the de facto standard for distributed memory parallel programming. It is widely used primarily as an explicit two-sided communication model, which often leads to complex and error-prone code. Alternatively, PGAS model…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-09-05 Baodi Shan , Mauricio Araya-Polo , Barbara Chapman

Modern heterogeneous supercomputing systems are comprised of CPUs, GPUs, and high-speed network interconnects. Communication libraries supporting efficient data transfers involving memory buffers from the GPU memory typically require the…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-06-29 Naveen Namashivayam , Krishna Kandalla , James B White , Larry Kaplan , Mark Pagel

This work presents an extension to MPI supporting the one-sided communication model and window allocations in storage. Our design transparently integrates with the current MPI implementations, enabling applications to target MPI windows in…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-04-28 Sergio Rivas-Gomez , Stefano Markidis , Ivy Bo Peng , Erwin Laure , Gokcen Kestor , Roberto Gioiosa

Bootstrapping is a powerful statistical resampling technique for estimating the sampling distribution of an estimator. However, its computational cost becomes prohibitive for large datasets or a high number of resamples. This paper presents…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-10-21 Di Zhang

On many parallel machines, the time LQCD applications spent in communication is a significant contribution to the total wall-clock time, especially in the strong-scaling limit. We present a novel high-performance communication library that…

High Energy Physics - Lattice · Physics 2017-01-31 Peter Georg , Daniel Richtmann , Tilo Wettig

The current trend of multicore architectures on shared memory systems underscores the need of parallelism. While there are some programming model to express parallelism, thread programming model has become a standard to support these system…

Distributed, Parallel, and Cluster Computing · Computer Science 2010-12-13 D. T. Hasta , A. B. Mutiara

Scale-out parallel processing based on MPI is a 25-year-old standard with at least another decade of preceding history of enabling technologies in the High Performance Computing community. Newer frameworks such as MapReduce, Hadoop, and…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-07-18 Brandon L. Morris , Anthony Skjellum

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

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

This paper investigates the novel one-sided communication methods based on remote memory access (RMA) operations in MPI for dynamic resizing of malleable applications, enabling data redistribution with minimal impact on application…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-01-28 Iker Martín-Álvarez , José I. Aliaga , Maribel Castillo

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 , Christoph Niethammer , José Gracia

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
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