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相关论文: Quo Vadis MPI RMA? Towards a More Efficient Use of…

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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…

分布式、并行与集群计算 · 计算机科学 2017-04-28 Sergio Rivas-Gomez , Stefano Markidis , Ivy Bo Peng , Erwin Laure , Gokcen Kestor , Roberto Gioiosa

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…

分布式、并行与集群计算 · 计算机科学 2020-10-27 Nick Brown , Michael Bareford , Michèle Weiland

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…

分布式、并行与集群计算 · 计算机科学 2020-07-01 Robert Gerstenberger , Maciej Besta , Torsten Hoefler

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…

分布式、并行与集群计算 · 计算机科学 2018-10-10 Sergio Rivas-Gomez , Roberto Gioiosa , Ivy Bo Peng , Gokcen Kestor , Sai Narasimhamurthy , Erwin Laure , Stefano Markidis

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…

分布式、并行与集群计算 · 计算机科学 2016-03-08 Huan Zhou , Kamran Idrees , José Gracia

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…

分布式、并行与集群计算 · 计算机科学 2026-01-28 Iker Martín-Álvarez , José I. Aliaga , Maribel Castillo

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…

分布式、并行与集群计算 · 计算机科学 2024-07-16 Hui Zhou , Robert Latham , Ken Raffenetti , Yanfei Guo , Rajeev Thakur

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…

分布式、并行与集群计算 · 计算机科学 2016-09-28 Huan Zhou , Jose Gracia

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…

分布式、并行与集群计算 · 计算机科学 2016-09-30 Huan Zhou , Jose Gracia

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…

分布式、并行与集群计算 · 计算机科学 2022-06-30 Rohit Zambre , Aparna Chandramowlishwaran

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…

分布式、并行与集群计算 · 计算机科学 2024-01-31 Hui Zhou , Ken Raffenetti , Junchao Zhang , Yanfei Guo , Rajeev Thakur

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…

分布式、并行与集群计算 · 计算机科学 2025-08-27 Jiakun Yan , Marc Snir , Yanfei Guo

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…

分布式、并行与集群计算 · 计算机科学 2025-12-16 Xi Wang , Bin Ma , Jongryool Kim , Byungil Koh , Hoshik Kim , Dong Li

Remote Memory Access (RMA) is an emerging mechanism for programming high-performance computers and datacenters. However, little work exists on resilience schemes for RMA-based applications and systems. In this paper we analyze fault…

分布式、并行与集群计算 · 计算机科学 2020-10-20 Maciej Besta , Torsten Hoefler

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…

分布式、并行与集群计算 · 计算机科学 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…

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…

分布式、并行与集群计算 · 计算机科学 2021-12-23 Joseph Schuchart , Christoph Niethammer , José Gracia

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…

分布式、并行与集群计算 · 计算机科学 2019-09-27 Derek Schafer , Sheikh Ghafoor , Daniel Holmes , Martin Ruefenacht , Anthony Skjellum

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…

分布式、并行与集群计算 · 计算机科学 2021-12-23 Joseph Schuchart , Philipp Samfass , Christoph Niethammer , José Gracia , George Bosilca

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…

分布式、并行与集群计算 · 计算机科学 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
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