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Related papers: Some New Approaches to MPI Implementations

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The cloud infrastructure must provide security for High-Performance Computing (HPC) applications of sensitive data to execute in such an environment. However, supporting security in the communication infrastructure of today's public cloud…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-11-04 Abu Naser , Cong Wu , Mehran Sadeghi Lahijani , Mohsen Gavahi , Viet Tung Hoang , Zhi Wang , Xin Yuan

The use of hybrid scheme combining the message passing programming models for inter-node parallelism and the shared memory programming models for node-level parallelism is widely spread. Existing extensive practices on hybrid Message…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-07-23 Huan Zhou , Jose Gracia , Naweiluo Zhou , Ralf Schneider

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

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

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

MPI derived datatypes are an abstraction that simplifies handling of non-contiguous data in MPI applications. These datatypes are recursively constructed at runtime from primitive Named Types defined in the MPI standard. More recently, the…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-04-22 Carl Pearson , Kun Wu , I-Hsin Chung , Jinjun Xiong , Wen-Mei Hwu

We present a modern C++20 interface for MPI 4.0. The interface utilizes recent language features to ease development of MPI applications. An aggregate reflection system enables generation of MPI data types from user-defined classes…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-06-22 Ali Can Demiralp , Philipp Martin , Niko Sakic , Marcel Krüger , Tim Gerrits

In the exascale computing era, optimizing MPI collective performance in high-performance computing (HPC) applications is critical. Current algorithms face performance degradation due to system call overhead, page faults, or data-copy…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-05-19 Jiajun Huang , Kaiming Ouyang , Yujia Zhai , Jinyang Liu , Min Si , Ken Raffenetti , Hui Zhou , Atsushi Hori , Zizhong Chen , 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…

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

Two-phase I/O is a well-known strategy for implementing collective MPI-IO functions. It redistributes I/O requests among the calling processes into a form that minimizes the file access costs. As modern parallel computers continue to grow…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-06-23 Qiao Kang , Sunwoo Lee , Kai-yuan Hou , Robert Ross , Ankit Agrawal , Alok Choudhary , Wei-keng Liao

As applications grow in capability, they also grow in complexity. This complexity in turn gets pushed into modules and libraries. In addition, hardware configurations become increasingly elaborate, too. These two trends make understanding,…

Software Engineering · Computer Science 2018-03-21 Ronny Brendel , Bert Wesarg , Ronny Tschüter , Matthias Weber , Thomas Ilsche , Sebastian Oeste

MLI is an Application Programming Interface designed to address the challenges of building Machine Learn- ing algorithms in a distributed setting based on data-centric computing. Its primary goal is to simplify the development of…

This work presents MLIR, a novel approach to building reusable and extensible compiler infrastructure. MLIR aims to address software fragmentation, improve compilation for heterogeneous hardware, significantly reduce the cost of building…

The objective of this research is to construct parallel implementations of the Jacobi algorithm used for the solution of linear algebraic systems, to measure their speedup with respect to the serial case and to compare each other, regarding…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-03-27 Athanasios Margaris , Stauros Souravlas , Manos Roumeliotis

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

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

C++ advocates exceptions as the preferred way to handle unexpected behaviour of an implementation in the code. This does not integrate well with the error handling of MPI, which more or less always results in program termination in case of…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-04-16 Christian Engwer , Mirco Altenbernd , Nils-Arne Dreier , Dominik Göddeke

Since the C++ bindings were deleted in 2008, the Message Passing Interface (MPI) community has revived efforts in building high-level modern C++ interfaces. Such interfaces are either built to serve specific scientific application needs…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-10-17 C. Nicole Avans , Alfredo A. Correa , Sayan Ghosh , Matthias Schimek , Joseph Schuchart , Anthony Skjellum , Evan D. Suggs , Tim Niklas Uhl

Multiple-input multiple-output (MIMO) systems are playing an increasing and interesting role in the recent wireless communication. The complexity and the performance of the systems are driving the different studies and researches. Lattices…

Information Theory · Computer Science 2016-07-14 Nizar Ouni , Ridha Bouallegue

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