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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

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

Asynchronous Many-task (AMT) runtime systems have gained increasing acceptance in the HPC community due to the performance improvements offered by fine-grained tasking runtime systems. At the same time, C++ standardization efforts are…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-07-09 Tianyi Zhang , Shahrzad Shirzad , Patrick Diehl , R. Tohid , Weile Wei , Hartmut Kaiser

Heterogeneous memory technologies are increasingly important instruments in addressing the memory wall in HPC systems. While most are deployed in single node setups, CXL.mem is a technology that implements memories that can be attached to…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-12-10 Stepan Vanecek , Matthew Turner , Manisha Gajbe , Matthew Wolf , Martin Schulz

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 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

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

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

Asynchronous Many-Task (AMT) runtimes offer a productive alternative to the Message Passing Interface (MPI). However, the diverse AMT landscape makes fair comparisons challenging. Task Bench, proposed by Slaughter et al., addresses this…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-03-16 Torben R. Lahnor , Mia Reitz , Jonas Posner , Patrick Diehl

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…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-08-23 Jeff R. Hammond , Lisandro Dalcin , Erik Schnetter , Marc Pérache , Jean-Baptiste Besnard , Jed Brown , Gonzalo Brito Gadeschi , Joseph Schuchart , Simon Byrne , Hui Zhou

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

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

Exascale systems, expected to emerge by the end of the next decade, will require the exploitation of billion-way parallelism at multiple hierarchical levels in order to achieve the desired sustained performance. The task of assessing future…

Distributed, Parallel, and Cluster Computing · Computer Science 2011-09-27 Matthew Anderson , Maciej Brodowicz , Hartmut Kaiser , Thomas Sterling

Asynchronous Many-Task (AMT) runtime systems take advantage of multi-core architectures with light-weight threads, asynchronous executions, and smart scheduling. In this paper, we present the comparison of the AMT systems Charm++ and HPX…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-05-04 Nanmiao Wu , Ioannis Gonidelis , Simeng Liu , Zane Fink , Nikunj Gupta , Karame Mohammadiporshokooh , Patrick Diehl , Hartmut Kaiser , Laxmikant V. Kale

Asynchronous Many-Task Systems (AMTs) exhibit different communication patterns from traditional High-Performance Computing (HPC) applications, characterized by asynchrony, concurrency, and multithreading. Existing communication libraries…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-03-20 Jiakun Yan , Marc Snir

Many parallel applications rely on iterative stencil operations, whose performance are dominated by communication costs at large scales. Several MPI optimizations, such as persistent and partitioned communication, reduce overheads and…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-08-20 Gerald Collom , Jason Burmark , Olga Pearce , Amanda Bienz

The evolution of architectures, programming models, and algorithms is driving communication towards greater asynchrony and concurrency, usually in multithreaded environments. We present LCI, a communication library designed for efficient…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-08-26 Jiakun Yan , Marc Snir

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

Collective communication operations such as MPI_Alltoallv are central to many HPC applications, particularly those with irregular message sizes. We design, implement, and evaluate persistent MPI RMA variants of Alltoallv based on fence and…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-04-08 Evelyn Namugwanya

Offload of MPI collectives to network devices, e.g., NICs and switches, is being implemented as an effective mechanism to improve application performance by reducing inter- and intra-node communication and bypassing MPI software layers.…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-06-01 Pouya Haghi , Ryan Marshall , Po Hao Chen , Anthony Skjellum , Martin Herbordt