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Related papers: Performance of MPI sends of non-contiguous data

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We examine natural expectations on communication performance using MPI derived datatypes in comparison to the baseline, "raw" performance of communicating simple, non-contiguous data layouts. We show that common MPI libraries sometimes…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-07-04 Alexandra Carpen-Amarie , Sascha Hunold , Jesper Larsson Träff

MPI's derived datatypes (DDTs) promise easier, copy-free communication of non-contiguous data, yet their practical performance remains debated and is often reported only for a single MPI stack. We present a cross-implementation assessment…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-11-19 Temitayo Adefemi

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

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

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

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

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

In this paper, we detail how two types of distributed coordinator election algorithms can be compared in terms of performance based on an evaluation on the High Performance Computing (HPC) infrastructure. An experimental approach based on…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-11-09 Filip De Turck

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

Message logging protocols are enablers of local rollback, a more efficient alternative to global rollback, for fault tolerant MPI applications. Until now, message logging MPI implementations have incurred the overheads of a redesign and…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-05-09 Kiril Dichev , Dimitrios S. Nikolopoulos

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

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

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

The I/O access patterns of many parallel applications consist of accesses to a large number of small, noncontiguous pieces of data. If an application's I/O needs are met by making many small, distinct I/O requests, however, the I/O…

Distributed, Parallel, and Cluster Computing · Computer Science 2007-05-23 Rajeev Thakur , William Gropp , Ewing Lusk

Dynamic scaling aims to elastically change the number of processes during runtime to tune the performance of the distributed applications. This report briefly presents a performance evaluation of MPI process provisioning / de-provisioning…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-01-01 Masatoshi Hanai , Georgios Theodoropoulos

The Message Passing Interface (MPI) framework is widely used in implementing imperative pro- grams that exhibit a high degree of parallelism. The PARTYPES approach proposes a behavioural type discipline for MPI-like programs in which a type…

Programming Languages · Computer Science 2017-04-12 Francisco Martins , Vasco Thudichum Vasconcelos , Hans Hüttel

The advent of multi-/many-core processors in clusters advocates hybrid parallel programming, which combines Message Passing Interface (MPI) for inter-node parallelism with a shared memory model for on-node parallelism. Compared to the…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-07-15 Huan Zhou , Jose Gracia , Ralf Schneider

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

Sorting has been a profound area for the algorithmic researchers and many resources are invested to suggest more works for sorting algorithms. For this purpose, many existing sorting algorithms were observed in terms of the efficiency of…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-11-20 Zaid Abdi Alkareem Alyasseri , Kadhim Al-Attar , Mazin Nasser

Computation of Mutual Information (MI) helps understand the amount of information shared between a pair of random variables. Automated feature selection techniques based on MI ranking are regularly used to extract information from sensitive…

Cryptography and Security · Computer Science 2020-09-24 Ankit Srivastava , Samira Pouyanfar , Joshua Allen , Ken Johnston , Qida Ma
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