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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

Faults in high-performance systems are expected to be very large in the current exascale computing era. To compensate for a higher failure rate, the standard checkpoint/restart technique would need to create checkpoints at a much higher…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-04-15 Sarthak Joshi , Sathish Vadhiyar

Many modern, high-performance systems increase the cumulated node-bandwidth by offering more than a single communication network and/or by having multiple connections to the network. Efficient algorithms and implementations for collective…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-01-16 Jesper Larsson Träff

This paper investigates session programming and typing of benchmark examples to compare productivity, safety and performance with other communications programming languages. Parallel algorithms are used to examine the above aspects due to…

Programming Languages · Computer Science 2010-02-05 Andi Bejleri , Raymond Hu , Nobuko Yoshida

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

We propose fork-join and task-based hybrid implementations of four classical linear algebra iterative methods (Jacobi, Gauss-Seidel, conjugate gradient and biconjugate gradient stabilised) as well as variations of them. Algorithms are duly…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-05-24 Pedro J. Martinez-Ferrer , Tufan Arslan , Vicenç Beltran

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…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-01-31 Hui Zhou , Ken Raffenetti , Junchao Zhang , Yanfei Guo , Rajeev Thakur

Recent increased interest in Cloud computing emphasizes the need to find an adequate solution to the load-balancing problem in parallel computing -- efficiently running several jobs concurrently on a cluster of shared computers (nodes). One…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-07-02 Adam Lev-Libfeld , Alex Margolin , Amnon Barak

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 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

Taking snapshots of the state of a distributed computation is useful for off-line analysis of the computational state, for later restarting from the saved snapshot, for cloning a copy of the computation, and for migration to a new cluster.…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-10-09 Yao Xu , Gene Cooperman

This paper provides some new approaches to MPI implementations to improve MPI performance. These approaches include dynamically composable libraries, reducing average layer numbers of MPI libraries, and a single entity of MPI-network,…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-05-31 Yuqing Xiong

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 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

MPI uses the concept of communicators to connect groups of processes. It provides nonblocking collective operations on communicators to overlap communication and computation. Flexible algorithms demand flexible communicators. E.g., a…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-03-02 Michael Axtmann , Armin Wiebigke , Peter Sanders

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 Message Passing Interface (MPI) is the de facto standard message-passing infrastructure for developing parallel applications. Two decades after the first version of the library specification, MPI-based applications are nowadays…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-12-11 Eduardo R. B. Marques , Francisco Martins , Vasco T. Vasconcelos , Nicholas Ng , Nuno Martins

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

The Message Passing Interface specification (MPI) defines a portable message-passing API used to program parallel computers. MPI programs manifest a number of challenges on what concerns correctness: sent and expected values in…

Programming Languages · Computer Science 2015-08-21 César Santos , Francisco Martins , Vasco Thudichum Vasconcelos

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