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MPI is the de facto standard for parallel computing on a cluster of computers. Checkpointing is an important component in any strategy for software resilience and for long-running jobs that must be executed by chaining together time-bounded…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-08-06 Yao Xu , Gene Cooperman

Fault-tolerance has always been an important topic when it comes to running massively parallel programs at scale. Statistically, hardware and software failures are expected to occur more often on systems gathering millions of computing…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-06-13 Julien Adam , Maxime Kermarquer , Jean-Baptiste Besnard , Leonardo Bautista-Gomez , Marc Perache , Patrick Carribault , Julien Jaeger , Allen D. Malony , Sameer Shende

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

InfiniBand is widely used for low-latency, high-throughput cluster computing. Saving the state of the InfiniBand network as part of distributed checkpointing has been a long-standing challenge for researchers. Because of a lack of a…

Operating Systems · Computer Science 2014-02-03 Jiajun Cao , Gregory Kerr , Kapil Arya , Gene Cooperman

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

We evaluate optimized parallel sparse matrix-vector operations for several representative application areas on widespread multicore-based cluster configurations. First the single-socket baseline performance is analyzed and modeled with…

Distributed, Parallel, and Cluster Computing · Computer Science 2012-03-01 Gerald Schubert , Holger Fehske , Georg Hager , Gerhard Wellein

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

Coordinated checkpointing is an effective fault tolerant technique in distributed system as it avoids the domino effect and require minimum storage requirement. Most of the earlier coordinated checkpoint algorithms block their computation…

Distributed, Parallel, and Cluster Computing · Computer Science 2010-07-15 Surender Kumar , R. K. Chauhan , Parveen Kumar

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

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

Transparently checkpointing MPI for fault tolerance and load balancing is a long-standing problem in HPC. The problem has been complicated by the need to provide checkpoint-restart services for all combinations of an MPI implementation over…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-04-30 Rohan Garg , Gregory Price , Gene Cooperman

We evaluate optimized parallel sparse matrix-vector operations for two representative application areas on widespread multicore-based cluster configurations. First the single-socket baseline performance is analyzed and modeled with respect…

Performance · Computer Science 2012-03-01 Gerald Schubert , Georg Hager , Holger Fehske , Gerhard Wellein

In this paper, we address the problem of designing a distributed application meant to run both classical and asynchronous iterations. MPI libraries are very popular and widely used in the scientific community, however asynchronous iterative…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-07-01 Guillaume Gbikpi-Benissan , Frederic Magoules

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

As we have entered Exascale computing, the faults in high-performance systems are expected to increase considerably. To compensate for a higher failure rate, the standard checkpoint/restart technique would need to create checkpoints at a…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-10-26 Sarthak Joshi , Sathish Vadhiyar

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

Comprehending the performance bottlenecks at the core of the intricate hardware-software interactions exhibited by highly parallel programs on HPC clusters is crucial. This paper sheds light on the issue of automatically asynchronous MPI…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-09-06 Ayesha Afzal , Georg Hager , Stefano Markidis , Gerhard Wellein

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

We introduce a new approach to enable an open and public parallel machine which is accessible for multi users with multi jobs belong to different blocks running at the same time. The concept is required especially for parallel machines…

Distributed, Parallel, and Cluster Computing · Computer Science 2007-08-07 Z. Akbar , Slamet , B. I. Ajinagoro , G. I. Ohara , I. Firmansyah , B. Hermanto , L. T. Handoko

Exactly solving multi-objective integer programming (MOIP) problems is often a very time consuming process, especially for large and complex problems. Parallel computing has the potential to significantly reduce the time taken to solve such…

Optimization and Control · Mathematics 2018-11-02 William Pettersson , Melih Ozlen
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