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Microservice architecture has become a dominant paradigm in application development due to its advantages of being lightweight, flexible, and resilient. Deploying microservice applications in the container-based cloud enables fine-grained…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-11-05 Zhengxin Fang , Hui Ma , Gang Chen , Rajkumar Buyya

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

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

Binary package managers install software quickly but they limit configurability due to rigid ABI requirements that ensure compatibility between binaries. Source package managers provide flexibility in building software, but compilation can…

Software Engineering · Computer Science 2025-09-10 John Gouwar , Gregory Becker , Tamara Dahlgren , Nathan Hanford , Arjun Guha , Todd Gamblin

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

Containerization technology offers lightweight OS-level virtualization, and enables portability, reproducibility, and flexibility by packing applications with low performance overhead and low effort to maintain and scale them. Moreover,…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-11-22 Peini Liu , Jordi Guitart

Workflows are critical for scientific discovery. However, the sophistication, heterogeneity, and scale of workflows make building, testing, and optimizing them increasingly challenging. Furthermore, their complexity and heterogeneity make…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-03-28 Ozgur Ozan Kilic , Tianle Wang , Matteo Turilli , Mikhail Titov , Andre Merzky , Line Pouchard , Shantenu Jha

The simulation of quantum circuits using the tensor network method is very computationally demanding and requires significant High Performance Computing (HPC) resources to find an efficient contraction order and to perform the contraction…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-01-25 David Brayford , John Brennan , Momme Allalen , Kenneth Hanley , Luigi Iapichino , Lee ORiordan , Niall Moran

One of the most important issues in the path to the convergence of HPC and Big Data is caused by the differences in their software stacks. Despite some research efforts, the interoperability between their programming models and languages is…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-11-25 César Piñeiro , Juan C. Pichel

Safe, shared-memory interoperability between languages with different type systems and memory-safety guarantees is an intricate problem as crossing language boundaries may result in memory-safety violations. In this paper, we present…

Programming Languages · Computer Science 2024-01-17 Zoe Paraskevopoulou , Michael Fitzgibbons , Michelle Thalakottur , Noble Mushtak , Jose Sulaiman Mazur , Amal Ahmed

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

Message Passing Interface (MPI) has been a well-established technology in the domain of distributed high-performance computing for several decades. However, one of its greatest drawbacks is a rather ancient pure-C interface. It lacks many…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-10-21 Jiří Klepl , Martin Kruliš , Matyáš Brabec

Containers, enabling lightweight environment and performance isolation, fast and flexible deployment, and fine-grained resource sharing, have gained popularity in better application management and deployment in addition to hardware…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-11-06 Maria A. Rodriguez , Rajkumar Buyya

Composability is one of seven reasons for the long-standing and continuing success of MPI. Extending MPI by composing its operations with user-level operations provides useful integration with the progress engine and completion notification…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-09-27 Derek Schafer , Sheikh Ghafoor , Daniel Holmes , Martin Ruefenacht , Anthony Skjellum

The adoption of heterogeneous computing systems based on diverse architectures to achieve exascale computing power has worsened the performance portability problem of scientific applications that were designed to run on these platforms. To…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-10-17 Ami Marowka

Runtime scheduling and workflow systems are an increasingly popular algorithmic component in HPC because they allow full system utilization with relaxed synchronization requirements. There are so many special-purpose tools for task…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-11-03 David M. Rogers

The family of Multiscale Hybrid-Mixed (MHM) finite element methods has received considerable attention from the mathematics and engineering community in the last few years. The MHM methods allow solving highly heterogeneous problems on…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-03-31 Antonio Tadeu A. Gomes , Weslley S. Pereira , Frederic Valentin , Diego Paredes

Python has become a dominant programming language for emerging areas like Machine Learning (ML), Deep Learning (DL), and Data Science (DS). An attractive feature of Python is that it provides easy-to-use programming interface while allowing…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-08-26 Nawras Alnaasan , Arpan Jain , Aamir Shafi , Hari Subramoni , Dhabaleswar K Panda

The use of virtualization technologies in different contexts - such as Cloud Environments, Internet of Things (IoT), Software Defined Networking (SDN) - has rapidly increased during the last years. Among these technologies, container-based…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-10-30 Roberto Morabito

We introduce Wasm Logic, a sound program logic for first-order, encapsulated WebAssembly. We design a novel assertion syntax, tailored to WebAssembly's stack-based semantics and the strong guarantees given by WebAssembly's type system, and…

Programming Languages · Computer Science 2020-05-22 Conrad Watt , Petar Maksimović , Neelakantan R. Krishnaswami , Philippa Gardner