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Related papers: MPISE: Symbolic Execution of MPI Programs

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The hybrid MPI+X programming paradigm, where X refers to threads or GPUs, has gained prominence in the high-performance computing arena. This corresponds to a trend of system architectures growing more heterogeneous. The current MPI…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-08-31 Hui Zhou , Ken Raffenetti , Yanfei Guo , Rajeev Thakur

Machine programming (MP) is concerned with automating software development. According to studies, software engineers spend upwards of 50% of their development time debugging software. To help accelerate debugging, we present MP-CodeCheck…

Software Engineering · Computer Science 2022-04-18 Urs C. Muff , Celine Lee , Paul Gottschlich , Justin Gottschlich

This system paper documents the technical foundations for the extension of the Topology ToolKit (TTK) to distributed-memory parallelism with the Message Passing Interface (MPI). While several recent papers introduced topology-based…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-04-16 Eve Le Guillou , Michael Will , Pierre Guillou , Jonas Lukasczyk , Pierre Fortin , Christoph Garth , Julien Tierny

Applications in science and engineering often require huge computational resources for solving problems within a reasonable time frame. Parallel supercomputers provide the computational infrastructure for solving such problems. A…

Distributed, Parallel, and Cluster Computing · Computer Science 2007-05-23 Rajesh Sudarsan , Calvin J. Ribbens

Finely tuning MPI applications and understanding the influence of keyparameters (number of processes, granularity, collective operationalgorithms, virtual topology, and process placement) is critical toobtain good performance on…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-01-10 Tom Cornebize , Arnaud Legrand

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

Implementations of network protocols are often prone to vulnerabilities caused by developers' mistakes when accessing memory regions and dealing with arithmetic operations. Finding practical approaches for checking the security of network…

Cryptography and Security · Computer Science 2020-01-28 Kaled Alshmrany , Lucas Cordeiro

MiMiC is a framework for performing multiscale simulations in which loosely coupled external programs describe individual subsystems at different resolutions and levels of theory. To make it highly efficient and flexible, we adopt an…

Latency-insensitive design mitigates increasing interconnect delay and enables productive component reuse in complex digital systems. This design style has been adopted in high-level design flows because untimed functional blocks connected…

Logic in Computer Science · Computer Science 2021-02-19 Steve Dai , Alicia Klinefelter , Haoxing Ren , Rangharajan Venkatesan , Ben Keller , Nathaniel Pinckney , Brucek Khailany

Program verification is to develop the program's proof system, and to prove the proof system soundness with respect to a trusted operational semantics of the program. However, many practical program verifiers are not based on operational…

Logic in Computer Science · Computer Science 2021-02-09 ShangBei Wang

As HPC system architectures and the applications running on them continue to evolve, the MPI standard itself must evolve. The trend in current and future HPC systems toward powerful nodes with multiple CPU cores and multiple GPU…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-02-20 Hui Zhou , Ken Raffenetti , Yanfei Guo , Thomas Gillis , Robert Latham , Rajeev Thakur

Computationally-intensive loops are the primary source of parallelism in scientific applications. Such loops are often irregular and a balanced execution of their loop iterations is critical for achieving high performance. However, several…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-03-25 Ahmed Eleliemy , Florina M. Ciorba

The increasing number of processing elements and decreas- ing memory to core ratio in modern high-performance platforms makes efficient strong scaling a key requirement for numerical algorithms. In order to achieve efficient scalability on…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-01-14 Michael Lange , Gerard Gorman , Michele Weiland , Lawrence Mitchell , James Southern

HPC systems keep growing in size to meet the ever-increasing demand for performance and computational resources. Apart from increased performance, large scale systems face two challenges that hinder further growth: energy efficiency and…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-01-06 Ioannis Vardas , Manolis Ploumidis , Manolis Marazakis

Task-parallel programs often enjoy deadlock freedom under certain restrictions, such as the use of structured join operations, as in Cilk and X10, or the use of asynchronous task futures together with deadlock-avoiding policies such as…

Programming Languages · Computer Science 2021-03-04 Caleb Voss , Vivek Sarkar

This article presents the parallel implementation of the coupled harmonic oscillator. From the analytical solution of the coupled harmonic oscillator, the design parameters are obtained. After that, a numerical integration of the system…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-02-09 Anas M. Al-Oraiqat

The Circuit Localization track of the Mechanistic Interpretability Benchmark (MIB) evaluates methods for localizing circuits within large language models (LLMs), i.e., subnetworks responsible for specific task behaviors. In this work, we…

The trend towards highly parallel multi-processing is ubiquitous in all modern computer architectures, ranging from handheld devices to large-scale HPC systems; yet many applications are struggling to fully utilise the multiple levels of…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-07-19 Michael Lange , Gerard Gorman , Michele Weiland , Lawrence Mitchell , Xiaohu Guo , James Southern

For several decades, the CPU has been the standard model to use in the majority of computing. While the CPU does excel in some areas, heterogeneous computing, such as reconfigurable hardware, is showing increasing potential in areas like…

Hardware Architecture · Computer Science 2021-04-21 Carl-Johannes Johnsen , Alberte Thegler , Kenneth Skovhede , Brian Vinter

As modern analogue/mixed-signal design increasingly relies on optimization-in-the-loop flows, such as AI and LLM-based sizing agents that repeatedly invoke SPICE-efficient, accurate high-performance simulators have become an indispensable…

Hardware Architecture · Computer Science 2026-04-06 Xuanhao Bao , Danial Chitnis