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Computer simulation platforms offer an alternative solution by emulating complex systems in a controlled manner. However, existing Edge Computing (EC) simulators, as well as general-purpose vehicular network simulators, are not tailored for…

Networking and Internet Architecture · Computer Science 2025-01-07 Fan Wu , Xiaolong Xu , Muhammad Bilal , Xiangwei Wang , Hao Cheng , Siyu Wu

The overall problem addressed in this paper is the long-standing problem of program correctness, and in particular programs that describe systems of parallel executing processes. We propose a new method for proving correctness of parallel…

Programming Languages · Computer Science 2023-02-10 Frank S. de Boer , Einar Broch Johnsen , Violet Ka I Pun , Silvia Lizeth Tapia Tarifa

Predicting the number of clock cycles a processor takes to execute a block of assembly instructions in steady state (the throughput) is important for both compiler designers and performance engineers. Building an analytical model to do so…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-05-31 Charith Mendis , Alex Renda , Saman Amarasinghe , Michael Carbin

An Efficient Simulation of application specific instruction-set processors (ASIP) is a challenging onus in the area of VLSI design. This paper reconnoiters the possibility of use of ASIP simulators for ASIP Simulation. This proposed study…

Hardware Architecture · Computer Science 2014-06-20 Ravi Khatwal , Manoj Kumar Jain

The growing demand for edge computing and AI drives research into analog in-memory computing using memristors, which overcome data movement bottlenecks by computing directly within memory. However, device failures and variations critically…

Emerging Technologies · Computer Science 2025-07-16 Zhicheng Xu , Jiawei Liu , Sitao Huang , Zefan Li , Shengbo Wang , Bo Wen , Ruibin Mao , Mingrui Jiang , Giacomo Pedretti , Jim Ignowski , Kaibin Huang , Can Li

Parallel input performance issues are often neglected in large scale parallel applications in Computational Science and Engineering. Traditionally, there has been less focus on input performance because either input sizes are small (as in…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-12-02 Mathew Jacob , Maya Taylor , Laxmikant Kale

Emerging Deep Learning (DL) applications introduce heavy I/O workloads on computer clusters. The inherent long lasting, repeated, and random file access pattern can easily saturate the metadata and data service and negatively impact other…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-10-01 Zhao Zhang , Lei Huang , Uri Manor , Linjing Fang , Gabriele Merlo , Craig Michoski , John Cazes , Niall Gaffney

Quantum computers promise to solve certain problems more efficiently than their digital counterparts. A major challenge towards practically useful quantum computing is characterizing and reducing the various errors that accumulate during an…

Input/Output (I/O) performance is one of the key areas that need to be carefully examined to better support IT services. With the rapid development and deployment of virtualization technology, many essential business applications have been…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-02-18 T. Mirzoev , B. Yang , M. Davis , T. Williams

In industrial practice, requirements are an indispensable element of any serious software project. In the academic study of software engineering, requirements are one of the heavily researched subjects. And yet requirements engineering, as…

Software Engineering · Computer Science 2025-02-28 Maria Naumcheva , Sophie Ebersold , Jean-Michel Bruel , Bertrand Meyer

Soft error of exascale application is a challenge problem in modern HPC. In order to quantify an application's resilience and vulnerability, the application-level fault injection method is widely adopted by HPC users. However, it is not…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-08-06 Kai Wu , Qiang Guan , Nathan DeBardeleben , Dong Li

Discrete Event Simulation is a widely used technique that is used to model and analyze complex systems in many fields of science and engineering. The increasingly large size of simulation models poses a serious computational challenge,…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-12-30 Gabriele D'Angelo , Stefano Ferretti , Moreno Marzolla , Lorenzo Armaroli

In-memory computing is an emerging non-von Neumann computing paradigm where certain computational tasks are performed in memory by exploiting the physical attributes of the memory devices. Memristive devices such as phase-change memory…

Emerging Technologies · Computer Science 2020-04-08 Anastasios Petropoulos , Irem Boybat , Manuel Le Gallo , Evangelos Eleftheriou , Abu Sebastian , Theodore Antonakopoulos

Offline runtime verification involves the static analysis of executions of a system against a specification. For distributed systems, it is generally not possible to characterize executions in the form of global traces, given the absence of…

Software Engineering · Computer Science 2024-03-06 Erwan Mahe , Boutheina Bannour , Christophe Gaston , Arnault Lapitre , Pascale Le Gall

High Performance Compute (HPC) clusters often produce intermediate files as part of code execution and message passing is not always possible to supply data to these cluster jobs. In these cases, I/O goes back to central distributed storage…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-12-07 Gabryel Mason-Williams , Dave Bond , Mark Basham

Like other engineering disciplines, software engineering should also have principles to guide the construction of sustainable computer applications. Tangible properties include a) unlimited scalability, b) maximal reproducibility, and c)…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-07-23 Justin Shi

Most parallel applications suffer from load imbalance, a crucial performance degradation factor. In particle simulations, this is mainly due to the migration of particles between processing elements, which eventually gather unevenly and…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-08-26 Anthony Boulmier , Nabil Abdennadher , Bastien Chopard

In recent years, due to a higher demand for portable devices, which provide restricted amounts of processing capacity and battery power, the need for energy and time efficient hard- and software solutions has increased. Preliminary…

Image and Video Processing · Electrical Eng. & Systems 2022-03-04 Christian Herglotz , Jürgen Seiler , André Kaup , Arne Hendricks , Marc Reichenbach , Dietmar Fey

To mitigate the ever worsening "Power wall" and "Memory wall" problems, multi-core architectures with multilevel cache hierarchies have been widely accepted in modern processors. However, the complexity of the architectures makes modeling…

Hardware Architecture · Computer Science 2020-10-20 Ming Ling , Xiaoqian Lu , Guangmin Wang , Jiancong Ge

Graphical simulations are a cornerstone of modern media and films. But existing software packages are designed to run on HPC nodes, and perform poorly in the computing cloud. These simulations have complex data access patterns over complex…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-06-08 Omid Mashayekhi , Chinmayee Shah , Hang Qu , Andrew Lim , Philip Levis
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