并行计算语言的综合探索

Federico Ciccozzi, Lorenzo Addazi, Sara Abbaspour Asadollah, B. Lisper, A. Masud, S. Mubeen
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引用次数: 6

摘要

从自动驾驶汽车到医疗保健,大多数领域的软件密集型系统正变得主要是并行的,以便在短时间(甚至是实时)内有效地管理大量数据。关于并行计算语言的文献非常丰富,因此对于研究人员和实践者来说,即使是在这个领域有经验的人,也很难掌握它们。通过这项工作,我们为这些语言提供了一个全面、结构化和详细的文档研究快照,以确定趋势、技术特征、开放的挑战和研究方向。在本文中,我们报告了我们系统的同行评审和灰色文献综述的计划、执行和结果,旨在通过分析225项研究提供这样一个快照。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Comprehensive Exploration of Languages for Parallel Computing
Software-intensive systems in most domains, from autonomous vehicles to health, are becoming predominantly parallel to efficiently manage large amount of data in short (even real-) time. There is an incredibly rich literature on languages for parallel computing, thus it is difficult for researchers and practitioners, even experienced in this very field, to get a grasp on them. With this work we provide a comprehensive, structured, and detailed snapshot of documented research on those languages to identify trends, technical characteristics, open challenges, and research directions. In this article, we report on planning, execution, and results of our systematic peer-reviewed as well as grey literature review, which aimed at providing such a snapshot by analysing 225 studies.
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