Special issue on advances in techniques for assessment performance portability of HPC applications

IF 6.2 2区计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS

Future Generation Computer Systems-The International Journal of Escience Pub Date : 2025-04-26 DOI:10.1016/j.future.2025.107876

Ami Marowka, Przemysław Stpiczyński, Roman Wyrzykowski

引用次数: 0

Abstract

This special issue aims to present new developments and advances in techniques for assessment performance portability of high performance computing applications. It contains revised and extended versions of selected papers presented at the 10th Workshop on Language-Based Parallel Programming Models, WLPP 2024, which was a part of 15th International Conference on Parallel Processing and Applied Mathematics, PPAM 2024, held on September 8–11, 2024, in Ostrava, Czech Republic.

查看原文本刊更多论文

关于高性能计算应用程序性能可移植性评估技术进展的特刊

本期特刊旨在介绍高性能计算应用程序的性能可移植性评估技术的新发展和进展。它包含了在第10届基于语言的并行编程模型研讨会（WLPP 2024）上发表的选定论文的修订和扩展版本，该研讨会是第15届并行处理和应用数学国际会议（PPAM 2024）的一部分，该会议于2024年9月8日至11日在捷克共和国奥斯特拉发举行。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Future Generation Computer Systems-The International Journal of Escience 工程技术-计算机：理论方法

CiteScore

19.90

自引率

2.70%

发文量

376

审稿时长

10.6 months

期刊介绍： Computing infrastructures and systems are constantly evolving, resulting in increasingly complex and collaborative scientific applications. To cope with these advancements, there is a growing need for collaborative tools that can effectively map, control, and execute these applications. Furthermore, with the explosion of Big Data, there is a requirement for innovative methods and infrastructures to collect, analyze, and derive meaningful insights from the vast amount of data generated. This necessitates the integration of computational and storage capabilities, databases, sensors, and human collaboration. Future Generation Computer Systems aims to pioneer advancements in distributed systems, collaborative environments, high-performance computing, and Big Data analytics. It strives to stay at the forefront of developments in grids, clouds, and the Internet of Things (IoT) to effectively address the challenges posed by these wide-area, fully distributed sensing and computing systems.