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PARALLEL COMPUTING Q2

期刊收录：
SCIE
Scopus

基本信息

期刊ISSN：
0167-8191
期刊简拼：
PARALLEL COMPUT
年发文章数：
32
E-ISSN：
Gold OA文章占比
40.00%
研究文章占比：
96.88%
是否OA：
No
Jcr分区：
Q2
中科院分区：
4区

出版信息

出版商：
Elsevier
涉及研究方向：
工程技术-计算机：理论方法
出版国家：
NETHERLANDS
出版语言：
English
出版周期：
Monthly
出版年份：
1984

2023-2024最新影响因子:2
自引率:0.00%
五年影响因子:1.3
JCI期刊引文指标:0.43
h-index:61
CiteScore:3.50

期刊关键词

2区 SCIE Scopus 计算机科学 4区 COMPUTER SCIENCE THEORY & METHODS 计算机：理论方法

期刊简介

Parallel Computing is an international journal presenting the practical use of parallel computer systems, including high performance architecture, system software, programming systems and tools, and applications. Within this context the journal covers all aspects of high-end parallel computing from single homogeneous or heterogenous computing nodes to large-scale multi-node systems.

Parallel Computing features original research work and review articles as well as novel or illustrative accounts of application experience with (and techniques for) the use of parallel computers. We also welcome studies reproducing prior publications that either confirm or disprove prior published results.

Particular technical areas of interest include, but are not limited to:

-System software for parallel computer systems including programming languages (new languages as well as compilation techniques), operating systems (including middleware), and resource management (scheduling and load-balancing).
-Enabling software including debuggers, performance tools, and system and numeric libraries.
-General hardware (architecture) concepts, new technologies enabling the realization of such new concepts, and details of commercially available systems
-Software engineering and productivity as it relates to parallel computing
-Applications (including scientific computing, deep learning, machine learning) or tool case studies demonstrating novel ways to achieve parallelism
-Performance measurement results on state-of-the-art systems
-Approaches to effectively utilize large-scale parallel computing including new algorithms or algorithm analysis with demonstrated relevance to real applications using existing or next generation parallel computer architectures.
-Parallel I/O systems both hardware and software
-Networking technology for support of high-speed computing demonstrating the impact of high-speed computation on parallel applications

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期刊简写：PARALLEL COMPUT

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