Journal Title：Parallel Computing

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

Parallel Computing 是一本介绍并行计算机系统实际应用的国际期刊，包括高性能架构、系统软件、编程系统和工具以及应用程序。在此背景下，该期刊涵盖了从单一同构或异构计算节点到大规模多节点系统的高端并行计算的所有方面。

并行计算的特色是原创研究工作和评论文章，以及关于使用并行计算机的应用经验（和技术）的新颖或说明性说明。我们也欢迎复制先前出版物的研究，以证实或反驳先前发表的结果。

感兴趣的特定技术领域包括但不限于：

-用于并行计算机系统的系统软件，包括编程语言（新语言和编译技术）、操作系统（包括中间件）和资源管理（调度和负载平衡）。

-启用软件，包括调试器、性能工具以及系统和数值库。

-通用硬件（架构）概念、实现这些新概念的新技术以及商用系统的细节

-与并行计算相关的软件工程和生产力

-应用程序（包括科学计算、深度学习、机器学习）或工具案例研究展示了实现并行性的新方法

-最先进系统的性能测量结果

-有效利用大规模并行计算的方法，包括使用现有或下一代并行计算机架构与实际应用相关的新算法或算法分析。

-硬件和软件的并行 I/O 系统

-支持高速计算的网络技术展示了高速计算对并行应用程序的影响