并行和分布式系统（TPD）的IEEETransactions每月出版一次。它发表了一系列的论文，对以前发表的论文发表了评论，并对涉及并行和分布式系统研究领域的文章进行了调查，这些研究领域对我们的读者来说非常重要。特别关注的领域包括但不限于：并行和分布式算法，侧重于以下主题：计算模型；数字、组合和数据密集型并行算法；并行和分布式系统的算法和数据结构的可扩展性；通信和同步协议、网络算法、调度和负载平衡。并行和分布式计算的应用，包括计算和数据支持科学与工程、大数据应用、并行众包、大规模社会网络分析、大数据管理、云和网格计算、科学和生物医学应用、移动计算和网络物理系统。并行和分布式体系结构，包括用于指令级和线程级并行的体系结构；多处理器系统的设计、分析、实现、故障恢复能力和性能测量；多核处理器、异构多核系统；小型和外部系统设计；新型大数据体系结构；特殊用途体系结构；包括图形处理器、信号处理器、网络处理器、媒体加速器以及其他特殊用途处理器和加速器；技术对体系结构的影响；网络和互连体系结构；并行i/o和存储系统；内存层次结构；节能和绿色计算体系结构；可依赖的体系结构；以及性能建模和评估。并行和分布式软件，包括并行和多核编程语言和编译器、运行时系统、操作系统、互联网计算和Web服务、资源管理（包括绿色计算）、网格、云和数据中心中间件、库、性能建模和评估、并行编程范例以及编程环境和工具。
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IEEE Transactions on Parallel and Distributed Systems (TPDS) is published monthly. It publishes a range of papers, comments on previously published papers, and survey articles that deal with the parallel and distributed systems research areas of current importance to our readers. Particular areas of interest include, but are not limited to:Parallel and distributed algorithms, focusing on topics such as: models of computation; numerical, combinatorial, and data-intensive parallel algorithms, scalability of algorithms and data structures for parallel and distributed systems, communication and synchronization protocols, network algorithms, scheduling, and load balancing.Applications of parallel and distributed computing, including computational and data-enabled science and engineering, big data applications, parallel crowd sourcing, large-scale social network analysis, management of big data, cloud and grid computing, scientific and biomedical applications, mobile computing, and cyber-physical systems.Parallel and distributed architectures, including architectures for instruction-level and thread-level parallelism; design, analysis, implementation, fault resilience and performance measurements of multiple-processor systems; multicore processors, heterogeneous many-core systems; petascale and exascale systems designs; novel big data architectures; special purpose architectures, including graphics processors, signal processors, network processors, media accelerators, and other special purpose processors and accelerators; impact of technology on architecture; network and interconnect architectures; parallel I/O and storage systems; architecture of the memory hierarchy; power-efficient and green computing architectures; dependable architectures; and performance modeling and evaluation.Parallel and distributed software, including parallel and multicore programming languages and compilers, runtime systems, operating systems, Internet computing and web services, resource management including green computing, middleware for grids, clouds, and data centers, libraries, performance modeling and evaluation, parallel programming paradigms, and programming environments and tools.
