中文簡(jiǎn)介

并行和分布式系統(tǒng)（TPD）的IEEETransactions每月出版一次。它發(fā)表了一系列的論文，對(duì)以前發(fā)表的論文發(fā)表了評(píng)論，并對(duì)涉及并行和分布式系統(tǒng)研究領(lǐng)域的文章進(jìn)行了調(diào)查，這些研究領(lǐng)域?qū)ξ覀兊淖x者來(lái)說(shuō)非常重要。特別關(guān)注的領(lǐng)域包括但不限于：并行和分布式算法，側(cè)重于以下主題：計(jì)算模型；數(shù)字、組合和數(shù)據(jù)密集型并行算法；并行和分布式系統(tǒng)的算法和數(shù)據(jù)結(jié)構(gòu)的可擴(kuò)展性；通信和同步協(xié)議、網(wǎng)絡(luò)算法、調(diào)度和負(fù)載平衡。并行和分布式計(jì)算的應(yīng)用，包括計(jì)算和數(shù)據(jù)支持科學(xué)與工程、大數(shù)據(jù)應(yīng)用、并行眾包、大規(guī)模社會(huì)網(wǎng)絡(luò)分析、大數(shù)據(jù)管理、云和網(wǎng)格計(jì)算、科學(xué)和生物醫(yī)學(xué)應(yīng)用、移動(dòng)計(jì)算和網(wǎng)絡(luò)物理系統(tǒng)。并行和分布式體系結(jié)構(gòu)，包括用于指令級(jí)和線程級(jí)并行的體系結(jié)構(gòu)；多處理器系統(tǒng)的設(shè)計(jì)、分析、實(shí)現(xiàn)、故障恢復(fù)能力和性能測(cè)量；多核處理器、異構(gòu)多核系統(tǒng)；小型和外部系統(tǒng)設(shè)計(jì)；新型大數(shù)據(jù)體系結(jié)構(gòu)；特殊用途體系結(jié)構(gòu)；包括圖形處理器、信號(hào)處理器、網(wǎng)絡(luò)處理器、媒體加速器以及其他特殊用途處理器和加速器；技術(shù)對(duì)體系結(jié)構(gòu)的影響；網(wǎng)絡(luò)和互連體系結(jié)構(gòu)；并行i/o和存儲(chǔ)系統(tǒng)；內(nèi)存層次結(jié)構(gòu)；節(jié)能和綠色計(jì)算體系結(jié)構(gòu)；可依賴的體系結(jié)構(gòu)；以及性能建模和評(píng)估。并行和分布式軟件，包括并行和多核編程語(yǔ)言和編譯器、運(yùn)行時(shí)系統(tǒng)、操作系統(tǒng)、互聯(lián)網(wǎng)計(jì)算和Web服務(wù)、資源管理（包括綠色計(jì)算）、網(wǎng)格、云和數(shù)據(jù)中心中間件、庫(kù)、性能建模和評(píng)估、并行編程范例以及編程環(huán)境和工具。

投稿網(wǎng)址：https://mc.manuscriptcentral.com/tpds-cs

英文簡(jiǎn)介

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.