IEEE T PARALL DISTR
ISSN：1045-9219 E-ISSN：— 出版商：IEEE 国家：UNITED STATES 周期：Monthly
| 收录情况 | h-index：120 CiteScore：7.60 |
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: a) 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. b) 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. c) 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. d) 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.
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