IEEE Transactions on Parallel and Distributed Systems

IEEE Transactions on Parallel and Distributed Systems
Title	IEEE Transactions on Parallel and Distributed Systems
Discipline	Computer Science
Publisher	IEEE Computer Society
Frequency	Monthly
History	1990–present
Issn	1045-9219

Contents

IEEE Transactions on Parallel and Distributed Systems is a peer-reviewed scientific journal published by the Institute of Electrical and Electronics Engineers IEEE Computer Society that focuses on research in parallel computation and distributed systems. The journal serves as a venue for advances relevant to architectures, algorithms, and applications, attracting authors and readers from institutions such as Massachusetts Institute of Technology, Stanford University, University of California, Berkeley, Carnegie Mellon University, and University of Illinois Urbana–Champaign. Contributors and readers include researchers affiliated with organizations like Microsoft Research, Google Research, Facebook AI Research, IBM Research, and national laboratories such as Sandia National Laboratories and Lawrence Berkeley National Laboratory.

History

The journal emerged during a period of rapid growth in high-performance computing associated with projects at Los Alamos National Laboratory, Oak Ridge National Laboratory, and initiatives like the Human Genome Project that demanded scalable computation. Its formation reflected trends traced to pioneering work at institutions such as Bell Labs, Xerox PARC, ETH Zurich, University of Cambridge, and the University of Tokyo. Early editorial leadership included scholars from University of Maryland, College Park, Princeton University, Columbia University, and Cornell University, connecting to conferences such as Supercomputing Conference and International Conference on Parallel Processing. Over time the journal paralleled developments driven by architectures from Intel Corporation, Advanced Micro Devices, NVIDIA, and consortia like OpenMP Architecture Review Board and Message Passing Interface Forum.

The journal covers topics spanning theoretical and systems research relevant to platforms produced by IBM, Cray Research, Hewlett-Packard, and emerging cloud providers such as Amazon Web Services, Microsoft Azure, and Google Cloud Platform. Typical themes include parallel algorithms influenced by work from Donald Knuth and Richard Karp, distributed algorithms linked to contributions by Leslie Lamport, and fault-tolerance inspired by research at Bell Labs and AT&T Research. The scope embraces multicore and manycore processor research rooted in projects at Intel Labs and ARM Holdings, distributed storage systems related to innovations at Dropbox, NetApp, and EMC Corporation, as well as networking advances tied to Cisco Systems and standards bodies like Internet Engineering Task Force. Cross-disciplinary applications draw from collaborations with teams at National Institutes of Health, NASA, European Organization for Nuclear Research, and companies such as Toyota and Siemens.

The editorial board typically comprises editors and associate editors from universities like University of Oxford, University of Cambridge, Tsinghua University, Peking University, University of Toronto, and research labs including Bell Labs, Xerox PARC, and AT&T Labs Research. Peer review follows standards comparable to journals overseen by the Association for Computing Machinery and editorial practices informed by guidelines from Committee on Publication Ethics. Reviewers are often authors associated with conferences such as ACM Symposium on Operating Systems Principles, USENIX Symposium on Operating Systems Design and Implementation, ACM/IEEE International Symposium on Computer Architecture, and International Conference on Distributed Computing Systems. Special issues sometimes feature guest editors from centers like Simons Institute for the Theory of Computing and initiatives linked to European Research Council grants.

Published on a monthly schedule by the IEEE Computer Society, the journal distributes print and electronic editions to subscribers and libraries at institutions such as Harvard University, Yale University, Oxford University Press subscribers, and national libraries including the Library of Congress. Access models reflect broader shifts seen at publishers like Elsevier and Springer Nature toward hybrid open access and subscription frameworks; authors affiliated with funding bodies such as the National Science Foundation, European Commission, and Wellcome Trust may select open-access options. Indexing and archiving practices align with services such as IEEE Xplore, Scopus, Web of Science, and library consortia including OCLC.

The journal is recognized alongside venues such as Journal of the ACM, ACM Transactions on Computer Systems, and IEEE Transactions on Computers for publishing influential work in parallel and distributed computing. Citation metrics and impact factors reported by indexing services reflect contributions cited in major projects at Google, Facebook, Amazon, and in standards work by groups like the IETF and Open Grid Forum. Reviews and retrospective analyses in outlets linked to Communications of the ACM and reports from research centers including MIT Computer Science and Artificial Intelligence Laboratory and Max Planck Institute for Software Systems discuss the journal's role in shaping topics such as cloud computing, edge computing, and exascale systems developed by initiatives at Argonne National Laboratory and the Exascale Computing Project.

The journal has published papers that influenced systems and algorithms employed in projects at Google, Microsoft, Netflix, and in scientific computing at Los Alamos National Laboratory and CERN. Notable contributions include work that built on foundational results by Edsger Dijkstra, Stephen Cook, John Hopcroft, and Michael Rabin, and practical systems research informing technologies from NVIDIA GPU programming to distributed databases adopted by Oracle Corporation and SAP SE. Follow-on developments tied to articles have been cited in standards, patents filed by IBM, Intel, and Samsung, and in award-winning research recognized by institutions like the Association for Computing Machinery and the IEEE Computer Society Awards.

Category:Computer science journals