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Parallel Computing

  • ISSN: 0167-8191

Editor-In-Chief: Benoit

Next planned ship date: June 24, 2024

  • 5 Year impact factor: 1.2
  • Impact factor: 1.4

Systems & Applications Researchers interested in submitting a special issue proposal should adhere to the Submission Guideli… Read more

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Next planned ship date:
June 24, 2024

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Systems & Applications

Researchers interested in submitting a special issue proposal should adhere to the Submission Guidelines.

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

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