Journal Information
Journal of Parallel and Distributed Computing
http://www.journals.elsevier.com/journal-of-parallel-and-distributed-computing/
Impact Factor:
1.93
Publisher:
ELSEVIER
ISSN:
0743-7315
Viewed:
11989
Tracked:
34

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Call For Papers
The Journal of Parallel and Distributed Computing (JPDC) is directed to researchers, scientists, engineers, educators, managers, programmers, and users of computers who have particular interests in parallel processing and/or distributed computing. The goal of the journal is to publish in a timely manner original research, critical review articles, and relevant survey papers on the theory, design, implementation, evaluation, programming, and applications of parallel and/or distributed computing systems. The journal provides an effective forum for communication among researchers and practitioners from various scientific areas working in a wide variety of problem areas, sharing a fundamental common interest in improving the ability of parallel and distributed computer systems to solve increasing numbers of difficult and complex problems as quickly and as efficiently as possible.

The scope of the journal includes (but is not restricted to) the following topics as they relate to parallel and/or distributed computing:

• Theory of parallel and distributed computing
• Parallel algorithms and their implementation
• Innovative computer architectures
• Shared-memory multiprocessors
• Peer-to-peer systems
• Distributed sensor networks
• Pervasive computing
• Optical computing
• Software tools and environments
• Languages, compilers, and operating systems
• Fault-tolerant computing
• Applications and performance analysis
• Bioinformatics
• Cyber trust and security
• Parallel programming
• Grid computing
Last updated by Xin Yao in 2017-08-21
Special Issues
Special Issue on Exascale Applications and Software 2018
Submission Date: 2018-07-31

From large scale problems such as understanding the structure of the universe and simulating weather, to the nano scale required in designing pharmaceuticals, high performance computing enables many areas of modern science and engineering. Both simulation and the rapidly expanding field of data science are driving the HPC community towards its next milestone: exascale. An exascale computing facility is one that is capable of performing 10^18 floating point operations per second; this will be likely be in production by 2025 and will afford new insights and enable scientific discoveries that hitherto have been unreachable. While the potential system architectures are still evolving, one can safely assume that they will be largely based on complex arrangements of processing units, likely with much greater heterogeneity than we are used to today, with similarly complex deep memory hierarchies. On the software side the tools, libraries and runtimes will have to adapt to this environment, supporting millions of threads of execution and addressing concerns around reliability and the scalability of I/O systems that will likely have to move on from the now-standard POSIX model. The challenge of designing and implementing applications that will efficiently use these platforms involves developers from all levels of the software stack: applications, libraries, programming models, and system software. The aim of this special issue is to bring together developers from many different application fields and levels in the software stack to present work on the problems encountered and progress made on the road to exascale. Topics of interest include but are not limited to: - enabling and optimising applications for exascale in any area; - developing and enhancing algorithms for exascale systems; - aiding the exploitation of massively parallel systems through tools, e.g. performance analysis, debugging, development environments; - programming models and libraries for exascale; - exascale runtimes and system software; - evaluating best practice in HPC concerning large-scale facilities and application execution; - novel uses of current generation and future exascale systems; - new hardware technologies and their exploitation to solve exascale challenges.
Last updated by Dou Sun in 2017-10-16
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