Parallel, Distributed, and Network-Based Processing has undergone impressive change over recent years. New architectures and applications have rapidly become the central focus of the discipline. These changes are often a result of cross-fertilisation of parallel and distributed technologies with other rapidly evolving technologies. It is of paramount importance to review and assess these new developments in comparison with recent research achievements in the well-established areas of parallel and distributed computing, from industry and the scientific community.Topics of interest include, but are not restricted to:
- Parallel Computing: massively parallel machines; embedded parallel and distributed systems; multi- and many-core systems; GPU and FPGA based parallel systems; parallel I/O; memory organisation.
- Distributed and Network-based Computing: Cluster, Grid, Web and Cloud computing; mobile computing; interconnection networks.
- Big Data: large scale data processing; distributed databases and archives; large scale data management; metadata; data intensive applications.
- Programming models and Tools: programming languages and environments; runtime support systems; performance prediction and analysis; simulation of parallel and distributed systems.
- Systems and Architectures: novel system architectures; high data throughput architectures; service-oriented architectures; heterogeneous systems; shared-memory and message-passing systems; middleware and distributed operating systems; dependability and survivability; resource management.
- Advanced Algorithms and Applications: distributed algorithms; multi-disciplinary applications; computations over irregular domains; numerical applications with multi-level parallelism; real-time distributed applications.
Diego R. Llanos (Lead Guest Editor), Professor at the University of Valladolid, Spain (email@example.com)
Dora B. Heras, Associate Professor at the University of Santiago de Compostela, Spain (firstname.lastname@example.org).
Deadline for paper submission: April 1st, 2021Notification: June 30th, 2021Revision submission: July 30th, 2021Final notification: October 1st, 2021
Authors of accepted papers at PDP 2021 will be invited to submit an extended version of their paper. In addition, any other high quality submission that fits the topics of this special issue is welcome.
All invited papers will be subjected to the same rigorous review process as the regular submissions to this special issue. Submitted articles must not have been previously published or currently submitted for publication elsewhere. For work that has been published previously in a workshop or conference, it is required that submissions to the special issue have at least 30% new content.
All submitted manuscripts must be formatted according to Computing’s instructions for authors which are available at https://www.springer.com/journal/607/submission-guidelines. We will only accept LaTeX manuscripts which must use Springer templates.
Manuscript length: Please note that the page limit for Special Issue submissions differs from that of regular Computing submissions. Manuscripts submitted to the Special Issue should not exceed 19 pages. Submissions that do not comply with this requirement are likely to be desk rejected without being reviewed.
Submission instruction: Manuscripts should be submitted using the online submission system at (https://www.editorialmanager.com/comp/default.aspx).
Authors should select ‘Parallel and Distributed Processing’ during the submission step ‘Additional Information’.