Journal Information

International Journal of Parallel Programming

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Impact Factor:
0.9
Publisher:
Springer
ISSN:
0885-7458
Viewed:
20204
Tracked:
7

Call For Papers

International Journal of Parallel Programming is an academic journal published by Springer. (ISSN 0885-7458, impact factor 0.9).

Aims and scope International Journal of Parallel Programming, one of the oldest journals in the field, published continuously for over 25 years, is a forum for the publication of peer-reviewed, high-quality original papers in computer science, focusing specifically on parallel computing systems. Such systems are characterized by the coexistence over time of multiple coordinated activities. The journal publishes both original research and survey papers. Fields of interest include: embedded systems to high performance supercomputing, high-level languages, optimizations, parallel and distributed systems, programming support systems, pragmatic considerations, architectural characteristics, software engineering aspects, advances in parallel algorithms, performance studies, and application studies that significantly advance the state of the art.
Last updated by Dou Sun on

Special Issues

Special Issue on High-Productivity Programming Systems for HPC Applications Submission Date: 2026-08-30 In the ever-evolving world of computing, the line between software and hardware has become increasingly larger. As we push the boundaries of what is possible with technology, the need for high-productivity programming solutions that can harness the power of modern hardware has never been more critical. This Special Issue (SI) aims to bring points of discussion into the High Performance Computing (HPC) and scientific community about key issues on finding a compromise between high levels of abstraction (programming productivity) and meeting the challenges of performance, power consumption, and fault tolerance. This SI addresses the recent experiences in programming languages/models design for exa-scale computing systems, which can contribute to the problem of programming complex HPC systems in a productive, efficient, and reliable way. This SI provides a great opportunity for the HPC community to present new approaches for exploiting the massive parallelism that is provided by the abundance of different kinds of parallelism in today’s and future HPC systems. Besides the conventional use for coarse or fine-grain parallelism in applications, our scope is to explore new approaches that enable future software systems to become more self-aware, reasoning about its internal state, and making decisions to prioritize changes in the execution of applications when necessary, putting the focus on areas such as performance tuning and power management. https://link.springer.com/collections/gjbahhgcea
Last updated by Dou Sun on

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