International Journal of Parallel Programming
Published by Springer Nature
ISSN : 0885-7458
Abbreviation : Int. J. Parallel Program.
Aims & Scope
International Journal of Parallel Programming is a forum for the publication of peer-reviewed, high-quality original papers in the computer and information sciences, focusing specifically on programming aspects of 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: linguistic foundations, conceptual frameworks, high-level languages, evaluation methods, implementation techniques, programming support systems, pragmatic considerations, architectural characteristics, software engineering aspects, advances in parallel algorithms, performance studies, and application studies.
View Aims & ScopeMetrics & Ranking
SJR (SCImago Journal Rank)
Year | Value |
---|---|
2024 | 0.348 |
Quartile
Year | Value |
---|---|
2024 | Q3 |
h-index
Year | Value |
---|---|
2024 | 41 |
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science and Mathematics, designed to support cutting-edge academic discovery.
Most Cited Articles
The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.
-
Some efficient solutions to the affine scheduling problem. I. One-dimensional time
Citation: 334
Authors: Paul
-
Some efficient solutions to the affine scheduling problem. Part II. Multidimensional time
Citation: 225
Authors: Paul
-
Task-Based System Load Balancing in Cloud Computing Using Particle Swarm Optimization
Citation: 197
Authors: Fahimeh, Jie, Farookh Khadeer
-
Milepost GCC: Machine Learning Enabled Self-tuning Compiler
Citation: 151
Authors: Grigori, Yuriy, Abdul Wahid, Zbigniew, Olivier, Mircea, Elad, Bilha, Ayal, Eric, Francois, Phil, Elton, Edwin, John, Christopher K. I., Michael
-
High Performance RDMA-Based MPI Implementation over InfiniBand
Citation: 151
Authors: Jiuxing, Jiesheng, Dhabaleswar K.
-
Semi-Automatic Composition of Loop Transformations for Deep Parallelism and Memory Hierarchies
Citation: 150
Authors: Sylvain, Nicolas, Cédric, Albert, David, Marc, Olivier