Academic Journal
Q2Parallel Computing
About Parallel Computing
Parallel Computing is a scholarly journal published by Elsevier B.V.. SCImago 2025 lists it in Q2, with an SJR of 0.422 and H-index of 74.
Coverage: 1984-2026. Research categories: Computer Graphics and Computer-Aided Design (Q2); Computer Networks and Communications (Q2); Artificial Intelligence (Q3); Hardware and Architecture (Q3); Software (Q3); Theoretical Computer Science (Q3).
Source-backed journal facts
Topics in published research
Parallel Computing and Optimization Techniques; Distributed and Parallel Computing Systems; Interconnection Networks and Systems; Advanced Data Storage Technologies; Matrix Theory and Algorithms; Human auditory perception and evaluation.
OpenAlex classifies topics from published works. These topics are not the publisher’s official aims and scope.
Reported open-access list prices
2,870.00 USD; 2,680.00 EUR; 2,300.00 GBP; 355,970.00 JPY
APC list prices reported by OpenAlex, which obtains this information from DOAJ. Confirm current charges, taxes, waivers and eligibility with the publisher; this is not a fee quotation.
Source: OpenAlex source record. Retrieved 2026-10-03. Source record updated 2026-10-02. OpenAlex metrics are different from SCImago metrics and the Clarivate Journal Impact Factor.
Journal Metrics
Quartile, SJR and the listed SCImago H-index use the 2025 imported SCImago dataset. A quartile may vary by subject category. Values without a source or reporting year are unverified historical entries. Verify the current Journal Impact Factor with Clarivate or the publisher before using it.
Aims & Scope
The publisher’s official aims and scope have not yet been verified for this profile. Use the journal website to check subject fit and accepted article types before submitting.
Recent Research Articles
Latest publications matched automatically by ISSN.
VQhull: A fast planar Quickhull
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Siyuan Sun, Zhaojia Wang, Hanshuo Liu, Jiehan Zhou et al.
2026-12 · DOI: 10.1016/j.parco.2026.103216Improving cellular automata performance with bit-planes encoding and bitwise vectorization
Matyáš Brabec, Jiří Klepl, Martin Kruliš
2026-12 · DOI: 10.1016/j.parco.2026.103226Performance evaluation of the OpenACC API targeting multi-GPU data transfers: A case study of porting parallel 3D sweeping algorithms for geological folding
Ezhilmathi Krishnasamy, James D. Trotter, Xing Cai, Pascal Bouvry et al.
2026-12 · DOI: 10.1016/j.parco.2026.103217TC-SparIG: A High-Performance Sparse Convolution Accelerator by eliminating redundant computation
Tianfu Yu, Xiaohua Shi, Jing Jiang
2026-12 · DOI: 10.1016/j.parco.2026.103214A comprehensive survey on multi-GPU systems
Atiyeh Gheibi-Fetrat, Arad Maleki, Sahand Zoufan, Masoud Mohammadi-Lak et al.
2026-09 · DOI: 10.1016/j.parco.2026.103208Tuned your MPI library? Now check the performance guidelines
Sascha Hunold, Jesper Larsson Träff, Ruben Laso
2026-09 · DOI: 10.1016/j.parco.2026.103205A critical-warp and cache-locality-aware warp scheduling policy for GPGPU
Juan Fang, Yubin He, Jingming Guo
2026-09 · DOI: 10.1016/j.parco.2026.103213Optimizing MPI collective operations for intra-node shared memory exploitation and oversubscription
Gladys Utrera, J. Mark Bull
2026-09 · DOI: 10.1016/j.parco.2026.103207A reinforcement learning approach to prioritized workflow scheduling for cloud load balancing
Sanjay Gupta, Sarsij Tripathi
2026-09 · DOI: 10.1016/j.parco.2026.103210A multi-threaded planning technique with combined paths approach for unmanned aerial vehicles
Selcuk Aslan
2026-09 · DOI: 10.1016/j.parco.2026.103209Energy-aware scheduling strategies for partially-replicable task chains on heterogeneous processors
Yacine Idouar, Adrien Cassagne, Laércio L. Pilla, Julien Sopena et al.
2026-09 · DOI: 10.1016/j.parco.2026.103206Editorial Board
2026-09 · DOI: 10.1016/s0167-8191(26)00039-6Parallel Simulated Annealing metaheuristic for the Heterogenous On-Demand Bus Routing Problem
Michell Queiroz, Kenneth Sörensen
2026-09 · DOI: 10.1016/j.parco.2026.103212OKEAP: A framework for OpenCL kernels execution time prediction with adaptive machine learning techniques
Vladyslav Hamolia, Viktor Melnyk
2026-09 · DOI: 10.1016/j.parco.2026.103211Editorial Board
2026-06 · DOI: 10.1016/s0167-8191(26)00019-0A survey of parallel computing frameworks and optimizations for AI and deep learning
Mohamed Nazih Omri
2026-06 · DOI: 10.1016/j.parco.2026.103196Random sketching to enhance the numerical stability of block orthogonalization algorithms for s-step GMRES
Ichitaro Yamazaki, Andrew J. Higgins, Erik G. Boman, Daniel B. Szyld et al.
2026-06 · DOI: 10.1016/j.parco.2026.103197ShyLU-node: On-node scalable solvers and preconditioners: Recent progress and current performance
Ichitaro Yamazaki, Nathan Ellingwood, Sivasankaran Rajamanickam
2026-06 · DOI: 10.1016/j.parco.2026.103194Evaluating SYCL as a unified programming model for heterogeneous systems
Ami Marowka
2026-06 · DOI: 10.1016/j.parco.2026.103195Reviews
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Version History
October 4, 2026 at 9:22 pm
October 2, 2026