This journal focuses on the performance analysis and optimization of parallel computing systems. It investigates hardware features, such as CPU microarchitectures and cache designs, and their impact on computational tasks. The scope also includes the development and application of performance models, auto-tuning techniques, and parallel programming paradigms like MPI, OpenMP, and CUDA for various scientific and machine learning workloads.
Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.
Publication & Citation Trend
Articles published
Times cited
2019
2020
2021
2022
2023
2024
2025
2026
Source: OpenAlex · Note: citations accumulate over time so older years appear higher
SJR Quartile by Discipline
Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.
Computer Graphics and Computer-Aided DesignQ2
Computer Networks and CommunicationsQ2
Hardware and ArchitectureQ2
SoftwareQ2
Artificial IntelligenceQ3
Theoretical Computer ScienceQ3
Subject Classification
Web of Science Categories
Computer Science, Theory & Methods
Scopus Categories
Computer Networks and CommunicationsComputer Graphics and Computer-Aided DesignHardware and ArchitectureSoftwareTheoretical Computer ScienceArtificial Intelligence
Research Topics (OpenAlex)
Parallel Computing and Optimization TechniquesDistributed and Parallel Computing SystemsInterconnection Networks and SystemsAdvanced Data Storage TechnologiesMatrix Theory and Algorithms