Journal of Supercomputing - Springer - Impact Factor

Journal of Supercomputing - Springer | 2024 Impact Factor:2.7 | Cite Score:7.1 | Q2

Impact Factor and Journal Rank of Supercomputing

About: Journal of Supercomputing is an international journal that publishes high-quality research on all aspects of supercomputing, including the development, application, and management of high-performance computing (HPC) systems. The journal serves as a platform for researchers, practitioners, and policymakers to share advancements and insights in the field of supercomputing.
Focus Areas: The journal covers a broad range of topics including:
High-Performance Computing Architectures
Parallel and Distributed Computing
Supercomputing Applications in Science and Engineering
Algorithm Design and Optimization for Supercomputing
Performance Evaluation and Benchmarking
HPC Systems Software and Middleware
Computational Science and Engineering
Data-Intensive Computing
Grid and Cloud Computing
Energy Efficiency in Supercomputing
Publication Impact: Journal of Supercomputing contributes significantly to the advancement of knowledge and practice in the field of supercomputing. By publishing original research, reviews, and technical papers, the journal ensures that the latest developments and practical applications are disseminated to the global community.
Peer Review Process: Articles published in the journal undergo a rigorous peer-review process to ensure high quality, relevance, and scientific rigor. This process helps maintain the journal standards and ensures that significant contributions to the field of supercomputing are published.
Significance: By providing a platform for the dissemination of innovative research in supercomputing, Journal of Supercomputing fosters innovation and collaboration. The journal interdisciplinary approach promotes the integration of diverse perspectives and methodologies, enhancing the understanding and application of supercomputing technologies.

Journal Home: Journal Homepage

Editor-in-Chief: Hamid Arabnia

Scope: The Journal of Supercomputing is a peer-reviewed publication dedicated to the rapid dissemination of research and advancements in the field of high-performance computing (HPC). It provides a forum for researchers, practitioners, and engineers to present their latest findings, innovations, and applications related to supercomputing and parallel processing. The journal covers a broad range of topics essential to the advancement of supercomputing technologies. Here is an overview of its key focus areas and scope:
1. High-Performance Computing Architectures:
Research on the design and development of advanced HPC architectures.
Studies on multicore processors, parallel and distributed systems, and specialized hardware accelerators.
Advances in scalable and energy-efficient computing architectures for supercomputing.
2. Parallel and Distributed Algorithms:
Exploration of algorithms optimized for parallel and distributed computing environments.
Research on load balancing, synchronization, and communication optimization in parallel systems.
Advances in algorithmic techniques for large-scale simulations and data processing.
3. Performance Analysis and Optimization:
Studies on methodologies and tools for analyzing and optimizing the performance of HPC applications.
Research on benchmarking, profiling, and performance modeling of supercomputing systems.
Advances in techniques for improving the scalability and efficiency of HPC applications.
4. Scientific and Engineering Applications:
Exploration of supercomputing applications in various scientific and engineering domains.
Research on computational fluid dynamics, molecular dynamics, climate modeling, and other areas leveraging HPC.
Advances in the use of supercomputing for solving complex, large-scale scientific problems.
5. Big Data and High-Performance Data Analytics:
Studies on the integration of HPC and big data technologies for high-performance data analytics.
Research on data-intensive computing, machine learning, and artificial intelligence in HPC environments.
Advances in techniques for managing and processing massive datasets using supercomputing resources.
6. Software and Programming Models:
Exploration of programming models, languages, and software tools for HPC.
Research on parallel programming paradigms, runtime systems, and compiler technologies.
Advances in software frameworks and development environments for supercomputing applications.
7. Cloud and Grid Computing:
Studies on the convergence of HPC, cloud computing, and grid computing technologies.
Research on the deployment and management of HPC applications in cloud and grid environments.
Advances in resource allocation, virtualization, and interoperability for HPC in cloud and grid infrastructures.
8. Network and Communication Technologies:
Exploration of high-speed networking and communication technologies for supercomputing.
Research on interconnects, network topologies, and communication protocols for HPC systems.
Advances in reducing communication latency and improving bandwidth utilization in supercomputing environments.
9. Storage Systems and Data Management:
Studies on storage architectures and data management strategies for HPC.
Research on file systems, data caching, and data-intensive workflows in supercomputing.
Advances in scalable and high-performance storage solutions for large-scale computing.