High Performance Computing Applications - Impact Factor

International Journal of High Performance Computing Applications - SAGE | 2024 Impact Factor:2.5 | Cite Score:7.4 | Q1

International Journal of High Performance Computing Applications - SAGE - Impact Factor

Impact Factor and Journal Rank of International Journal of High Performance Computing Applications

About: The International Journal of High Performance Computing Applications provides a forum to focus on communications of original research papers and timely review articles on the use of supercomputers to solve complex modeling problems in a spectrum of disciplines.
Significance:
Target Audience: The journal serves researchers, practitioners, and professionals interested in high-performance computing (HPC) applications across various disciplines. This includes scientists, engineers, computational experts, and decision-makers utilizing supercomputers for complex modeling problems.
Scope: It offers a lively forum for the communication of original peer-reviewed research papers and timely review articles. Topics covered include advancements in HPC architectures, methodologies, algorithms, and applications across diverse scientific and engineering disciplines.
Technical Focus: The journal emphasizes the application of supercomputers to solve complex modeling problems. It covers a broad spectrum of disciplines, fostering discussions on computational techniques, simulation methodologies, and innovative approaches leveraging HPC.
Research and Development: Authors are encouraged to submit original research papers and review articles that highlight novel applications of supercomputing technologies. The journal facilitates discussions on advancements in HPC systems, performance optimization, parallel computing, and scalable algorithms.
Submission Guidelines:
Types of Articles: The International Journal of High Performance Computing Applications welcomes original research papers and timely review articles. Submissions should present innovative approaches, significant findings, and practical applications of supercomputers in solving complex modeling problems.
Manuscript Preparation: Authors should provide comprehensive details of methodologies, computational models, and experimental results. The journal emphasizes clarity, technical rigor, and relevance in presenting contributions that advance the field of high-performance computing.
Impact and Contributions:
The International Journal of High Performance Computing Applications plays a crucial role in advancing the understanding and application of supercomputing technologies across disciplines. By providing a platform for rigorous research and scholarly discussions, the journal facilitates the dissemination of cutting-edge developments in HPC applications.

Journal Home: Journal Homepage

Editor-in-Chief: Jack J. Dongarra

Scope: The International Journal of High Performance Computing Applications serves as a prominent forum for original research papers and timely review articles focused on the application of supercomputers to address complex modeling problems across various disciplines. The journal provides a platform for researchers and practitioners to communicate cutting-edge advancements and methodologies in high-performance computing (HPC) applications.
Sample Topic Areas Include:
Supercomputing Applications: Original research leveraging supercomputers for complex modeling and simulations.
Multi-disciplinary Modeling: Applications spanning diverse fields such as physics, chemistry, engineering, biology, and more.
Parallel and Distributed Computing: Techniques and algorithms for parallel processing and distributed computing environments.
Performance Optimization: Strategies to enhance computational efficiency and scalability on supercomputing platforms.
High-Performance Data Analytics: Methods for large-scale data processing and analytics using HPC systems.
Artificial Intelligence and Machine Learning: Applications integrating AI/ML algorithms with supercomputing capabilities.
Visualization and Data Interpretation: Tools and methodologies for visualizing and interpreting results from HPC simulations.
Algorithm Development: Novel algorithms designed for optimal performance on supercomputing architectures.
Case Studies and Applications: Real-world applications and case studies demonstrating the impact of HPC on scientific and industrial challenges.