International Journal of High Performance Systems Architecture Inderscience Publishers Impact Factor

International Journal of High Performance Systems Architecture - Inderscience | 2024 Cite Score:2.1 | Q4

International Journal of High Performance Systems Architecture With Cite Score

Cite Score and Journal Rank of International Journal of High Performance Systems Architecture

About: International Journal of High Performance Systems Architecture (IJHPSA) is a peer-reviewed academic journal dedicated to advancing the field of high-performance computing systems and architecture. The journal focuses on research that addresses the design, analysis, and optimization of high-performance systems.
Objective: The primary objective of International Journal of High Performance Systems Architecture is to publish innovative research on high-performance computing systems, including their architecture, design, and performance evaluation. Topics covered by the journal include parallel and distributed computing, multi-core and many-core processors, high-performance storage systems, network architectures, system-on-chip designs, and emerging technologies in high-performance computing. The journal aims to provide a platform for researchers to share their findings and contribute to the advancement of high-performance systems.
Interdisciplinary Approach: The journal adopts an interdisciplinary approach by integrating research from various areas of computer science, electrical engineering, and systems engineering. This approach facilitates a comprehensive exploration of how different aspects of system architecture and performance interact and impact high-performance computing. Contributions that bridge multiple disciplines and offer novel insights into system design and optimization are particularly encouraged.
Impact and Significance: International Journal of High Performance Systems Architecture has a significant impact on both academic and professional communities involved in high-performance computing and systems design. The research published in the journal provides valuable contributions by presenting new methodologies, techniques, and applications that address contemporary challenges in high-performance systems. It serves as a key resource for researchers, engineers, and practitioners who are engaged in developing and optimizing high-performance computing technologies.

Journal Home: Journal Homepage

Editor-in-Chief: Dr. Nadia Nedjah

Scope: The International Journal of High Performance Systems Architecture focuses on research and advancements in the design, analysis, and implementation of high-performance systems architecture. The journal provides a platform for discussing cutting-edge technologies and methodologies aimed at improving system performance. Its scope includes:
1. High-Performance Computing (HPC): Research on HPC architectures, including supercomputing systems, parallel and distributed computing, and performance optimization techniques.
2. System Architecture Design: Studies on the design of system architectures for high-performance applications, including microarchitectures, memory hierarchies, and interconnects.
3. Multi-Core and Many-Core Architectures: Exploration of multi-core and many-core processors, including architectural innovations, programming models, and performance evaluation.
4. Advanced Processor Designs: Research on cutting-edge processor designs, including GPUs, FPGAs, and specialized processors for high-performance tasks.
5. Performance Modeling and Analysis: Studies on modeling and analyzing the performance of high-performance systems, including simulation, benchmarking, and profiling techniques.
6. Memory Systems and Management: Exploration of memory systems and management techniques for high-performance computing, including cache design, virtual memory, and memory coherence.
7. Parallel and Distributed Systems: Research on parallel and distributed systems architectures, including distributed computing frameworks, load balancing, and fault tolerance.
8. High-Performance Networking: Studies on networking technologies and architectures for high-performance systems, including high-speed interconnects, network topology, and data communication.
9. System-Level Optimization: Research on system-level optimization techniques for improving performance, including resource allocation, scheduling, and power management.
10. Embedded and Real-Time Systems: Exploration of architectures and methodologies for embedded and real-time systems, including real-time scheduling, resource management, and performance constraints.
11. Reliability and Fault Tolerance: Research on enhancing reliability and fault tolerance in high-performance systems, including error detection, correction techniques, and redundancy.