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ACM Transactions on Parallel Computing | 2024 Impact Factor:1.2 | Cite Score:3.1 | Q3

ACM Transactions on Parallel Computing Journal With Cite Score

Cite Score and Journal Rank of ACM Transactions on Parallel Computing

  • About: The ACM Transactions on Parallel Computing (TOPC) is a peer-reviewed journal published by the Association for Computing Machinery (ACM) that focuses on research related to parallel computing. The journal covers a wide range of topics including parallel algorithms, parallel architectures, parallel programming models, and applications of parallel computing. TOPC aims to provide a platform for high-quality research that advances the state of parallel computing and its applications.
  • Objective:
    The primary objective of TOPC is to advance the field of parallel computing by publishing significant research findings, innovative methodologies, and practical applications. The journal seeks to contribute to the development and understanding of parallel computing technologies and their impact on various domains. TOPC aims to facilitate the exchange of ideas and promote advancements in parallel algorithms, systems, and applications.
  • Interdisciplinary Approach:
    TOPC embraces an interdisciplinary approach, encouraging contributions from diverse fields such as computer science, electrical engineering, and applied mathematics. This approach ensures a comprehensive exploration of parallel computing topics, integrating perspectives and techniques from multiple disciplines. By fostering interdisciplinary research, the journal aims to address complex challenges and develop integrated solutions that enhance the effectiveness of parallel computing.
  • Impact:
    The journal has a significant impact on both academic research and practical applications in parallel computing. It is widely cited by researchers, practitioners, and educators interested in the latest developments and advancements in parallel computing technologies. The research published in TOPC contributes to the advancement of parallel computing methods, systems, and applications, influencing both theoretical research and practical implementations. The journal serves as a valuable resource for professionals involved in the design, analysis, and deployment of parallel computing systems.
  • Significance:
    TOPC plays a crucial role in advancing the study and practice of parallel computing by providing a platform for high-quality research and practical insights. Its contributions support the development of innovative parallel computing technologies and methodologies that address current and future challenges. The journals commitment to excellence and interdisciplinary focus make it an essential resource for anyone involved in parallel computing research, development, and application. Through its rigorous scholarship and broad coverage, TOPC helps shape the future of parallel computing.

  • Editor-in-Chief:   David A. Bader

  • Scope: The ACM Transactions on Parallel Computing (TOPC) journal focuses on research in parallel computing and related areas. Its scope includes, but is not limited to:
  • Parallel Algorithms: Research on the design, analysis, and implementation of algorithms that can be executed in parallel, including parallel sorting, searching, and graph algorithms.
  • Parallel Architectures: Studies on the design and implementation of hardware architectures for parallel computing, including multi-core processors, many-core processors, and distributed systems.
  • High-Performance Computing (HPC): Exploration of techniques and technologies for achieving high performance in computing systems, including supercomputers, cluster computing, and grid computing.
  • Distributed Computing: Research on distributed systems and their coordination, including message passing, distributed algorithms, and consistency models.
  • Parallel Programming Models and Languages: Studies on programming models and languages designed for parallel computing, including parallel extensions to existing languages, new programming paradigms, and parallel programming frameworks.
  • Parallel I/O and Storage: Exploration of techniques and systems for efficient input/output operations and storage management in parallel environments, including parallel file systems and data management.
  • Parallel Operating Systems: Research on operating systems designed to manage parallel and distributed computing environments, including scheduling, resource management, and fault tolerance.
  • Performance Evaluation and Benchmarking: Studies on methodologies for evaluating and benchmarking the performance of parallel computing systems, including performance metrics, profiling, and simulation.
  • Parallel Applications: Research on the application of parallel computing to various domains, including scientific computing, data analysis, machine learning, and simulation.
  • Scalability: Exploration of techniques for achieving scalability in parallel computing systems, including algorithms and architectures that can handle increasing numbers of processors or data sizes.
  • Concurrency and Synchronization: Studies on concurrency control and synchronization mechanisms in parallel computing, including mutual exclusion, synchronization primitives, and concurrent data structures.
  • Energy Efficiency in Parallel Computing: Research on techniques for improving the energy efficiency of parallel computing systems, including power-aware computing and energy-efficient architectures.
  • Fault Tolerance and Reliability: Exploration of methods for ensuring fault tolerance and reliability in parallel computing systems, including error detection, recovery mechanisms, and redundancy.
  • Parallel Computing in Emerging Technologies: Studies on the application of parallel computing techniques to emerging technologies, including quantum computing, neuromorphic computing, and edge computing.
  • Theoretical Foundations: Research on the theoretical aspects of parallel computing, including complexity theory, computational models, and algorithmic foundations.
  • Parallel Software Tools: Exploration of tools and environments that support the development, debugging, and optimization of parallel software, including compilers, debuggers, and performance analysis tools.
  • Latest Research Topics for PhD in Computer Science
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  • Print ISSN:  2329-4949

    Electronic ISSN:  2329-4957

  • Abstracting and Indexing:  Scopus

  • Imapct Factor 2024:  1.2

  • Subject Area and Category:   Computer Science, Computational Theory and Mathematics, Computer Science Applications, Hardware and Architecture, Software, Mathematics, Modeling and Simulation

  • Publication Frequency:  

  • H Index:  24

  • Best Quartile:

    Q1:  

    Q2:  

    Q3:  Computational Theory and Mathematics

    Q4:  

  • Cite Score:  3.1

  • SNIP:  0.764

  • Journal Rank(SJR):  0.418