Journal Information
Journal of Parallel and Distributed Computing (JPDC)
Impact Factor:
Call For Papers
The Journal of Parallel and Distributed Computing (JPDC) is directed to researchers, scientists, engineers, educators, managers, programmers, and users of computers who have particular interests in parallel processing and/or distributed computing. The goal of the journal is to publish in a timely manner original research, critical review articles, and relevant survey papers on the theory, design, implementation, evaluation, programming, and applications of parallel and/or distributed computing systems. The journal provides an effective forum for communication among researchers and practitioners from various scientific areas working in a wide variety of problem areas, sharing a fundamental common interest in improving the ability of parallel and distributed computer systems to solve increasing numbers of difficult and complex problems as quickly and as efficiently as possible.

The scope of the journal includes (but is not restricted to) the following topics as they relate to parallel and/or distributed computing:

• Theory of parallel and distributed computing
• Parallel algorithms and their implementation
• Innovative computer architectures
• Shared-memory multiprocessors
• Peer-to-peer systems
• Distributed sensor networks
• Pervasive computing
• Optical computing
• Software tools and environments
• Languages, compilers, and operating systems
• Fault-tolerant computing
• Applications and performance analysis
• Bioinformatics
• Cyber trust and security
• Parallel programming
• Grid computing
Last updated by Dou Sun in 2022-01-29
Special Issues
Special Issue on Secure and Efficient Distributed Computation for Emerging Systems on the Edge
Submission Date: 2024-01-10

Next-generation networks employed in Cyberphysical Systems (CPSs) and emerging edge computing infrastructures include a vast amount of novel hardware, including smart Internet-of-things (IoT) devices, programmable hardware, and computation-capable nodes. Consequently, in recent years, the increasing pervasiveness of these advanced and heterogeneous systems at the edge has pushed for energy-efficient methodologies capable of high computational performance and a more ubiquity of accelerators such as Field-Programmable Gate Arrays (FPGAs) and Domain-Specific Architectures (DSAs). As the flip side of their unprecedented capabilities, such devices -- and the network they form -- are vulnerable to a broad set of security attacks. To complicate matters further, attackers of all kinds are constantly working to create new attacks, making the set of threats to defend from both vast and unbounded. Therefore, designing novel systems that are secure by design or embrace adaptive security countermeasures (e.g., Intrusion Detection Systems, Federated and Machine Learning techniques) is necessary and not negotiable. This special issue aims to cover research works that target secure and efficient distributed computation for systems on the edge, even in a disjoint fashion. In addition, it will also be accepted submissions that provide foundation work on the application of emerging technologies and approaches such as quantum computing and adversarial machine learning. This special issue encourages the following topics (but are not limited to): Security of Cyberphysical and Critical systems (IoT, SCADA) Design and analysis of trusted and secure ML algorithms and systems for Intrusion Detection Adversarial attacks and defenses for ML-based algorithm in distributed networks Intrusion Detection for distributed systems Design and implementation of efficient/low power reconfigurable systems for edge computations Methodologies and tools for efficient design automation and Computer Aided Design (CAD) approaches Parallel and distributed computer architectures for efficient computations Design and implementation of Edge AI heterogeneous systems Federated and Distributed systems for efficient and secure computation on the edge Novel quantum computing applications and systems designed for security and high-performanc Computations
Last updated by Dou Sun in 2023-09-19
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