Advances in High-Performance and Parallel Computing

Dear Colleagues,

High-Performance Computing (HPC) and Parallel Computing play a vital role in addressing the growing demands of modern science, engineering, and data-driven applications. HPC and Parallel Computing enable researchers and practitioners to leverage multi-core processors, distributed systems, and accelerators such as GPUs and NPUs to solve problems involving increasing complexity and datasets. Advances in scalable algorithms, programming models, heterogeneous architectures, and performance optimization have been recent catalysts of a sea change in computational capabilities. Moreover, their integration with emerging paradigms—such as cloud computing, artificial intelligence (AI), and quantum computing—continues to reshape our expectations of what is computationally possible. The appetite for high-speed, large-scale computation shows no signs of subsiding in various domains such as bioinformatics, climate science, natural language processing, and autonomous systems. We hope this Special Issue provides valuable insights, fosters collaboration, and inspires future innovation in this dynamic and essential field.

In this Special Issue, original research articles and reviews on techniques, tools, and applications involving HPC and Parallel Computing are welcome. Research areas may include (but are not limited to) the following:

• Scalable and Distributed Computing;
• High-Performance Architectures and Systems;
• GPUs, Accelerators, and Heterogeneous Architectures for HPC;
• Programming Models and Languages for Parallel Computing;
• Compilers and Runtime Systems for Parallel Computing;
• Machine Learning and AI for HPC (and vice versa);
• Parallel Algorithms and Data Structures;
• Energy Efficiency and Green Computing in HPC;
• Fault Tolerance and Resilience in HPC;
• Performance Modeling, Benchmarking, and Tuning.

We look forward to hearing from you.

Dr. Wonsun Ahn
Prof. Dr. Chen Liu
Guest Editors

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