Recent Advancements of High Performance Computing (HPC)

Dear Colleagues，

High Performance Computing (HPC) has become a cornerstone of modern computational science and engineering, enabling breakthroughs in a wide range of fields, from cyber-physical systems (CPS) to AI-driven applications. These complex systems often involve numerous interacting components, requiring HPC solutions that ensure reliability, scalability, and efficiency. As the demand for high-performance solutions continues to grow, there is a critical need to address challenges related to fault tolerance, resource optimization, and the integration of AI and machine learning into HPC workflows. This Special Issue aims to highlight recent advancements in HPC, focusing on innovative methodologies, tools, and applications that push the boundaries of scalability, dependability, and performance. The topics align with the journal's focus on advancing computing technologies and their application to address real-world challenges. The issue seeks to showcase cutting-edge research that contributes to the development of dependable, efficient, and adaptive HPC systems, meeting the growing demands of complex and critical applications.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

• Advances in parallel and distributed computing;
• Fault tolerance and recovery mechanisms;
• AI and machine learning integration in HPC;
• Performance optimization for large-scale systems;
• Dependability modeling and evaluation;
• Real-time systems and applications;
• HPC applications in smart cities, healthcare, and industrial IoT;
• Adaptive and self-healing HPC systems;
• Energy-efficient HPC architectures;
• Big data analytics and HPC.

I look forward to receiving your contributions.

Dr. Junjun Zheng
Prof. Dr. Tadashi Dohi
Guest Editors

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