High-Performance Computing (HPC) and Computer Architecture
A special issue of Computers (ISSN 2073-431X).
Deadline for manuscript submissions: 31 May 2026 | Viewed by 23
Special Issue Editors
Interests: machine learning; computer networks; high-performance computing
Special Issue Information
Dear Colleagues,
High-Performance Computing (HPC) and Computer Architecture are undergoing rapid transformation, shaped by large-scale applications, heterogeneous accelerators, and the convergence of cloud- and supercomputing. At the same time, the rise of AI-driven workloads such as large-scale language model (LLM) training, Mixture-of-Experts (MoE) systems, and other AI-HPC infrastructures is redefining performance requirements and architectural priorities. This Special Issue seeks original research, surveys, and applied contributions that advance our understanding of performance, scalability, and system design across these evolving domains.
Topics of interest include parallel and distributed systems, supercomputing and cluster infrastructures, multi-core and GPU computing, hardware acceleration, and energy-efficient system design. We also welcome work that addresses resource allocation, workload management, programming models, memory and interconnect architectures, and cloud or data center integration. Both theoretical advances and applied research are welcome, provided they deliver clear insights into performance optimization or system-level innovation.
By integrating contributions from both traditional HPC and emerging AI-HPC communities, this Special Issue aims to provide a comprehensive perspective on next-generation computing platforms and inspire solutions for scalable, efficient, and intelligent computation.
Prof. Dr. Taskin Kocak
Dr. Ron (Rongyu) Lin
Guest Editors
Manuscript Submission Information
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Keywords
- high-performance and parallel computing
- computer architecture
- supercomputing and cluster systems
- multi-core and GPU computing
- performance optimization and workload management
- energy efficiency and scalability
- cloud computing and data centers
- hardware acceleration
- AI-HPC systems and infrastructures
- hybrid quantum–AI computing
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