Advances in Microarchitecture for High-Performance Computing Application
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: 15 March 2026 | Viewed by 8
Special Issue Editors
Interests: emerging processing-in-memory (PIM) architectures; near-storage computing system; hyperdimensional computing
Interests: thermal, power, and performance modeling of microprocessors; management of cloud servers; green cloud computing
Special Issue Information
Dear Colleagues,
High-performance computing (HPC) has become the backbone of modern scientific discoveries, artificial intelligence, and large-scale data analytics. At the core of these advances lies microarchitecture—the fundamental design of processors, memory hierarchies, and interconnected systems that determine computational efficiency, scalability, and energy consumption. With the slowdown of Moore’s Law and Dennard scaling, microarchitectural innovation has reemerged as the primary driver of performance improvements, making it a central topic of both academic research and industrial development.
This Special Issue, entitled “Advances in Microarchitecture for High-Performance Computing Application”, seeks to collate cutting-edge contributions that address the pressing challenges and opportunities in next-generation computing systems. This Special Issue welcomes the submission of both original research papers and comprehensive reviews. Research areas include, but are not limited to, the following:
- Design of processor cores and hardware accelerator;
- Memory subsystem and interconnect architectures;
- Near-data and in-memory computing;
- Hardware–software co-design for performance, energy efficiency, and programmability;
- Architectures for artificial intelligence and machine learning acceleration, including large language models (LLMs);
- Reconfigurable, domain-specific, and heterogeneous architectures;
- Security, reliability, and fault tolerance in HPC microarchitectures;
- Emerging memory technologies and storage class memory integration;
- Thermal and power management strategies for sustainable HPC.
Dr. Weihong Xu
Dr. Darong Huang
Dr. Chang Meng
Guest Editors
Manuscript Submission Information
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Keywords
- high-performance computing
- microarchitecture
- hardware accelerators
- memory and interconnects
- in-memory computing
- hardware–software co-design
- heterogeneous computing
- AI/ML acceleration
- LLM acceleration
- emerging memory
- energy efficiency
- reliability and security
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