Energy-Efficient Architectures and Memory Innovations for High-Performance Computing and Distributed Systems
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Circuit and Signal Processing".
Deadline for manuscript submissions: 15 April 2026 | Viewed by 974
Special Issue Editor
Special Issue Information
Dear Colleagues,
With the rapid advancement of datasets and artificial intelligence, there is a growing need to design highly efficient hardware architectures to enhance performance. Several promising research directions include the following:
In/Near-Memory Processing: Currently, the performance of most applications is limited by data transfer bottlenecks. Moving computer units inside or closer to memory can significantly mitigate memory-bound issues and improve efficiency.
Software–Hardware Co-Design: By tightly integrating software algorithms with hardware capabilities, it is possible to optimize performance and energy efficiency. This approach involves designing hardware that is specifically tailored to the requirements of AI workloads, while simultaneously developing software that can fully leverage the hardware's unique features.
Dr. Ling Liang
Guest Editor
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Keywords
- in/near-memory processing
- software–hardware co-design
- hardware architecture
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