Emerging Technologies and Applications in High-Performance Computing and Computer Architecture
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: 15 August 2025 | Viewed by 85
Special Issue Editor
Interests: computer architecture; digital system design; reconfigurable computing; embedded computing; deep learning; deep neural networks; signal processing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
High-performance computing (HPC) architectures are fundamental for the advance of topical fields such as artificial intelligence, big data analytics, and scientific research applied in the healthcare, industry, aerospace, and finance sectors, among others.
New architectures have been proposed to continuously increasing computing power, exploring several design dimensions, including the processing unit, the memory hierarchy, the interconnection structure, and the software. These aspects are interdependent, meaning that the evolution of HPC architectures can only proceed with the integrated advancements of all these components.
Innovation is taking place in many areas, some of them still in their infancy: quantum computing, neuromorphic computing, custom computing architectures tailored to specific applications, heterogeneous computing, photonic computing, green computing, embedded computing, memory innovations, and advanced interconnections and protocols.
This Special Issue aims to collect recent advances in high-performance computing and its applications, discussing potential topics such as, but not limited to, the following:
- Computing architectures (parallel, distributed, edge-cloud);
- Grid computing;
- Edge computing;
- High-performance embedded computing;
- Applied HPC architectures (scientific simulations, big data analytics, deep learning, others);
- Techniques for performance optimization;
- Software for HPC (frameworks, tools, computing models);
- Applications of HPC (fluid dynamics, molecular simulations, physics, engineering design, health, others);
- Quantum computing;
- Neuromorphic computing;
- Custom accelerators (e.g., TPU, FPGA, GPU);
- Memory architectures for HPC;
- Interconnection architectures for parallel and distributed computing;
- Other related topics.
Prof. Dr. Mário P. Véstias
Guest Editor
Manuscript Submission Information
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Keywords
- high-performance computing
- applied computing
- custom computing
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