Emerging Technologies and Applications of High-Performance Computer Systems
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: closed (15 September 2023) | Viewed by 2554
Special Issue Editors
Interests: optimization; parallelism; high-performance computing; CAD/CAM systems; metaheuristics; computer arithmetic; industrial applications of computing
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Interests: Internet of Things device development; machine learning; embedded systems; deep learning; high-performance computing; high-speed networking; cyberinfrastructure development; cybersecurity
Interests: deep learning; machine learning; natural language processing; computational linguistics; multimedia
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent years, a growing trend has emerged that addresses the need to improve data processing. From big data to artificial intelligence, strong requirements have arisen with regard to decreasing computational time while maintaining the quality of solutions.
These require a high computational power, and therefore, it is necessary to provide high-performance strategies, from algorithm optimization and parallelization to high-performance architectures.
This Special Issue on “Emerging Technologies and Applications of High-Performance Computer Systems” aims to collect contributions on recent advances in hardware and software environments for optimizing computing, parallel strategies, and high-performance implementations of algorithms and methods, as well as on their applications in industry, engineering, medical science, and other disciplines.
Prof. Dr. Jose-Luis Sanchez-Romero
Dr. Christopher Paolini
Dr. Krzysztof Wołk
Guest Editors
Manuscript Submission Information
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Keywords
- parallel processing
- parallel architectures and implementation
- software and hardware optimization
- GPU processing
- OpenCL and CUDA Architectures
- OpenMP and MPI architectures
- optimization of industrial and engineering processes
- applications of parallel and high-performance computing
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