Parallel Processing and High Performance Computing
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: closed (31 March 2022) | Viewed by 4741
Special Issue Editors
Interests: optimization; parallelism; high-performance computing; CAD/CAM systems; metaheuristics; computer arithmetic; industrial applications of computing
Special Issues, Collections and Topics in MDPI journals
Interests: CAD/CAM; footwear; sport biomechanics; computational geometry; high-performance computing
Interests: HW/SW codesign; HW/SW hardening; radiation hardening of embedded systems; neuroprosthetics; neuroengineering
Interests: parallel computing; parallel programming; high-performance computing; parallel and distributed computing; GPU programming; OpenMP; MPI; nonlinear systems; distributed computing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent years, a growing trend has emerged addressed at improving data processing. From big data to artificial intelligence, strong requirements have arisen with regard to decreasing computational time while maintaining solutions’ quality.
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 Parallel Processing and High-Performance Computing aims to contribute recent advances in hardware and software environments for optimizing computing, parallel strategies, and high-performance implementations of algorithms and methods, and their application to industry, engineering, medical science, and other disciplines.
Prof. Antonio Jimeno-Morenilla
Dr. Jose-Luis Sanchez-Romero
Dr. Antonio Martínez-Álvarez
Dr. Héctor Migallón
Guest Editors
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Keywords
- Parallel processing
- Parallel architectures and implementation
- Software and hardware optimization
- FPGA architectures
- 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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