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Electronics
Special Issues
Parallel Processing and High Performance Computing
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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 3657

Special Issue Editors

Prof. Dr. Jose-Luis Sanchez-Romero

E-Mail Website
Guest Editor
Department of Computer Technology, University of Alicante, 03690 Alicante, Spain
Interests: optimization; parallelism; high-performance computing; CAD/CAM systems; metaheuristics; computer arithmetic; industrial applications of computing
Special Issues, Collections and Topics in MDPI journals
Prof. Antonio Jimeno-Morenilla

E-Mail Website
Guest Editor
Department of Computer Technology. University of Alicante, 03690 Alicante, Spain
Interests: CAD/CAM; footwear; sport biomechanics; computational geometry; high-performance computing
Dr. Antonio Martínez-Álvarez

E-Mail Website
Guest Editor
Department of Computer Technology, University of Alicante, 03690 Alicante, Spain
Interests: HW/SW codesign; HW/SW hardening; radiation hardening of embedded systems; neuroprosthetics; neuroengineering
Dr. Héctor Migallón

E-Mail Website
Guest Editor
Department of Computer Engineering, Miguel Hernandez University, 03202 Elche, Spain
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

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

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

Published Papers (1 paper)

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Research

15 pages, 632 KiB  
Article
Distributed Deep Learning: From Single-Node to Multi-Node Architecture
by Jean-Sébastien Lerat, Sidi Ahmed Mahmoudi and Saïd Mahmoudi
Electronics 2022, 11(10), 1525; https://doi.org/10.3390/electronics11101525 - 10 May 2022
Cited by 2 | Viewed by 1849
Abstract
During the last years, deep learning (DL) models have been used in several applications with large datasets and complex models. These applications require methods to train models faster, such as distributed deep learning (DDL). This paper proposes an empirical approach aiming to measure [...] Read more.
During the last years, deep learning (DL) models have been used in several applications with large datasets and complex models. These applications require methods to train models faster, such as distributed deep learning (DDL). This paper proposes an empirical approach aiming to measure the speedup of DDL achieved by using different parallelism strategies on the nodes. Local parallelism is considered quite important in the design of a time-performing multi-node architecture because DDL depends on the time required by all the nodes. The impact of computational resources (CPU and GPU) is also discussed since the GPU is known to speed up computations. Experimental results show that the local parallelism impacts the global speedup of the DDL depending on the neural model complexity and the size of the dataset. Moreover, our approach achieves a better speedup than Horovod. Full article
(This article belongs to the Special Issue Parallel Processing and High Performance Computing)
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