Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
4.7
2.9
Journals
Electronics
Special Issues
Emerging Technologies and Applications of High-Performance Computer Systems
share announcement

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 1929

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
Dr. Christopher Paolini

E-Mail Website
Guest Editor
Department of Electrical and Computer Engineering, San Diego State University, San Diego, CA 92182, USA
Interests: Internet of Things device development; machine learning; embedded systems; deep learning; high-performance computing; high-speed networking; cyberinfrastructure development; cybersecurity
Dr. Krzysztof Wołk

E-Mail Website
Guest Editor
Department of Multimedia, Polish-Japanese Academy of Information Technology, 02-008 Warszawa, Poland
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

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
  • 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 (2 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

21 pages, 611 KiB  
Article
An Evaluation of Directive-Based Parallelization on the GPU Using a Parboil Benchmark
by Jovan Đukić and Marko Mišić
Electronics 2023, 12(22), 4555; https://doi.org/10.3390/electronics12224555 - 07 Nov 2023
Viewed by 865
Abstract
Heterogeneous architectures consisting of both central processing units and graphics processing units are common in contemporary computer systems. For that reason, several programming models have been developed to exploit available parallelism, such as low-level CUDA and OpenCL, and directive-based OpenMP and OpenACC. In [...] Read more.
Heterogeneous architectures consisting of both central processing units and graphics processing units are common in contemporary computer systems. For that reason, several programming models have been developed to exploit available parallelism, such as low-level CUDA and OpenCL, and directive-based OpenMP and OpenACC. In this paper we explore and evaluate the applicability of OpenACC, which is a directive-based programming model for GPUs. We focus both on the performance and programming effort needed to parallelize the existing sequential algorithms for GPU execution. The evaluation is based on the benchmark suite Parboil, which consists of 11 different mini-applications from different scientific domains, both compute- and memory-bound. The results show that mini-apps parallelized with OpenACC can achieve significant speedups over sequential implementations and in some cases, even outperform CUDA implementations. Furthermore, there is less of a programming effort compared to low-level models, such as CUDA and OpenCL, because a majority of the work is left to the compiler and overall, the code needs less restructuring. Full article
(This article belongs to the Special Issue Emerging Technologies and Applications of High-Performance Computer Systems)
►▼ Show Figures

Figure 1

25 pages, 21025 KiB  
Article
A Multi-Strategy Crazy Sparrow Search Algorithm for the Global Optimization Problem
by Xuewei Jiang, Wei Wang, Yuanyuan Guo and Senlin Liao
Electronics 2023, 12(18), 3967; https://doi.org/10.3390/electronics12183967 - 20 Sep 2023
Viewed by 698
Abstract
A multi-strategy crazy sparrow search algorithm (LTMSSA) for logic-tent hybrid chaotic maps is given in the research to address the issues of poor population diversity, slow convergence, and easily falling into the local optimum of the sparrow search algorithm (SSA). Firstly, the LTMSSA [...] Read more.
A multi-strategy crazy sparrow search algorithm (LTMSSA) for logic-tent hybrid chaotic maps is given in the research to address the issues of poor population diversity, slow convergence, and easily falling into the local optimum of the sparrow search algorithm (SSA). Firstly, the LTMSSA employs an elite chaotic backward learning strategy and an improved discoverer-follower ratio factor to improve the population’s quality and diversity. Secondly, the LTMSSA updates the positions of discoverers and followers by the crazy operator and the Lévy flight strategy to expand the selection range of target following individuals. Finally, during the algorithm’s optimization search, the LTMSSA introduces the tent hybrid and Corsi variable perturbation strategies to improve the population’s ability to jump out of the local optimum. Different types and dimensions of test functions are used as performance benchmark functions to test the performance of the LTMSSA with SSA variants and other algorithms. The simulation results show that the LTMSSA can jump out of the optimal local solution, converge faster, and have higher accuracy. Its overall performance is better than the other seven algorithms, and the LTMSSA can find smaller optimal values than other algorithms in the welded beam and reducer designs. The results confirm that the LTMSSA is an effective aid for computationally complex practical tasks, provides high-quality solutions, and outperforms other algorithms. Full article
(This article belongs to the Special Issue Emerging Technologies and Applications of High-Performance Computer Systems)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-2
Back to TopTop