International Journal of High Performance Computing and Networking
- Editor in Chief
- Prof. Kuan-Ching Li
- ISSN online
- ISSN print
- 12 issues per year
IJHPCN addresses the most innovative developments in high-performance computing and networking such as information and system architectures, grid- and web-based information management and infrastructures, data storage, management, analysis and visualisation, advanced networking with applications, scalable parallel computing, cluster and grid computing, distributed systems, and high performance scientific and engineering computing with applications.
Topics covered include
- Cluster, grid, peer-to-peer, GPU, multi/many-core and cloud computing
- Quantum computing technologies and applications
- Large-scale workflow and virtualisation technologies
- Cyber security and cryptography
- Machine learning, deep learning and artificial intelligence
- Autonomic computing; data management/distributed data systems
- Energy-efficient computing infrastructure
- Big data infrastructure, storage and computation management
- Advanced next-generation networking technologies
- Parallel and distributed computing, language and algorithms
- Programming environments and tools, scheduling and load balancing
- Operation system support, I/O, memory issues
- Problem solving, performance modelling/evaluation
- Including architecture, compilers, hardware, tools, programming environments, languages and algorithms, operation system support, I/O and memory issues, etc.
Techniques and Algorithms for HPCN
- Including new numerical and non-numerical techniques for parallelisation, scheduling and load balancing, problem solving environments, performance modelling and evaluation, etc.
Cluster and Grid Computing
- Including cluster middleware, managing clusters, grid computing and clusters, etc.
Advanced Networking with Applications
- Including network architecture, protocols, mobile computing, wireless networks, optical networks, performance evaluation, routing, etc.
Web and Grid based Computing
- Including distributed/federated information and knowledge management, information brokerage, virtual enterprises, clearing houses, electronic business, cooperation coordination, tele-work, etc.
- Including computational fluid dynamics and mechanics, material sciences, space, weather, climate systems and global changes, computational environment and energy systems, computational ocean and earth sciences, combustion system simulation, computational chemistry, computational physics, bioinformatics and computational biology, medical applications, transportation systems simulations, combinatorial and global optimisation problems, structural engineering, computational electromagnetics, data mining, computer graphics, virtual reality and multimedia, computational finance, semiconductor technology, electronic circuits and system design, signal and image processing, and dynamic systems, etc.
More on this journal...
The objective of IJHPCN is to provide an outstanding channel for academics, professionals, educators and policy makers working in the field to contribute and to disseminate innovative and important new work in high-performance computing and advanced networking.
Scientists, engineers, researchers, educators, programmers, system administrators, managers, and industrial professionals.
IJHPCN provides an international forum to report, discuss and exchange experimental or theoretical results, novel designs, work-in-progress, experience, case studies, and trend-setting ideas. Papers should be of a quality that advances the state of the art in the field, bringing together the latest advances in technology, science, research, application, and education, and stimulating future trends in the areas.
IJHPCN is indexed in:
- Scopus (Elsevier)
- Compendex [formerly Ei] (Elsevier)
- Academic OneFile (Gale)
- ACM Digital Library
- Asian Digital Library
- cnpLINKer (CNPIEC)
- DBLP Computer Science Bibliography
- Expanded Academic ASAP (Gale)
- Business Collection (Gale)
- General OneFile (Gale)
- Google Scholar
- Info Trac (Gale)
- Inspec (Institution of Engineering and Technology)
- io-port (FIZ Karlsruhe)
- Pascal (INIST-CNRS)
- ProQuest Advanced Technologies Database with Aerospace
IJHPCN is listed in:More journal lists/directories...
Editor in Chief
- Li, Kuan-Ching, Providence University, Taiwan
- Pan, Yi, Georgia State University, USA
- Yang, Laurence T., St Francis Xavier University, Canada
- Chen, Xiaofeng, Xidian University, China
- Couturier, Raphaël, University of Franche-Comte, France
- Fowler, Scott, Linköping University, Sweden
- Gupta, B.B., National Institute of Technology Kurukshetra, India
- Jararweh, Yaser, Jordan University of Science and Technology, Jordan
- Jiang, Hai, Arkansas State University, USA
- Lopez, Matthew Graham, Oak Ridge National Laboratory, USA
- Mao, Bo, Xiamen University, China
- Pop, Florin, University Politehnica of Bucharest, Romania
- Rana, Omer F., Cardiff University, UK
- Sarkar, Nurul, Auckland University of Technology, New Zealand
- Agrawal, Dharma P., University of Cincinnati, USA
- Akl, Selim, Queen's University, Canada
- Bertino, Elisa, Purdue University, USA
- Cao, Jiannong, Hong Kong Polytechnic University, Hong Kong SAR, China
- Chapman, Barbara, Stony Brook University, USA
- Dongarra, Jack, University of Tennessee Knoxville, USA
- Fox, Geoffrey Charles, Indiana University, USA
- Gao, Guang R., University of Delaware, USA
- Gaudiot, Jean-Luc, University of California – Irvine, USA
- Gropp, William D., University of Illinois Urbana-Champaign, USA
- Guo, Minyi, Shanghai Jiao Tong University, China
- Jia, Xiaohua, City University of Hong Kong, Hong Kong SAR, China
- Jin, Hai, Huazhong University of Science and Technology, China
- Ni, Lionel M., University of Macau, Macao
- Pedrycz, Witold, University of Alberta, Canada
- Sahni, Sartaj, University of Florida, USA
- Sun, Xian-He, Illinois Institute of Technology, USA
- Valero, Mateo, Universidad Politecnica de Catalunya, Spain
- Wu, Jie, Temple University, USA
- Xu, Zhiwei, Chinese Academy of Sciences, China
- Zima, Hans, California Institute of Technology, USA
- Zomaya, Albert, University of Sydney, Australia
Editorial Board Members
- Au, Man Ho, Hong Kong Polytechnic University, Hong Kong SAR, China
- Bhuiyan, Md Zakirul Alam, Fordham University, USA
- Castiglione, Aniello, University of Salerno, Italy
- Cheng, Albert M.K., University of Houston, USA
- Choo, Kim-Kwang Raymond, University of Texas at San Antonio, USA
- D'Agostino, Daniele, Italian National Research Council, Italy
- Dong, Mianxiong, Muroran Institute of Technology, Japan
- Huang, Runhe, Hosei University, Japan
- Hukerikar, Saurabh, Oak Ridge National Laboratory, USA
- Juckeland, Guido, Helmholtz-Zentrum Dresden-Rossendorf e.V., Germany
- Katz, Daniel S., University of Illinois, USA
- Lai, Kuan-Chou, National Taichung University, Taiwan
- Lau, Francis C.M., The University of Hong Kong, Hong Kong SAR, China
- Li, Kenli, Hunan University, China
- Liu, Yang, Beijing Institute of Technology, China
- Marino, Mario Donato, Leeds Beckett University, UK
- Navaux, Philippe O. A., Federal University of Rio Grande do Sul (UFRGS), Brazil
- Pathan, Al-Sakib Khan, Southeast University, Bangladesh
- Peng, Shao-Liang, National University of Defense Technology, China
- Qi, Heng, Dalian University of Technology, China
- Ren, Fenghui, University of Wollongong, Australia
- Sens, Pierre, LIP6 - REGAL Team, France
- Talia, Domenico, Università della Calabria, Italy
- Thampi, Sabu M., Indian Institute of Information Technology and Management - Kerala (IIITM-K), India
- Tumeo, Antonino, Pacific Northwest National Laboratory, USA
- Venticinque, Salvatore, Second University of Naples, Italy
- Wang, Cho-Li, The University of Hong Kong, Hong Kong SAR, China
- Wang, Guojun, Guangzhou University, China
- Westphall, Carlos Becker, Federal University of Santa Catarina, Brazil
- Xue, Jingling, University of New South Wales, Australia
- Yang, Chao-Tung, Tunghai University, Taiwan
- Zhao, Wei, University of Macau, Macao
- Znati, Taieb, University of Pittsburgh, USA
- Zou, Deqing, Huazhong University of Science and Technology, China
A few essentials for publishing in this journal
- Submitted articles should not have been previously published or be currently under consideration for publication elsewhere.
- Conference papers may only be submitted if the paper has been completely re-written (more details available here) and the author has cleared any necessary permissions with the copyright owner if it has been previously copyrighted.
- Briefs and research notes are not published in this journal.
- All our articles go through a double-blind review process.
- All authors must declare they have read and agreed to the content of the submitted article. A full statement of our Ethical Guidelines for Authors (PDF) is available.
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- All articles for this journal must be submitted using our online submissions system.
- Submit here.
14 September, 2018
Medical emergencies inevitably require an urgent response from doctors and other healthcare workers. Response time can mean the difference between life and death. As such, there are ongoing efforts in many areas of research to find technological approaches to reducing response times in order to improve medical outcomes. Writing in the International Journal of High Performance Computing and Networking, an academic team from Ireland explain how and why mobile cloud computing can be an answer [...]More details...
Addressing cyber security
19 October, 2018
A new approach to detecting the addresses of potentially malicious websites that might compromise an individual or corporate computing environment is being developed by researchers in China. The approach avoids a simplistic analysis based on keywords in the address, the URL (uniform resource locator) and instead uses statistical analyses based on gradient learning and feature extraction to feed the machine learning of an algorithm that can quickly detect malicious website addresses [...]More details...
5 September, 2017Title: Evaluation of directive-based performance portable programming models
Authors: M. Graham Lopez, Wayne Joubert, Veronica Vergara Larrea, Oscar Hernandez, Azzam Haidar, Stanimire Tomov, Jack Dongarra
Abstract: We present an extended exploration of the performance portability of directives provided by OpenMP 4 and OpenACC to program various types of node architecture with attached accelerators, both self-hosted multicore and offload multicore/GPU. Our goal is to examine how successful OpenACC and the newer offload features of OpenMP 4.5 are for moving codes between architectures, and we document how much tuning might be required and what lessons we can learn from these experiences. To do this, we use examples of algorithms with varying computational intensities for our evaluation, as both compute and data access efficiency are important considerations for overall application performance. To better understand fundamental compute vs. bandwidth bound characteristics, we add the compute-bound Level 3 BLAS GEMM kernel to our linear algebra evaluation. We implement the kernels of interest using various methods provided by newer OpenACC and OpenMP implementations, and we evaluate their performance on various platforms including both x86_64 and Power8 with attached NVIDIA GPUs, x86_64 multicores, self-hosted Intel Xeon Phi KNL, as well as an x86_64 host system with Intel Xeon Phi coprocessors. We update these evaluations with the newest version of the NVIDIA Pascal architecture (P100), Intel KNL 7230, Power8+, and the newest supporting compiler implementations. Furthermore, we present in detail what factors affected the performance portability, including how to pick the right programming model, its programming style, its availability on different platforms, and how well compilers can optimise and target multiple platforms.More details...
5 September, 2017Title: Harnessing betweenness centrality for virtual network embedding in tree topologies
Authors: Mydhili Palagummi, Ricardo Lent
Abstract: We examine the virtual network embedding problem with QoS constraints and formulate an approach that exploits the betweenness centrality of VNE requests to improve performance. A pay-per-use revenue model is introduced to evaluate the algorithm. An evaluation study using datacentre-like substrates and a wide area topology compares the approach with four embedding methods from the literature and reports on the average revenue rate, embedding success probability, average number of VNE deployments, cost, and impact of substrate failures on the operation of the VNEs, confirming the efficacy of the proposed approach.More details...
International Journal of High Performance Computing and Networking increases issues
19 September, 2018
The International Journal of High Performance Computing and Networking has announced that it will be increasing issues from eight to twelve from 2019 onwards.