International Journal of Reconfigurable Computing

High Performance Reconfigurable Computing


Publishing date
01 Apr 2012
Status
Published
Submission deadline
01 Oct 2011

Lead Editor

1School of Engineering, The University of Edinburgh, Edinburgh EH9 3JL, UK

2Electrical Engineering and Computer Science, The Catholic University of America, Washington, DC 20064, USA

3Department of Computer Science and Computer Engineering, University of Arkansas, Fayetteville, AR 72701, USA

4Graduate School of Information Sciences, Tohoku University, Mechanical Engineering Building 1 Room 313, 6-6-01 Aramaki Aza Aoba, Sendai 980-8579, Japan

5Zuse-Institut Berlin (ZIB), Takustraße 7, 14195 Berlin-Dahlem, Germany


High Performance Reconfigurable Computing

Description

Since it was first announced in 1965, Moore's law has stood up the test of time, providing exponential increases in computing power for science and engineering problems over time. However, while this law was largely followed through increases in transistor integration levels and clock frequencies, this is no longer possible as power consumption and heat dissipation are becoming major hurdles in the face of further clock frequency increases, the so-called frequency or power wall problem.

In order to keep Moore's law going general-purpose processor manufacturers are now relying on multicore chip technology in which multiple cores run simultaneously on the same chip. While this has the potential to provide considerable speed-up for science and engineering applications, it is also creating a semantic gap between applications, traditionally written in sequential code, and hardware, as multicore technologies need to be programmed in parallel to take advantage of their performance potential.

This semantic gap is also opening a window of opportunity for niche parallel computer technologies such as Field Programmable Gate Arrays (FPGAs) and Graphics Processor units (GPUs) since the problem of parallel programming has to be tackled for general-purpose processors anyway.

The aim of this special issue is to present the latest developments in the area of high-performance computing using reconfigurable hardware, also known as High-Performance Reconfigurable Computing (HPRC). A special emphasis will be put on the opportunities, challenges, and future developments in HPRC, especially in relation to other technologies such as general-purpose multicore processors and GPUs. Potential topics include, but are not limited to:

  • Novel high performance and scalable reconfigurable architectures. Submissions on novel heterogeneous computer architectures as well as comparative studies between alternative accelerator technologies, for example, FPGAs versus GPUs, are particularly welcome. Quantitative criteria, for example, speed, energy consumption, and cost of purchase and development, as well as qualitative criteria, for example, ease of maintenance, standardisation, and backward/forward compatibility, should be used in such comparisons
  • Novel high performance computing applications and implementations on reconfigurable hardware systems
  • Novel software tools for the design, programming, and debugging of high-performance reconfigurable systems. This includes contributions on portable tools and libraries across vendors and technologies, as well as modelling tools for HPRC system design and development

Before submission authors should carefully read over the journal's Author Guidelines, which are located at http://www.hindawi.com/journals/ijrc/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/ according to the following timetable:


Articles

  • Special Issue
  • - Volume 2012
  • - Article ID 104963
  • - Editorial

High-Performance Reconfigurable Computing

Khaled Benkrid | Esam El-Araby | ... | Thomas Steinke
  • Special Issue
  • - Volume 2012
  • - Article ID 925864
  • - Research Article

A Convolve-And-MErge Approach for Exact Computations on High-Performance Reconfigurable Computers

Esam El-Araby | Ivan Gonzalez | ... | Tarek El-Ghazawi
  • Special Issue
  • - Volume 2012
  • - Article ID 752910
  • - Review Article

High Performance Biological Pairwise Sequence Alignment: FPGA versus GPU versus Cell BE versus GPP

Khaled Benkrid | Ali Akoglu | ... | Xiang Tian
  • Special Issue
  • - Volume 2012
  • - Article ID 564704
  • - Research Article

An Evaluation of an Integrated On-Chip/Off-Chip Network for High-Performance Reconfigurable Computing

Andrew G. Schmidt | William V. Kritikos | ... | Ron Sass
  • Special Issue
  • - Volume 2012
  • - Article ID 163542
  • - Research Article

A Coarse-Grained Reconfigurable Architecture with Compilation for High Performance

Lu Wan | Chen Dong | Deming Chen
  • Special Issue
  • - Volume 2012
  • - Article ID 201378
  • - Research Article

A Protein Sequence Analysis Hardware Accelerator Based on Divergences

Juan Fernando Eusse | Nahri Moreano | ... | Ricardo Pezzuol Jacobi
  • Special Issue
  • - Volume 2012
  • - Article ID 646984
  • - Research Article

Optimizing Investment Strategies with the Reconfigurable Hardware Platform RIVYERA

Christoph Starke | Vasco Grossmann | ... | Manfred Schimmler
  • Special Issue
  • - Volume 2012
  • - Article ID 241439
  • - Research Article

The “Chimera”: An Off-The-Shelf CPU/GPGPU/FPGA Hybrid Computing Platform

Ra Inta | David J. Bowman | Susan M. Scott
  • Special Issue
  • - Volume 2012
  • - Article ID 507173
  • - Research Article

Throughput Analysis for a High-Performance FPGA-Accelerated Real-Time Search Application

Wim Vanderbauwhede | S. R. Chalamalasetti | M. Margala
International Journal of Reconfigurable Computing
 Journal metrics
See full report
Acceptance rate8%
Submission to final decision107 days
Acceptance to publication23 days
CiteScore6.100
Journal Citation Indicator0.430
Impact Factor4.3
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