• [email protected]
  • +971 507 888 742
Submit Manuscript
SciAlert
  • Home
  • Journals
  • Information
    • For Authors
    • For Referees
    • For Librarian
    • For Societies
  • Contact
  1. Journal of Artificial Intelligence
  2. Vol 6 (1), 2013
  3. 8-21
  • Online First
  • Current Issue
  • Previous Issues
  • More Information
    Aims and Scope Editorial Board Guide to Authors Article Processing Charges
    Submit a Manuscript

Journal of Artificial Intelligence

Year: 2013 | Volume: 6 | Issue: 1 | Page No.: 8-21
DOI: 10.3923/jai.2013.8.21

Facebook Twitter Digg Reddit Linkedin StumbleUpon E-mail

Article Trend



Total views 506

Search


Authors


M. Maheswari

Country: India

Keywords


  • ASIC
  • ASNoC
  • FPGA
  • genetic algorithm
  • low power
  • custom topology
  • NoC
Research Article

A Novel Custom Topology Generation for Application Specific Network-on-chip Using Genetic Algorithm Optimization Technique

M. Maheswari
In Networks-on-chips (NoC), the main sources of power consumption are global interconnection links and routers. In Application Specific NoC (ASNoC) power can be minimized by mapping the cores on the application specific topology (custom topology) rather than mapping on the standard topologies. In ASNoC, the design of the topology plays an important role in minimizing the power consumption and hop count. In this study, we propose a novel topology generation algorithm using genetic algorithm optimization technique to generate a custom topology for ASNoC architectures. We applied the proposed algorithm to six benchmark video applications MPEG 4 decoder, VOPD, MWD, mp3 audio encoder, mp3 audio decoder and DSP. The proposed topology generation algorithm achieves significant amount of power saving and decrease in the average number of hop count compared to the existing custom topology generation algorithms.
PDF Fulltext XML References Citation

How to cite this article

M. Maheswari, 2013. A Novel Custom Topology Generation for Application Specific Network-on-chip Using Genetic Algorithm Optimization Technique. Journal of Artificial Intelligence, 6: 8-21.

DOI: 10.3923/jai.2013.8.21

URL: https://scialert.net/abstract/?doi=jai.2013.8.21

Related Articles

Genetic Load and Time Prediction Technique for Dynamic Load Balancing in Grid Computing
Numerical Assessment of Path Planning for an Autonomous Robot Passing through Multi-layer Barrier Systems using a Genetic Algorithm
A Cloud-Based Collaborative Manufacturing Resource Sharing Services
A Novel Fast and Efficient Evolutionary Method for Optimal Design of Proportional Integral Derivative Controllers for Automatic Voltage Regulator Systems
A Fast Evolutionary Algorithm for Automatic Evolution of Clusters

Leave a Comment


Your email address will not be published. Required fields are marked *

Useful Links

  • Journals
  • For Authors
  • For Referees
  • For Librarian
  • For Socities

Contact Us

Office Number 1128,
Tamani Arts Building,
Business Bay,
Deira, Dubai, UAE

Phone: +971 507 888 742
Email: [email protected]

About Science Alert

Science Alert is a technology platform and service provider for scholarly publishers, helping them to publish and distribute their content online. We provide a range of services, including hosting, design, and digital marketing, as well as analytics and other tools to help publishers understand their audience and optimize their content. Science Alert works with a wide variety of publishers, including academic societies, universities, and commercial publishers.

Follow Us
© Copyright Science Alert. All Rights Reserved