Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

An On-Chip Network Fabric Supporting Coarse-Grained Processor Array

Authors
Phi-Hung PhamPhuong MauKim, JungmoonKim, Chulwoo
Issue Date
Jan-2013
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
Coarse grained array (CGA); network-on-chip (NoC); on-chip communication network; reconfigurable computing
Citation
IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS, v.21, no.1, pp.178 - 182
Indexed
SCIE
SCOPUS
Journal Title
IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS
Volume
21
Number
1
Start Page
178
End Page
182
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/104299
DOI
10.1109/TVLSI.2011.2181546
ISSN
1063-8210
Abstract
Coarse grained arrays (CGAs) with run-time reconfigurability play an important role in accelerating reconfigurable computing applications. It is challenging to design on-chip communication networks (OCNs) for such CGAs with dynamic run-time reconfigurability whilst satisfying the tight budgets of power and area for an embedded system. This paper presents a silicon-proven design of a 64-PE circuit-switched OCN fabric with a dynamic path-setup scheme capable of supporting an embedded coarse-grained processor array. A proof-of-concept test chip fabricated in a 0.13 mu m CMOS process occupies a silicon area of 23 mm(2) and consumes a peak power of 200 mW @ 128 MHz and 1.2 Vcc, at room temperature. The OCN overhead consumes 9.4% of the area and 18% of the power of the total chip. Experimental results and analysis show that the proposed OCN fabric with its dynamic path-setup is suitable for use in an embedded CGA supporting fast run-time reconfigurability.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > School of Electrical Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetrics

Total Views & Downloads

BROWSE