Title
Loop Acceleration By Cluster-Based Cgra
Abstract
This paper presents a cluster-based coarse grained reconfigurable array (CGRA) architecture and a corresponding modulo scheduling method for the inner-most loop. The reconfigurable clusters in this CGRA are composed of generic processing elements (PE) and shared PEs. The local connectivity of a cluster is utilized in the proposed mapping heuristic. Routing in the PE array is avoided because data transmission is within a cluster or between adjacent clusters in the heuristic. Experiment shows that the architecture and method outperform other modulo scheduling algorithms on CGRA. Better execution delay and resource utilization ratio can be achieved at 9.8%.
Year
DOI
Venue
2013
10.1587/elex.10.20130506
IEICE ELECTRONICS EXPRESS
Keywords
Field
DocType
CGRA, modulo scheduling, cluster-based
Computer science,Parallel computing,Acceleration
Journal
Volume
Issue
ISSN
10
16
1349-2543
Citations 
PageRank 
References 
3
0.39
0
Authors
3
Name
Order
Citations
PageRank
Li Zhou130.39
Hengzhu Liu28623.28
Jianfeng Zhang3204.70