DocumentCode :
2173281
Title :
Assessing fat-tree topologies for regular network-on-chip design under nanoscale technology constraints
Author :
Ludovici, D. ; Gilabert, F. ; Medardoni, S. ; Gómez, C. ; Gómez, M.E. ; López, P. ; Gaydadjiev, G.N. ; Bertozz, D.
Author_Institution :
Comput. Eng. Lab., Delft Univ. of Technol., Delft
fYear :
2009
fDate :
20-24 April 2009
Firstpage :
562
Lastpage :
565
Abstract :
Most of past evaluations of fat-trees for on-chip interconnection networks rely on oversimplifying or even irrealistic architecture and traffic pattern assumptions, and very few layout analyses are available to relieve practical feasibility concerns in nanoscale technologies. This work aims at providing an in-depth assessment of physical synthesis efficiency of fat-trees and at extrapolating silicon-aware performance figures to back-annotate in the system-level performance analysis. A 2D mesh is used as a reference architecture for comparison, and a 65 nm technology is targeted by our study. Finally, in an attempt to mitigate the implementation cost of k-ary n-tree topologies, we also review an alternative unidirectional multi-stage interconnection network which is able to simplify the fat-tree architecture and to minimally impact performance.
Keywords :
extrapolation; integrated circuit interconnections; integrated circuit layout; nanoelectronics; network topology; network-on-chip; extrapolation; fat-tree topology; layout analysis; nanoscale technology; network-on-chip design; on-chip interconnection network; system-level performance analysis; traffic pattern; Computer architecture; Costs; Multiprocessor interconnection networks; Network synthesis; Network topology; Network-on-a-chip; Parallel processing; Scalability; Switches; Telecommunication traffic;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Design, Automation & Test in Europe Conference & Exhibition, 2009. DATE '09.
Conference_Location :
Nice
ISSN :
1530-1591
Print_ISBN :
978-1-4244-3781-8
Type :
conf
DOI :
10.1109/DATE.2009.5090727
Filename :
5090727
Link To Document :
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