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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ludovici, D. Gilabert, F. Medardoni, S. Gomez, C. Gomez, M.E. Lopez, P. Gaydadjiev, G.N. Bertozzi, D. |
| Copyright Year | 2009 |
| Description | Author affiliation: ENDIF, University of Ferrara, 44100, Italy (Medardoni, S.; Bertozzi, D.) || Dept. of Computer Engineering, Universidad Politecnica de Valencia, Spain (Gilabert, F.; Gomez, C.; Gomez, M.E.; Lopez, P.) || Computer Engineering Lab., Delft University of Technology, The Netherlands (Ludovici, D.; Gaydadjiev, G.N.) |
| 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. |
| Starting Page | 562 |
| Ending Page | 565 |
| File Size | 145378 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424437818 |
| ISSN | 15301591 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-04-20 |
| Publisher Place | France |
| Access Restriction | Subscribed |
| Rights Holder | European Design Automation Association (EDAA) |
| Subject Keyword | Network topology Network-on-a-chip Switches Computer architecture Multiprocessor interconnection networks Costs Telecommunication traffic Network synthesis Parallel processing Scalability |
| Content Type | Text |
| Resource Type | Article |
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