Name
Abstract | ||
|---|---|---|
ABSTRACTThis paper provides a performance evaluation and trade-off analysis of a novel chip architecture for neuromorphic computing, especially focused on the memory subsystems and the Network-On-Chip (NoC). More precisely, we study the performance-related effect of the number of memory modules, as well as that of allowing direct core-to-core communication. Our simulation-based experimental work throws many interesting results on the above aspects and allows to ensure that congestion at the NoC-level is unlikely to degrade performance. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1145/3203217.3203268 | CF |
Keywords | Field | DocType |
Biologically Inspired Architecture, Neuromorphic Computing, Networks on Chip, Performance Evaluation, Systems on Chip | Computer architecture,Architecture,Computer science,Parallel computing,Network on a chip,Neuromorphic engineering,Chip architecture | Conference |
Citations | PageRank | References |
0 | 0.34 | 8 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Markos Kynigos | 1 | 0 | 0.68 |
| Javier Navaridas | 2 | 201 | 23.58 |
| L. A. Plana | 3 | 786 | 59.01 |
| S. B. Furber | 4 | 1484 | 179.05 |