Name
Abstract | ||
|---|---|---|
Massively parallel single-chip multiprocessors (CMP) share a number of traits with biological systems such as neural networks. These biological systems have therefore inspired a number of concepts that may help to overcome some of the problems that will come up in future circuit technologies. In this work we present a first comparison of CMPs based on processor cores of different complexity and estimate the efficiency of CMPs with regards to overall performance and energy consumption. The analysis is based on an analytical model of chip multiprocessing that can help to estimate the runtime and energy consumption of different parallel algorithms. As in previous work we will use the GigaNetIC architecture as a basis for the different CMP architectures |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/ISCAS.2006.1692996 | Island of Kos |
Keywords | Field | DocType |
multiprocessing systems,nanotechnology,parallel architectures,GigaNetIC architecture,bio-inspired massively parallel architectures,biological systems,circuit technologies,energy consumption,massively parallel single-chip multiprocessors,nanotechnologies,neural networks,overall performance,parallel algorithms,processor cores | Computer architecture,Algorithm design,Computer science,Massively parallel,Parallel algorithm,Chip multiprocessing,Artificial neural network,Electronic circuit,Multi-core processor,Energy consumption,Distributed computing | Conference |
ISSN | ISBN | Citations |
0271-4302 | 0-7803-9389-9 | 0 |
PageRank | References | Authors |
0.34 | 6 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bjørn Jager | 1 | 0 | 0.34 |
| Mario Porrmann | 2 | 420 | 50.91 |
| Ulrich Ruckert | 3 | 71 | 7.70 |