Bio-inspired massively parallel architectures for nanotechnologies

被引：0

作者：

Jaeger, Bjoern ^{[1
]}

Porrmann, Mario ^{[1
]}

Rueckert, Ulrich ^{[1
]}

机构：

[1] Univ Gesamthsch Paderborn, Heinz Nixdorf Inst Syst & Circuit Technol, German Res Fdn, Graduiertenkolleg 776, Paderborn, Germany

来源：

2006 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1-11, PROCEEDINGS | 2006年

关键词：

D O I：

10.1109/ISCAS.2006.1692996

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

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(1) architecture as a basis for the different CMP architectures.

引用

页码：1961 / +

页数：2

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