Bio-inspired massively parallel architectures for nanotechnologies

Author

Jäger, Björn ; Porrmann, Mario ; Rückert, Ulrich

Author_Institution

Heinz Nixdorf Inst., Paderborn Univ.

fYear

2006

fDate

21-24 May 2006

Lastpage

1964

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

Keywords

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; Algorithm design and analysis; Analytical models; Biological systems; Circuits; Energy consumption; Nanobioscience; Neural networks; Parallel algorithms; Parallel architectures; Runtime;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2006. ISCAS 2006. Proceedings. 2006 IEEE International Symposium on

Conference_Location

Island of Kos

Print_ISBN

0-7803-9389-9

Type

conf

DOI

10.1109/ISCAS.2006.1692996

Filename

1692996