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Proceedings Paper

Tiled architecture of a CNN-mostly IP system
Author(s): Lambert Spaanenburg; Suleyman Malki
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Paper Abstract

Multi-core architectures have been popularized with the advent of the IBM CELL. On a finer grain the problems in scheduling multi-cores have already existed in the tiled architectures, such as the EPIC and Da Vinci. It is not easy to evaluate the performance of a schedule on such architecture as historical data are not available. One solution is to compile algorithms for which an optimal schedule is known by analysis. A typical example is an algorithm that is already defined in terms of many collaborating simple nodes, such as a Cellular Neural Network (CNN). A simple node with a local register stack together with a 'rotating wheel' internal communication mechanism has been proposed. Though the basic CNN allows for a tiled implementation of a tiled algorithm on a tiled structure, a practical CNN system will have to disturb this regularity by the additional need for arithmetical and logical operations. Arithmetic operations are needed for instance to accommodate for low-level image processing, while logical operations are needed to fork and merge different data streams without use of the external memory. It is found that the 'rotating wheel' internal communication mechanism still handles such mechanisms without the need for global control. Overall the CNN system provides for a practical network size as implemented on a FPGA, can be easily used as embedded IP and provides a clear benchmark for a multi-core compiler.

Paper Details

Date Published: 28 May 2009
PDF: 10 pages
Proc. SPIE 7363, VLSI Circuits and Systems IV, 736313 (28 May 2009); doi: 10.1117/12.821904
Show Author Affiliations
Lambert Spaanenburg, Lund Univ. (Sweden)
Suleyman Malki, Lund Univ. (Sweden)

Published in SPIE Proceedings Vol. 7363:
VLSI Circuits and Systems IV
Teresa Riesgo; Eduardo de la Torre; Leandro Soares Indrusiak, Editor(s)

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