CNN Model on Stream Processing Platform

被引：2
|
作者：
Furedi, Laszlo [1 ]
Szolgay, Peter [1 ]
机构：
[1] Pazmany Peter Catholic Univ Budapest, Fac Informat Technol, Budapest, Hungary
来源：
2009 EUROPEAN CONFERENCE ON CIRCUIT THEORY AND DESIGN, VOLS 1 AND 2 | 2009年
关键词：
ARRAY;
D O I：
10.1109/ECCTD.2009.5275115
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Stream processor, Inc. (SPI) has introduced the Storm-1 stream processing System-on-a-Chip (SoC) which contains 16 data-parallel processing arrays with five Very Long Instruction Word (VLIW[1]) Arithmetic Logic Units (ALUs) in each lane (altogether 80 processing units). In the paper the implementation of emulated-digital Cellular Neural Networks Universal Machine (CNN-UM) simulation kernel on the Storm-1 Stream Processing Platform (SPP) is described and optimized according to the special requirements of SPP. The area/speed/power tradeoffs of our solution and other emulated digital CNN implementations are also compared.
引用
收藏
页码：843 / 846
页数：4
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