Title :
CNN model on stream processing platform
Author :
Füredi, László ; Szolgay, Péter
Author_Institution :
Fac. of Inf. Technol., Pazmany Peter Catholic Univ., Budapest, Hungary
Abstract :
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) 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.
Keywords :
cellular neural nets; parallel architectures; parallel machines; system-on-chip; ALU; CNN-UM model; SPI; SPP; SoC; Storm-1 stream processing platform; Stream processor Incorporation; VLIW; arithmetic logic unit; cellular neural networks universal machine; computer system architecture; parallel processing array; system-on-chip; very long instruction word; Cellular neural networks; Computer aided instruction; Computer architecture; Digital signal processing; Information technology; Kernel; Logic arrays; Parallel processing; System-on-a-chip; VLIW;
Conference_Titel :
Circuit Theory and Design, 2009. ECCTD 2009. European Conference on
Conference_Location :
Antalya
Print_ISBN :
978-1-4244-3896-9
Electronic_ISBN :
978-1-4244-3896-9
DOI :
10.1109/ECCTD.2009.5275115
