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Architecture of a Fully Pipelined Real-Time Cellular Neural Network Emulator.
- Source :
-
IEEE Transactions on Circuits & Systems. Part I: Regular Papers . Jan2015, Vol. 62 Issue 1, p130-138. 9p. - Publication Year :
- 2015
-
Abstract
- In this paper, architecture of a Real-Time Cellular Neural Network (CNN) Processor (RTCNNP-v2) is given and the implementation results are discussed. The proposed architecture has a fully pipelined structure, capable of processing full-HD 1080p@60 (1920 \times 1080 resolution at 60 Hz frame rate, 124.4 MHz visible pixel rate) video streams, which is implemented on both high-end and low-cost FPGA devices, Altera Stratix IV GX 230, and Cyclone III C 25, respectively. Many features of the architecture are designed to be either pre-synthesis configurable or runtime programmable, which makes the processor extremely flexible, reusable, scalable, and practical. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 15498328
- Volume :
- 62
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- IEEE Transactions on Circuits & Systems. Part I: Regular Papers
- Publication Type :
- Periodical
- Accession number :
- 100348592
- Full Text :
- https://doi.org/10.1109/TCSI.2014.2345502