학술논문

An accelerated digital CNN-UM (CASTLE) architecture by using the pipe-line technique
Document Type
Conference
Source
Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications Cellular neural networks and their applications Cellular Neural Networks and Their Applications, 2002. (CNNA 2002). Proceedings of the 2002 7th IEEE International Workshop on. :355-362 2002
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Acceleration
Computer architecture
Cellular neural networks
Arithmetic
Registers
Automation
Image processing
System testing
Computational modeling
Field programmable gate arrays
Language
Abstract
Different CNN-UM architecture implementations, analog and emulated digital, were developed. The emulated digital architecture (CASTLE) is accurate but slower than the analog CNN-UMs. It is generally disadvantageous especially if transient computing is critical. The operation speed of the emulated digital implementations, namely CASTLE, can be increased significantly using the pipeline technique. This solution is analyzed with respect to area, time, etc. These arithmetic cores were tested and simulated using a VIRTEX FPGA development system.