Title :
Performance and caching issues in an integration of neural net and conventional PC
Author :
Gosasang, Veerachai ; Tanprasert, Thitipong
Author_Institution :
Fac. of Sci. & Technol., Assumption Univ., Bangkok, Thailand
fDate :
6/24/1905 12:00:00 AM
Abstract :
This paper presents an analysis on the integration of Neural Network hardware to PC and a solution to the cache coherence problem. An analysis is achieved by determining clock cycles in CPU operation compared to mixed CPU-ANN mode. Cache coherence problem is resolved by hardware-based protocol executed on an additional cache consistency controller
Keywords :
cache storage; neural net architecture; parallel architectures; performance evaluation; CPU-ANN; cache coherence; neural architecture; neural network computation; neural network hardware; performance; Artificial neural networks; Central Processing Unit; Clocks; Coherence; Computational modeling; Computer networks; Neural network hardware; Neural networks; Performance analysis; Random access memory;
Conference_Titel :
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7278-6
DOI :
10.1109/IJCNN.2002.1005534
