Accelerating RBF Network Simulation by Using Multimedia Extensions of Modern Microprocessors

Authors:
Alfred Strey;Martin Bange
Affiliations:
-;-
Venue:
ICANN '01 Proceedings of the International Conference on Artificial Neural Networks
Year:
2001

Citing 6
Cited 0

Intel MMX for multimedia PCs

Communications of the ACM
Internet Streaming SIMD Extensions

Computer
VIS Speeds New Media Processing

IEEE Micro
AMD 3DNow! Technology: Architecture and Implementations

IEEE Micro
AltiVec Extension to PowerPC Accelerates Media Processing

IEEE Micro
Evaluating Micro-Processors Multimedia Extensions for the Real-Time Simulation of RBF Networks

MICRONEURO '99 Proceedings of the 7th International Conference on Microelectronics for Neural, Fuzzy and Bio-Inspired Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

All modern microprocessors offer multimedia extensions that can accelerate many applications based on vector and matrix operations. In this paper the suitability of such units for the fast simulation of RBF networks is analyzed. It is shown that the reduced arithmetic precision is sufficient for recognition and training if rounding is supported. An experimental performance study revealed a high speedup in the range from 2 to 10 compared to sequential implementations.