Title :
Performance of digital neuro-computers
Author :
Cornu, Thierry ; Ienne, Paolo
Author_Institution :
MANTRA Centre for Neuro-Mimetic Syst., Swiss Federal Inst. of Technol., Lausanne, Switzerland
Abstract :
This paper deals with performance measurement and evaluation of digital neuro-computers. We discuss the constraints introduced by hardware implementations. A revisited definition of computer speed-up is then proposed, taking into account both the traditional notion of parallelization speed-up and the algorithmic precision of the machines. Finally we show, on the example of the Kohonen feature map algorithm, how a fair benchmarking procedure can be established to evaluate digital neuro-computers more significantly than using the traditional Mcups metric
Keywords :
neural net architecture; parallel architectures; parallel machines; performance evaluation; self-organising feature maps; Kohonen feature map algorithm; Mcups metric; algorithmic precision; benchmarking procedure; computer speed-up; digital neurocomputer performance; hardware implementations; parallelization speed-up; performance measurement; Artificial neural networks; Concurrent computing; Floating-point arithmetic; Hardware; Measurement; Parallel architectures; Parallel programming; Signal processing; Signal processing algorithms; Software libraries;
Conference_Titel :
Microelectronics for Neural Networks and Fuzzy Systems, 1994., Proceedings of the Fourth International Conference on
Conference_Location :
Turin
Print_ISBN :
0-8186-6710-9
DOI :
10.1109/ICMNN.1994.593203
