Technical Report Number
The algorithmic analysis, data collection, and statistical analysis required to isolate the cause of time variability observed while an Elman style recurrent neural network is trained in parallel on a twenty processor SPARCcenter 2000 is described in detail. Correlations of system metrics indicate the operating system scheduler or an interaction of kernel processes is the most probable explanation for the variability.
Seawell, Tina L. and Kalman, Barry L., "Time Variability While Training a Parallel Neural Net Network" Report Number: WUCS-95-27 (1995). All Computer Science and Engineering Research.
Permanent URL: http://dx.doi.org/10.7936/K73J3B6N