Time Variability While Training a Parallel Neural Net Network

Authors

Tina L. Seawell, Washington University in St Louis
Barry L. Kalman, Washington University in St Louis

Document Type

Technical Report

Department

Computer Science and Engineering

Publication Date

1995-01-01

Filename

WUCS-95-27.PDF

Technical Report Number

WUCS-95-27

Abstract

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.

Comments

Permanent URL: http://dx.doi.org/10.7936/K73J3B6N

Recommended Citation

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.
https://openscholarship.wustl.edu/cse_research/385