Software for ANN Training on a Ring Array Processor
Abstract
Experimental research on Artificial Neural Network (ANN) algorithms requires either writing variations on the same program or making one monolithic program with many parameters and options. By using an object-oriented library, the size of these experimental programs is reduced while making them easier to read, write and modify. An efficient and flexible realization of this idea is Connection(cid:173) ist Layered Object-oriented Network Simulator (CLONES). CLONES runs on UNIX1 workstations and on the 100-1000 MFLOP Ring Array Processor (RAP) that we built with ANN algorithms in mind. In this report we describe CLONES and show how it is implemented on the RAP.
Cite
Text
Kohn et al. "Software for ANN Training on a Ring Array Processor." Neural Information Processing Systems, 1991.Markdown
[Kohn et al. "Software for ANN Training on a Ring Array Processor." Neural Information Processing Systems, 1991.](https://mlanthology.org/neurips/1991/kohn1991neurips-software/)BibTeX
@inproceedings{kohn1991neurips-software,
title = {{Software for ANN Training on a Ring Array Processor}},
author = {Kohn, Phil and Bilmes, Jeff and Morgan, Nelson and Beck, James},
booktitle = {Neural Information Processing Systems},
year = {1991},
pages = {781-788},
url = {https://mlanthology.org/neurips/1991/kohn1991neurips-software/}
}