A Massively-Parallel SIMD Processor for Neural Network and Machine Vision Applications
Abstract
This paper describes the MM32k, a massively-parallel SIMD com(cid:173) puter which is easy to program, high in performance, low in cost and effective for implementing highly parallel neural network ar(cid:173) chitectures. The MM32k has 32768 bit serial processing elements, each of which has 512 bits of memory, and all of which are inter(cid:173) connected by a switching network. The entire system resides on a single PC-AT compatible card. It is programmed from the host computer using a C++ language class library which abstracts the parallel processor in terms of fast arithmetic operators for vectors of variable precision integers.
Cite
Text
Glover and Iii. "A Massively-Parallel SIMD Processor for Neural Network and Machine Vision Applications." Neural Information Processing Systems, 1993.Markdown
[Glover and Iii. "A Massively-Parallel SIMD Processor for Neural Network and Machine Vision Applications." Neural Information Processing Systems, 1993.](https://mlanthology.org/neurips/1993/glover1993neurips-massivelyparallel/)BibTeX
@inproceedings{glover1993neurips-massivelyparallel,
title = {{A Massively-Parallel SIMD Processor for Neural Network and Machine Vision Applications}},
author = {Glover, Michael A. and Iii, W. Thomas Miller},
booktitle = {Neural Information Processing Systems},
year = {1993},
pages = {843-849},
url = {https://mlanthology.org/neurips/1993/glover1993neurips-massivelyparallel/}
}