In this paper, a two-dimensional systolic array for backpropagation neural network is presented. The design is based on the classical systolic algorithm of ...
J. Parallel Distributed Comput. 2000. This paper presents a mapping scheme for the proposed implementation of neural network models on systolic arrays. The ...
A systolic array exploiting the inherent parallelisms of artificial neural networks. Authors: Jai-Hoon Chung. Jai-Hoon Chung. View Profile. , Hyunsoo Yoon.
In this paper, a two-dimensional systolic array for backpropagation neural network is presented. The design is based on the classical systolic algorithm of ...
To exploit the spatial parallelism, we do not consider the one-dimensional arrays. And to efficiently organize the systolic array even for a network in which ...
Abstract: A two-dimensional systolic array for a backpropagation neural network is presented. The design is based on the classical systolic algorithm of ...
This document presents a two-dimensional systolic array design for implementing backpropagation neural networks. The design exploits three types of parallelism: ...
A Systolic Array Exploiting the Inherent Parallelisms of Artificial Neural Networks ; Publisher: ICPP ; Issue Date: 1991-06-01 ; Language: ENG ; Citation. ICPP 1991 ...
EXPLOITING THE INHERENT PARALLELISMS OF BACK-PROPAGATION. NEURAL NETWORKS TO DESIGN A SYSTOLIC ARRAY. Jai-Hoon Chung, Hyunsoo Yoon, and Seung Ryoul Maeng.
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What do neural networks simulate the underlying concepts of?
The highly interconnected structures of neural networks can be mapped onto the regular structure of a systolic array, and the massive parallelism can be.