Parallelization of Algorithms with Recurrent Neural Networks

被引：0
|
作者：
Pedro Neto, Joao [1 ]
Silva, Fernando [1 ]
机构：
[1] Univ Lisbon, Fac Sci, Dept Informat, P-1699 Lisbon, Portugal
来源：
ADAPTIVE AND NATURAL COMPUTING ALGORITHMS, PT I | 2011年 / 6593卷
关键词：
Neural Networks; Parallelization; Symbolic Computing; COMPUTATION;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Neural networks can be used to describe symbolic algorithms like those specified in high-level programming languages. This article shows how to translate these network description of algorithms into a more suitable format in order to feed an arbitrary number of parallel' processors to speed-up the computation of sequential and parallel algorithms.
引用
收藏
页码：61 / 69
页数：9
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