Platforms for arti cial neural networks Neurosimulators and Performance prediction of MIMD Parallel Systems
نویسندگان
چکیده
منابع مشابه
Evolving Neural Networks for Chlorophyll a Prediction
This paper studies the application of evolutionary arti cial neural networks to chlorophyll a pre diction in Lake Kasumigaura Unlike previous applications of arti cial neural networks in this eld the architecture of the arti cial neural network is evolved automatically rather than designed man ually The evolutionary system is able to nd a near optimal architecture of the arti cial neural networ...
متن کاملPANNS - A Parallelized Arti cial Neural Network Simulator
Thomas Fuerle and Erich Schikuta Institute of Applied Computer Science and Information Systems, University of Vienna, Rathausstr. 19/4, A-1010, Vienna, Austria Email: [email protected], [email protected] Abstract This paper describes the speci cation and implementation of PANNS (Parallel Arti cial Neural Network Simulator), a general purpose tool for building, running and ana...
متن کاملGenerating Parallel Code from High{level Neural Network Descriptions
Much work has been done in the area of parallel simulation of connectionist systems. However, usually parallel implementation issues for arti cial neural networks have been discussed in general terms, but the actual parallel programs implement speci c network models and are written in programming languages like C or C++. This paper deals with the transparent parallelization of neural networks. ...
متن کاملStrategies for Parallelizing Supervised and Unsupervised Learning in Arti cial Neural Networks Using the BSP Cost Model
We use the cost system of BSP (Bulk Synchronous Parallelism) to predict the performance of three di erent parallelization techniques for both supervised and unsupervised learning in arti cial neural networks. We show that exemplar parallelism outperforms techniques that partition the neural network across processors, especially when the number of exemplars is large, typical of applications such...
متن کاملPerformance Prediction of large MIMD Systems for Par - allel Neural Network
In this paper, we present a performance prediction model for indicating the performance range of MIMD parallel processor systems for neural network simulations. The model expresses the total execution time of a simulation as a function of the execution times of a small number of kernel functions, which have to be measured on only one processor and one physical communication link. The functions ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2006