Large Neural Net Simulation under Beowulf-Like Systems
نویسندگان
چکیده
/n this work we broach the problem of large neural network simulation using low-cost distributed systems. We have developed for the purpose high-performance client-server simulation software, where the server runs on a multiproeessor Beowulf system. On the basis of a performance analysis, we propose an estimator for the simulation time.
منابع مشابه
BEOWULF: A Parallel Workstation for Scientific Computation
{ Network-of-Workstations technology is applied to the challenge of implementing very high performance workstations for Earth and space science applications. The Beowulf parallel workstation employs 16 PC-based processing modules integrated with multiple Ether-net networks. Large disk capacity and high disk to memory bandwidth is achieved through the use of a hard disk and controller for each p...
متن کاملAnalytical modelling and simulation of small scale, typical and highly available Beowulf clusters with breakdowns and repairs
Beowulf clusters are very popular because of the high computational power they can provide at reasonably low costs. However, the most pressing issues of today’s cluster solutions are the need for high availability and performance. Cluster systems are clearly prone to failures. Even if cover is provided with some probability c, there would be reconfiguration and/ or rebooting delays to resume th...
متن کاملDecentralized Adaptive Control of Large-Scale Non-affine Nonlinear Time-Delay Systems Using Neural Networks
In this paper, a decentralized adaptive neural controller is proposed for a class of large-scale nonlinear systems with unknown nonlinear, non-affine subsystems and unknown nonlinear time-delay interconnections. The stability of the closed loop system is guaranteed through Lyapunov-Krasovskii stability analysis. Simulation results are provided to show the effectiveness of the proposed approache...
متن کاملLES Applications on Parallel Systems
A Large Eddy Simulation code based on a non-orthogonal, multiblock, finite volume approach with co-located variable storage, was ported to three different parallel architectures: a Cray T3E/1200E, an Alpha cluster and a PC Beowulf cluster. Scalability and parallelisation issues have been investigated, and merits as well as limitations of the three implementations are reported. Representative LE...
متن کاملPipelining of Fuzzy ARTMAP without matchtracking: Correctness, performance bound, and Beowulf evaluation
Fuzzy ARTMAP neural networks have been proven to be good classifiers on a variety of classification problems. However, the time that Fuzzy ARTMAP takes to converge to a solution increases rapidly as the number of patterns used for training is increased. In this paper we examine the time Fuzzy ARTMAP takes to converge to a solution and we propose a coarse grain parallelization technique, based o...
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 1999