Parallel CFDPCSpectral Element MethodWENO本研究主要是探討NT作業系統下的個人電腦,利用MPI(Message Passing Interface)平行傳輸介面程式進行計算流體力學平行化之研究。其目的是將平行環境從專門的平行電腦移植到PC上,來達到推廣平行處理並充分利用實驗室電腦資源的雙重目的。平行環境有透過高速網路相連的分散式記憶體模式...
Application of Parallel Computing Techniques for Problems of Degenerated DiffusionSummary: We discuss parallelization of the problem of curve dynamics in plane. Related partial differential equations are based on the level set method introduced by {\\it J. A. Sethian} [Level set methods. Evolving ...
Realization and application of parallel computing in identification of dynamic model并行计算在动态模式识别中的实现和应用* ZHOU Long-sh,WANG Cong,GENG Tong,周龙沙,王聪,耿彤 Keywords: multi-core parallel computing,OpenMP,pattern recognition,deterministic learning多核并行计算,模式识别,确定性学习 Full-Text...
Monte Carlo (MC) simulations of photon transport in turbid media suffer a severe limitation represented by very high execution times in all practical cases. This problem could be approached with the technique of parallel computing, which, in principle, is very suitable for MC simulations because th...
achieved the parallel computing for the rapid recognition of compressor model under multi-dynamic patterns,by using the OpenMP multi-core programming environment and taking the Dawning server as the hardware platform.It provided an excellent application for the parallel computing in rapid pattern ...
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This example shows how to use theMATLAB®RuntimeUser Data Interface to specify the profile of a Parallel Computing Toolbox™ cluster in a Java®application. For more details, seeUsing MATLAB Runtime User Data Interface. Step 1: WriteParallel Computing ToolboxCode ...
We present an infrastructure for building parallel applications by interconnecting slightly modified pre-existing parallel components. This infrastructure (called PHIS) allows the cooperation of components that run in different parallel machines. In succ
by the contrast of the two methods.The key parameter settings are also introduced.To further explain Matlab parallel programming approach,the implementation of an instance in the cluster is provided.This paper has a certain reference value for the use of parallel computing under the Matlab ...
The application of parallel computing and distributed architecture can also improve the processing power of the algorithm. (3) Guarantee real-time requirements. In order to meet the needs of rapid response, the design of lightweight algorithms is very important. Optimizing the iterative process of...