搜索资源列表
MonteCarlo
- 采用GPU通用计算API（CUDA）实现蒙特卡罗方程。-The use of general-purpose GPU computing API (CUDA) the realization of the Monte Carlo equation.
buffon_needle
- Estimate Pi value using Monte Carlo Method and Buffon Needle Technique
mpi_pi
- MPI monte-carlo PI calculation
monteCarlo09052010
- Monte carlo methed for finding area
mcnp-mpi.caj
- 蒙特卡罗程序MCNP_与MCNP_5并行效率比较 -Monte Carlo program MCNP_ parallel efficiency compared with MCNP_5
pie
- monte carlo estimate value of pie
ques_1
- Tittle: MPI based parallel program to calculate the value of PI using monte-carlo simulation method
Monte-carlo
- matlab源程序_用蒙特卡洛法实现对排队等待问题的计算机模拟 来自51CTO-matlab source _ the method of Monte Carlo computer simulation of waiting in line From 51CTO
randomizer_V2.1
- Monte Carlo 随机数生成程序，可用于蒙特卡罗仿真-Monte-Carlo random
PNNL_QA-master
- Uncertainty Quantification, Multilevel Monte Carlo, Probabilistic Collocation Methods
mpi_pi_calc.f90
- a fortran code that parallel calculates PI with the monte carlo approach. Written by John Burkhart
Monte-Carlo-simulation-code
- 这份资料介绍了如何用C#实现蒙特卡罗仿真的一个案例-This document describes how to use C# implementation of a Monte Carlo simulation case
PI
- 编程并行计算圆周率,利用蒙特卡洛算法求π值-Programming parallel computation of PI, the use of monte carlo algorithm is the value of PI
Project-Igi
- Process variations have increased significantly with scaling technologies. This has led to deviations in analog circuit performance from their expected values. For submicron design, it is essential to simulate the circuit at all process corn
MonteCarloMultiGPU
- 蒙特卡罗方法 GPU并行计算 cuda 计算程序-Monte Carlo Method GPU Parallel CUDA
ppt264
- 电力系统的可靠性计算问题，使用了蒙特卡洛模拟法建立了微电网数学模型。-Calculation of reliability of the power system, the establishment of a micro-grid mathematical model using Monte Carlo simulation.
ppt5261
- 电力系统的可靠性计算问题，使用了蒙特卡洛模拟法建立了微电网数学模型。-Calculation of reliability of the power system, the establishment of a micro-grid mathematical model using Monte Carlo simulation.
MPI-and-OpenMP-parallel-programming
- 《MPI与OpenMP并行程序设计(C语言版)》是美国Oregon州立大学的Michael J.Quinn教授在多年讲授“并行程序设计”课程的基础上编写而成的，主要介绍用C语言，并结合使用MPI和OpenMP进行并行程序设计，内容包括并行体系结构、并行算法设计、消息传递编程、Eratosthenes 筛法、Floyd 算法、性能分析、矩阵向量乘法、文档分类、蒙特卡洛法、矩阵乘法、线性方程组求解、有限差分方法、排序、快速傅立叶变换、组合搜索、共享存储编程、融合OpenMP和MPI以及5个附录。-&
蒙特卡洛光子实验
- 基于WINDOWS平台下，VC，英特尔显卡的蒙特卡洛光子实验。(Based on the WINDOWS platform, VC, Intel graphics video Monte Carlo photon experiment.)
Pi
- 运用蒙特卡洛方法计算π，多线程计算。创建几个线程，每个线程都会生成随机点并确定点是否落在圆圈内。 每个线程都必须更新圈内所有点的全局计数。 一旦所有线程退出，父线程将计算并输出π的估计值。 使用互斥锁或信号量保护共享全局变量更新时的竞争条件。 值得尝试生成的随机点的数量。 作为一般规则，点的数量越大，近似值越接近π。(Estimating Pi using Monte Carlo)