搜索资源列表
GuideandMeasurementReportofUsingpMatlab
- pMatlab is a toolsbox from MIT for running matlab in parallel style on a multi-core PC or a cluster environment. These two documents summary the usage of pMatlab and running time measurements on three simple Monte Carlo simulation codes.
DE.python
- Python实现的差分进化算法源代码 使用Python实现的差分进化算法，引用到Numpy和Scipy，可以支持多核与集群并行计算。使用时只需继承DESolver并定义函数def error_func(self, indiv, *args)作为目标函数即可。-Python implementation of the differential evolution algorithm source code uses the Python implementation of the differ
Fast-K-means-clustering
- Fast mex K-means clustering algorithm with possibility of K-mean++ initialization (mex-interface modified from the original yael package https://gforge.inria.fr/projects/yael) - Accept single/double precision input - Support of BLAS/OpenMP
PrimeSingle
- 求某范围内得素数，我们多核试验提供得，老师让把它并行化-A framework for a prime number, we provide a multi-core test, the teacher let it parallelization
capi-0.21
- CAPI多核编程算法库0.21版，里面有分布式队列、分布式查找、分布式内存管理、任务图调度、动态任务调度等多种容器，新增了CWaitTaskScheduler任务调度容器和并行Strassen矩阵乘法等。-CAPI programming algorithm for multi-core library version 0.21, which are distributed queue, distributed search, distributed memory management, tas
Vsvm3.0
- Vsvm3.0是一款window系统下运行的可视化svm算法工具，除了普通的分类和回归算法，还带有多目标回归预测；内含多种参数方式和序列极小化特征选择算法；并且支持多核并行运算-Vsvm3.0 is a window system running svm algorithm visualization tool, in addition to general classification and regression algorithms, but also with a multi-objec
pi
- Monte Carlo Method PS3 SPE多核心平行計算 pi-Monte Carlo Method PS3 SPE multi-core parallel computing pi
svmlight-6.01
- 这个源码是用来学习支持向量机的，里面包含了多核函数。-This source is used to support vector machine learning, which includes multi-core function.
sanweichangjingchonggou
- 移动机器人对其工作环境的有效辨识、感知与重构，是其自主导航与环境探索的基 础和前提条件。为实现非结构化环境的三维场景重构，本文在自主移动机器人平台上构 建了三维激光测距系统，设计和开发了三维场景重构软件 采用基于线段端点的ICP算 法准确快速的实现不同视点下的场景匹配 提出了基于核心场景的多场景重构策略，并 采用栅格划分法对重合区域进行数据精简，从而实现大范围三维场景重构。本文通过对 算法的实现和实验数据的比较分析，尝试对非结构化环境三维场景重构问题进行创新性 的探索与研
biggest-and-smallest-from-given-three-numbers
- code for biggest and smallest from given three numbers in multi core programming
FunctionReferenceGuide
- 工程师和科学家们面临着用更少的时间建立复杂系统模型的需求，他们使用分布式和并 行计算来解决高性能计算的问题。这些分布式的环境由多处理器和多核计算机来实现。 Mathworks公司开发的分布式计算工具箱可以在多处理器计算环境中使用 MATLAB 和imulink 解决计算、数据密集型问题。可以使用该工具箱解决通过装配多个处理器包含几个单独工作单位或单个大型计算的问题。这些处理器可以驻留在一个多处理器计算机，或者，当工具箱配合 MATLAB 分布式计算引擎时，驻留在计算机集群上。-Engin
ParallelFortranP95PusingPOpenMP
- 多核并行fortran计算很好的书籍，openmp，不是mpi哦-Fortran parallel multi-core computing good books, openmp, mpi oh not
three-core-nonlinear-fiber-coupler
- 适用于三芯非线性光纤耦合器的耦合输出计算，对研究多芯非线性光纤耦合器很有用- Applicable to Calculate the coupling output of the three-core nonlinear fiber coupler , and be useful for the study of multi-core nonlinear fiber coupler
simplemulti-kernel-svm
- 经典的多核学习工具箱，功能强大，内容全面-The classic multi-core learning toolbox, powerful, comprehensive
project1
- 使用多个akka actor分布式计算完美平方数-An interesting problem in arithmetic with deep implications to elliptic curve theory is the problem of nding perfect squares that are sums of consecutive squares. use Scala and the actor model to build a good solution
MCF
- 代码描述了多芯光纤的基本传输模型，其中包括了损耗，色散，非线性，以及芯与芯之间的串扰。-Code describes the basic model of the multi-core optical fiber transmission, including crosstalk loss, dispersion, nonlinearity, and between the core and the core.
mLSMI
- 本例是采用多核的最小二乘方法来直接估计互信息-This example is the use of multi-core direct least squares method to estimate mutual information
lz4-master
- lz4 是个无损压缩算法。在双核的CPU下运行，每个核的压缩速度为400 MB/s 。他也是一个非常快的解压缩算法，特别是在RAM运行速度达到极限。-LZ4 is lossless compression algorithm, providing compression speed at 400 MB/s per core, scalable with multi-cores CPU. It also features an extremely fast decoder, with speed
simpleMKL
- 多核学习之simpleMKL工具箱，里面包含了simpleMKL算法和MKL-wrapper算法，其中原始工具箱中MKL-wrapper不能运行，此处已进行了修正。-Multi-core learning simpleMKL toolbox, containing the simpleMKL algorithm and MKL- wrapper algorithm, the original toolbox MKL- wrapper can not run, has been revised.
SILPMKL
- 用于回归的多核学习之MKL-wrapper算法程序，编写语言为python，运行环境为linux。-For multi-core the MKL- wrapper of learning algorithm of regression procedure, is the written language python, running environment for Linux.