Description: Matlab 自2008版本后可以进行并行运算，充分利用CPU资源，这里给出具体进行多核心运算的设置和并行计算工具箱说明-Since the 2008 version of Matlab parallel computing can take full advantage of CPU resources, here to give a specific set of multi-core computing and parallel computing toolbox description Platform: |
Size: 61440 |
Author:gprs |
Hits:
Description: 用matlab 2007以上版本的并行计算工具箱和分布式计算引擎进行并行计算编程的示例代码，具有极高的参考价值，与user s guide同步-Matlab 2007 with the above version of the Parallel Computing Toolbox and Distributed Computing Programming parallel computing engine for the sample code has a very high reference value, and user' s guide synchronization Platform: |
Size: 342016 |
Author:苗晨 |
Hits:
Description: ParInfoGain - Computes parallel information gain and gain ratio in Matlab using the Matlab Parallel Computing Toolbox or the Distributed Server (if available)
Information gain is defined as:
InfoGain(Class,Attribute) = H(Class) - H(Class | Attribute)
Gain ratio is defined as:
GainRatio(Class, Attribute) = (H(Class) - H(Class | Attribute)) / H(Attribute).
...where H is the entropy, defined as - sum(i=1 to k) pi log2 pi-ParInfoGain - Computes parallel information gain and gain ratio in Matlab using the Matlab Parallel Computing Toolbox or the Distributed Server (if available)
Information gain is defined as:
InfoGain(Class,Attribute) = H(Class) - H(Class | Attribute)
Gain ratio is defined as:
GainRatio(Class, Attribute) = (H(Class) - H(Class | Attribute)) / H(Attribute).
...where H is the entropy, defined as - sum(i=1 to k) pi log2 pi
Platform: |
Size: 3072 |
Author:agkj |
Hits:
Description: In this webinar you will learn how you can use Parallel Computing Toolbox™ to speed up MATLAB applications by using hardware you already have. You will learn how minimal programming efforts can speed up your applications on widely available desktop systems equipped with multicore processors and GPUs.-In this webinar you will learn how you can use Parallel Computing Toolbox™ to speed up MATLAB applications by using hardware you already have. You will learn how minimal programming efforts can speed up your applications on widely available desktop systems equipped with multicore processors and GPUs. Platform: |
Size: 27264000 |
Author:mingi, kim |
Hits:
Description: 本电子书介绍了Matlab中的并行工具箱使用方法，适合初学Matlab并行编程的人员学习-This book describes the parallel Matlab toolbox to use for beginners to learn Matlab parallel programming Platform: |
Size: 622592 |
Author:卢宁 |
Hits:
Description: 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。-Engineers and scientists are facing with less time to build models of complex systems needs, they use distributed and parallel computing to solve the problem of high-performance computing. The distributed environment consists of multi-processor and multi-core computer to achieve. Mathworks Distributed Computing Toolbox, developed in multi-processor computing environment MATLAB and imulink solve computing, data intensive problems. You can use the toolkit to solve multiple processors by assembling several separate work units or containing a single large-scale computing problems. These processors can reside on a multi-processor computer, or, when the toolbox with MATLAB Distributed Computing Engine, it resides on a computer cluster. Platform: |
Size: 772096 |
Author:张先生 |
Hits:
Description: 并行计算工具箱软件提供循环执行性能可以允许一些matlab工程师可以同时执行单个循环迭代。例如，一个100次迭代的循环需要一群20人的matlab工程师来完成，这是有关并行计算的叙述-Parallel computing toolbox software provides a cycle properties can be allowed to perform some matlab engineers can simultaneously execute a single cycle iteration. For example, a 100 iterations of the circulation needs a group of 20 people of matlab engineer to do this, and this is the account of parallel computing Platform: |
Size: 2553856 |
Author:追风少年 |
Hits:
Description: matlab并行处理的说明书，全英文的，里面讲的非常全面-matlab parallel processing manual, full English, which was about a very comprehensive Platform: |
Size: 2018304 |
Author:love |
Hits:
Description: FMINCON_PARALLEL is a MATLAB program which demonstrates how the FMINCON function, which is used to find the constrained minimizer of a function, can use MATLAB s Parallel Computing Toolbox to perform some calculations in parallel. Platform: |
Size: 4096 |
Author:all |
Hits:
Description: matlab并行计算的工具箱，并行计算的一个简单例子，还有一个distcomp工具箱配置及编程指南-matlab parallel computing toolbox, a simple example of parallel computing, there is a distcomp toolbox configuration and programming guide Platform: |
Size: 2693120 |
Author:许方家 |
Hits:
Description: 图像处理 并行处理 matlab Since images can be represented by 2D or 3D matrices and the MATLAB processing engine
relies on matrix representation of all entities, MATLAB is particularly suitable for implemen‐
tation and testing of image processing workflows. The Image Processing Toolbox
™
(IPT)
includes all the necessary tools for general-purpose image processing incorporating more than
300 functions which have been optimised to offer good accuracy and high speed of processing.
Moreover, the built-in Parallel Computing Toolbox
™
(PCT) has recently been expanded and
now supports graphics processing unit (GPU) acceleration for some functions of the IPT.
However, for many image processing applications we still need to write our own code, either
in MATLAB or, in the case of GPU-accelerated applications requiring specific control over
GPU resources, in CUDA (Nvidia Corporation, Santa Clara, CA, USA).-the first part is dedicated to some essential tools of the IPT that can be used in
image analysis and assessment as well as in extraction of useful information for further
processing and assessment. These include retrieving information about digital images, image
adjustment and processing as well as feature extraction and video handling. The second part
is dedicated to GPU acceleration of image processing techniques either by using the built-in
PCT functions or through writing our own functions. Each section is accompanied by MAT‐
LAB example code. Platform: |
Size: 629760 |
Author:阿新 |
Hits:
Description: 这个例子展示了Matlab中的blockchain实现。可以运行多个节点来分发块链，可以挖掘块或用无效哈希块来进行测试(This example shows a blockchain implementation in MATLAB. Several nodes can be run to distribute the blockchain and blocks can be mined or blocks with invalid hashes can be added for test. Although the current implementation requires parallel computing toolbox it can easily be changed to run without it.
Note that the app is made for 2018a pre-release.) Platform: |
Size: 200704 |
Author:阴月有卿 |
Hits:
Description: 本书共有43章，内容涵盖常见的神经网络（BP、RBF、SOM、Hopfield、Elman、LVQ、Kohonen、GRNN、NARX等）以及相关智能算法（SVM、决策树、随机森林、极限学习机等）。同时，部分章节也涉及了常见的优化算法（遗传算法、蚁群算法等）与神经网络的结合问题。此外，本书还介绍了MATLAB R2012b中神经网络工具箱的新增功能与特性，如神经网络并行计算、定制神经网络、神经网络高效编程等(This book consists of 43 chapters, covering common neural networks (BP, RBF, SOM, Hopfield, Elman, LVQ, Kohonen, GRNN, NARX, etc.) and related intelligent algorithms (SVM, decision tree, random forest, extreme learning machine, etc.). At the same time, some chapters also involve the combination of common optimization algorithms (genetic algorithm, ant colony algorithm, etc.) and neural networks. In addition, the book also introduces the new functions and characteristics of the neural network toolbox in MATLAB R2012b, such as parallel computing of neural networks, customized neural networks, efficient programming of neural networks, etc) Platform: |
Size: 54128640 |
Author:caravan |
Hits:
Search - parallel computing toolbox