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 |
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Description: PSOM是一种工具来管理在一个会议或在并行计算环境，Matlab或倍频，管道。-PSOM is a tool to manage pipelines in Matlab or Octave, both within a single session or within a parallel computing environment. Platform: |
Size: 64512 |
Author:我的名 |
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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 |
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Description: The latest generation of high-end video cards off er considerable
computing power using their 100–200 on-card processors, 0.3–1.0+ GB
of RAM, and fast inter-processor communications. One promising
application of this Graphics Processing Unit (GPU) computing
capability is through Matlab and Matlab mex functions. With a properly developed mex function, the user-friendly Matlab interface can be used to perform behind-the-scenes parallel computations on the GPU. -The latest generation of high-end video cards offer considerable computing power using their 100-200 on-card processors, 0.3-1.0+ GB of RAM, and fast inter-processor communications. One promising application of this Graphics Processing Unit (GPU) computing capability is through Matlab and Matlab mex functions. With a properly developed mex function, the user-friendly Matlab interface can be used to perform behind-the-scenes parallel computations on the GPU. Platform: |
Size: 166912 |
Author:charlesw0100 |
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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 |
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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 |
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Description: 这是实现MATLAB并行配置的技术资料，随着大数据时代的到来，越来越多的数据需要经过处理，并且目前的硬件已经满足不了这么多的数据的处理，因此并行计算成为了首选-This is the realization of technical information MATLAB parallel configuration, with the arrival of the era of big data, more data needs to be processed, and the current hardware has failed to meet so many data processing, parallel computing has become the preferred therefore Platform: |
Size: 585728 |
Author:sysk |
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Description: MATLAB多核并行计算，并显示计算时间，与单核相比速度大大加快-
MATLAB多核并行计算，并显示计算时间，与单核相比速度大大加快
MATLAB multi-core parallel computing, and display the calculation time, compared with the single core speed greatly accelerated Platform: |
Size: 1024 |
Author:root_sun |
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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 |
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