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Three-dimensional spatial analysis "turn" based on GPU acceleration

Three-dimensional spatial analysis based on GPU accelerationTags: supermap geographic information System GisitArticle: SyedWith the rapid development and popularization of three-dimensional GIS, three-dimensional spatial analysis technology has become the hotspot of GIS technology in the application of its practicability. In the face of the increasingly large-scale data processing situation, in order to meet the practical needs of GIS industry for thr

Theano (Deep learning Tool) uses GPU for accelerated configuration and use

Recently used Theano wrote the MLP and CNN program, because the training sample large, CPU speed so slow, and then found a computer with Naivid graphics card configuration using the GPU, encountered a lot of problems, recorded as follows:Platform Description:System: WindowsXPpython:2.7, it is recommended to use Python (x, y) directly, including the Theano required NumPy library, save your own configurationtheano:0.6cuda:3.01 DownloadsDownload Install

Typical six GPU Parallel Optimization Strategies

Preface How to optimize existing programs in parallel is the most important practical issue in GPU parallel programming technology. This article provides several optimization ideas to point out the path for parallel program optimization. Preparation before optimization First, we need to clarify the goal of Optimization-is it necessary to speed up the program twice? Or 10 times? 100 times? Maybe you will not think about it. Of course, the higher the im

How to Use GPU hardware acceleration for Android

1.Glossary GPU: Graphic Processing Unit (graphics processor) OpenGL: Open Graphic Library defines the specification of a cross-programming language and cross-platform programming interface. Different vendors have different implementation methods. It is mainly used for 3D image (two-dimensional) painting. Surfaceflinger:Dynamic library in Android that is responsible for surface overlay and hybrid operations Skia:2d graphics library in Android Libagl:A

Chrome enables GPU hardware acceleration

The following is a chrome user's usage tips, hoping to help readers. Here we will introduce the methods for enabling hardware acceleration and pre-rendering: Go to about: flags in the chrome address bar and pull down the page to find GPU accelerated compositing and GPU accelerated canvas 2D. enable these two items. Chrome 11 does not have the GPU accelerated c

Beware of GPU memory bandwidth !!

Beware of GPU memory bandwidth For personal use only, do not reprint, do not use for any commercial purposes. Some time ago, I wrote a series of post-process effect, including the motion blur, refraction, and scattering of screen spance. Most shader is very simple. It is nothing more than rendering a full screen quad to the screen. Generally, there are no more than 10 lines of PS Code, without any branch or loop commands. It can be run only after sm1.

How to realize Android mobile "flying in the sky"? Need a "ladder" like the GPU Turbo

Entertainment, mobile phone-hosted graphics operations are growing. Especially for the glory of the mobile phone brand for young people, users of large online games, AR/VR and other functions of the smoothness, clarity requirements are rising, but also hope that mobile phone prices as close as possible to the people. The scary technique is to honor the secret law of balance between the two needs.It's a scary technology. The "scientific name", called the GPU

Remote connection and running Opengl/cuda and other GPU program examples tutorial

Sometimes it is necessary to do coding work through Remote Desktop Connection, such as the general web, such as the need for the GPU and other support coding work directly with Windows Remote Desktop Connection coding and then debug, and some need to rely on graphics support work such as rendering, When GPU operations such as CUDA, Remote Desktop Connection debug will fail. Because when using Remote Desktop

Implementation of 2-D FFT algorithm--base 2 fast two-dimensional Fourier transform based on GPU

implementation of 2-D FFT algorithm--base 2 fast two-dimensional Fourier transform based on GPU The first one-dimensional FFT of the GPU implementation (FFT algorithm implementation-based on the GPU base 2 fast Fourier transform), and then I need to do a second-dimensional FFT, probably the following ideas. The first thing to look at is definitely the formula:

Caffe GPU version configuration under Windows

Because of the project needs, so in their own notebook configuration on the Windows GPU version of the Caffe;Hardware: win10 ; gtx1070 (Computational ability 6.1);Installation software: cudnn-8.0-windows10-x64-v5.1 ; cuda_8.0.61_win10 ; nugetpackages.zip ; CAF Fe-master;Can be downloaded on their own website (I also provide Baidu cloud: Link: https://pan.baidu.com/s/1miDu1qo password: w7ja)Reference link: https://www.cnblogs.com/king-lps/p/6553378.ht

GPU deep mining (III): OpenGL frame buffer object 201 (zz)

color passed from the vertex coloring, but the brightness of the color is changed to half of the original. From the result, the effect is the same as that of the first program.Last thought This article uses two examples to quickly introduce two different FBO extensions. In the first example, you can use the same FBO for rendering and output to multiple textures, so that we do not need to switch between multiple fbrs frequently, the technology demonstrated in this example is very useful, because

Cuda Programming Interface (II)-18 weapons-GPU revolution

Cuda Programming Interface (ii) ------ 18 weapons ------ GPU revolution 4. Program Running Control: operations such as stream, event, context, module, and execution control are classified into operation management. Here, the score is clearly at the runtime level and driver level. Stream: If you are familiar with the graphics card in the Age of AGP, you will know that when data is exchanged between the device and the host, there is a part of the tra

9. Cuda shared memory usage-GPU revolution

9. Cuda shared memory use ------ GPU revolutionPreface: I will graduate next year and plan for my future life in the second half of the year. In the past six months, it may be a decision and a decision. Maybe I have a strong sense of crisis and have always felt that I have not done well enough. I still need to accumulate and learn. Maybe it's awesome to know that you can go to Hong Kong from the Hill Valley. Step by step, you are satisfied, but you ha

GPU programming in OpenGL

GPU programming in OpenGL (1 )-- This section describes how to use the arb_vertex_program extension to program the GPU. To use the vp1.0 assembly language, opengl1.4 or a later version is required. Of course, arb_vertex_program extension must be supported.I am so excited that I have studied it for N days. I hope this article will help beginners.Opengl1.4 supports vertex Program (called vertex in dx) in the

Common mathematical functions in GPU programming

In GPU programming, functions are generally divided into the following types: Mathematical functions, geometric functions, texture mapping functions, partial derivative functions, debugging functions, and so on. Good use of the GPU's own function can improve the speed and efficiency of parallel programming to some extent.About mathematical math functions (mathematical Functions)Mathematical functions are used to perform commonly used calculations in m

Caffe installing CentOS without GPU

Pre-recordBecause it is in a long-time machine installed Caffe, the process is more complex, on the web said that the clean machine is relatively simple. If you can have a clean machine, you do not have to go through so many pits, I hope everyone good luck! Introduction here will not say, directly into the topic:Caffe Home http://caffe.berkeleyvision.org/GitHub Home Https://github.com/BVLC/caffeMachine configuration:[Email protected] build]# lsb_release-alsb Version: : Base-4.0-amd64:base-4.0

Caffe no GPU environment to build

) LIBRARIES + = Opencv_imgcodecs endif[Email protected]:~/caffe# make all[Email protected]:~/caffe# make allcxx Src/caffe/common.cppin file included from./include/caffe/common.hpp:19:0, From src/caffe/common.cpp:7:./include/caffe/util/device_alternate.hpp:34:23:fatal error:cublas_v2.h:no such file or Directory #include [Email protected]:~/caffe# VI makefile.config# cpu-only switch (uncomment to build without GPU s

GPU Memory (global memory) issues when using data alignment

data, if the address is not aligned to 128Byte, the GT200 will generate two merged visits. Based on the size of each region, it is divided into two combined visits, 32Byte and 96Byte.When using the global memory, there are two main issues to note:1. Data alignment issues. One-dimensional data uses cudamalloc () to open up the GPU global memory space, and multidimensional data suggests using cudamallocpitch () to establish memory space to ensure segme

This document describes how to install theano and configure the GPU in Win10.

This article introduces how to install theano and configure GPU in Win10 environment step 1. software and environment (1) installation date; (2) raw materials VS2013, cuda-8.0 (it is best to download cuda7.5, the current theano-0.8.2 for cuda-8 support is not very good), Anaconda3-4.2.0 (64-bit ); (3) the environment is win10. II. installation steps (1) install VS2013. There is nothing to say. after downloading the 64-bit version, you just need to ta

Display GPU system information with xNa

In the development of graphicsProgramIn order to ensure good compatibility in various hardware environments, we often need to make some adjustments based on the specific hardware, including the most common task of allowing users to modify the resolution. first, you must know the features supported by the hardware. in the original MDX example, we re-wrote it with xNa today, which is very simple, with 100 rowsCodeLeft and right :) Two classes are used here: graphicsadapter and graphicsdevi

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