fortran gpu

Get ready:System environment: WINDOWS10 + Anaconda3 + pycharm(1) environment configuration:Open Anaconda Prompt, enter the Tsinghua warehouse image, so the update will be faster:Input:Conda config--add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/--set show_channel_ URLs YesAlso in Anaconda Prompt use Anaconda to create a python3.5 environment, the environment name is TensorFlow, enter the following command:Conda create-n TensorFlow python=3.5Run 开始菜单 ->Anaconda3—>Anaconda Na

is started, you can select the opencl computing platform and device. If multiple opencl platforms are installed, you can choose any one. Currently, this program does not support multi-video parallel technology (SLI and crossfire ). NVIDIA Cuda platform interface Example: AMD app platform interface Example: Intel opencl platform interface Example: Enter the equation to make full use of your imagination! Note: When using graphics card computing, it is best no

Original: Benatia, A., Ji, W., Wang, Y, Shi, F. (August). Sparse Matrix Format Selection with Multiclass SVM for SPMV on GPU. In Parallel processing (ICPP), 45th International Conference on (pp. 496-505). Ieee.SPMV (Sparse matrix-vector multiplication) refers to the operation of multiplying a sparse matrix with dense vectors. In the case of sparse matrices, dense matrices are not suitable for matrix multiplication because most of the computation and

, start to think about the relationship between GPU and particles. Conclusion: When the CPU initializes the particle system, there can be surplus data and data can be duplicated, but it must comply with the GPU Data Processing Method: there is no data dependency between each particle; each vertex in the particle has no data dependency. The complete life process of a particle only depends on the initial data

1. The GPU and OCL modules are not enabled for the libraries provided in the Development Kit provided by opencv. Although there are *** GPU. lib/*** GPU. DLL files, they cannot be used. If you call GPU: getcudaenabledevicecount (), return 0. To enable this function, you need to re-compile the library of opencv. 2. Ref

functionChangeshader ():void88 {_shader.data.exposure.value = [0.5-math.random ()];90 91graphics.clear (); Graphics.beginshaderfill (_shader); Graphics.drawrect (0,0,300,300); } } }Pixel Bender Code (OPENGLTEST.PBK):kernel Exposurefilternamespace:"TB"; Vendor:"Common"; Version:1; Description:"Picture Exposure";>{parameterfloatExposureMinValue:float(-0.5); MaxValue:float(0.5); DefaultValue:float(0.0); Description:"Exposure"; >; Input image4 src;

Install theano and configure GPU in Win10, win10theano I. 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 take the next step. Remember to insta

Recently started a GTX 1070 notebook, preface want to Win10 on the GPU run model, so there is the next installation GPU version of the bumpy course of mxnet, after multiple experiments finally fixed python and R installation Mxnet, the main points are recorded as follows:I mainly refer to these 2 blog posts:https://my.oschina.net/qinhui99/blog/845249http://blog.csdn.net/u010414386/article/details/533041771.

Installing Theano Configuring the GPU "Original" Liu_longpoReprint Please specify the source "CSDN" http://blog.csdn.net/llp1992Installing TheanoThis post is an experience and I hope to help those who have struggled with me.Already said, non-root users, so can not use sudo, only this series of trouble.To install Theano, you need some dependencies, and you can refer to the blog for details:Deeplearning (i) Best en

Respect for the wisdom of others, welcome reprint, please indicate the author's heart if Transparent address http://www.cnblogs.com/ubanck/p/4110618.htmlIn the previous blog, roughly explained the principle of 3D rendering, that is, from a simple model to the process of rendering to the screen! It mentions the important coordinate transformation way, said not clear! Today to talk about the implementation of the shader languageHardware, the GPU has a v

Tags: blog from the This COM update inter for pass ALS1. Show current GPU usageNvidia-smi2. Usage of the periodic input GPUUse the watch command to periodically output GPU usage$ Whatis WatchWatch (1)-Execute a program periodically, showing output fullscreen$watchUsage:Watch [Options] CommandOptions:-B,--beep beep if command has a Non-zero exit-C,--color interpret ANSI color sequences-D,--differences[=Highl

Statement This document is only for learning and exchange, please do not use for other commercial purposesAuthor: Chaoyang _tonyE-mail:linzhaolover@163.comCreate date:2018 Year April 8 20:29:38Last change:2018 year April 8 20:29:50Reprint please indicate the source: Http://blog.csdn.net/linzhaolover Summary A recent need to build an environment requires the physical machine's GPU card to be mapped to the KVM for use. That is, passthrough on the Inter

1. Display current GPU usage Nvidia has a Nvidia-smi command-line tool that displays video memory usage: $ nvidia-smi1 1 Output:2. Periodic output GPU usage But sometimes we want to not only know the GPU usage at that fixed moment, we want to keep it going, we want to output periodically, like updating the display every 10s. At this point, you need to use the Wa

Change at a glance: Last month, the 9-year long stay in the beta version of the graphics card first identification tool Gpu-z released the first official version of v1.9.0, during a total of 89 versions of the evolution. Today, the v1.10.0 release adds support for new cards such as AMD RX470460, Nvidia TITAN X, and so on, in the near period. Functional changes: -Increase support for Radeon Rx 470, RX 460 -Increased support for Nvidia GTX TITAN X

It is best to apply thermal grease between the heatsink and the CPU when installing the cooling fan. The role of silicone grease is not only the heat produced by the CPU quickly and evenly passed to the heat sink, in many cases, silicone grease can also increase the heat sink not too flat under the surface of the heat contact with the CPU. and silicone grease has a certain viscosity, in the fixed heat sink metal shrapnel slightly aging loose, you can to a certain extent so that the heatsink wil

. As long as there is this concept, the purpose of my article is achieved. Front of the "Cuda Hardware Implementation Analysis (i)------Camp-----GPU Revolution" has explained the thread in the cuda of the concrete running process. Let's look at some of the provisions in the CUDA hardware implementation. This is more reasonable, army camp, it should be promulgated rules system, only understand the rules of CUDA system, can really put the various thread

Latest version of Cuda development Pack download: Click to open link This article is based on vs2012,pc win7 x64,opencv2.4.9 compiling OPENCV source code Refer to "How to Build OpenCV 2.2 with GPU" on Windows 7, which is a bit cumbersome, you can see the following 1, installation Cuda Toolkit, official instructions: Click to open the link Installation process is like ordinary software, the last hint that some modules are not installed successfully, w

1. Check the local configuration and whether the graphics card type supports nvidia gpu; 2. From http://www.nvidia.cn/Download/index.aspx? Lang = cn download and install the latest driver; 3. download the latest version of Cuda toolkit5.0 from https://developer.nvidia.com/cu?toolkit=local machine, and verify that the installation is correct through the sample program; 4. Add c: \ ProgramFiles \ nvidia gpu c

View graphics card and GPU information in CentOS Lspci | grep-I vga This will display the graphics card information on the machine, such [Root @ localhost conf] # lspci | grep-I vga. 0 VGA compatible controller: nVidia Corporation Device 1081 (rev a1). 0 VGA compatible controller: nVidia Corporation GT215 [GeForce GT 240] (rev a2)08:05. 0 VGA compatible controller: ASPEED Technology, Inc. ASPEED Graphics Family (rev 10) If you want to see the detaile

Linux View video card information: Lspci | Grep-i VGA Using the NVIDIA GPU you can: Lspci | Grep-i nvidia The front serial number "00:0f.0" is the graphics card code (here is the use of the virtual machine); To view the details of a specified video card, use the following directive: Lspci-v-S 00:0f.0 Linux View Nvidia graphics information and usage Nvidia has a command-line tool to view video memory usage: Nvidia-smi Table Header In