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Introduction to CPU, GPU, TPU, DPU, NPU, and BPU

Https://www.sohu.com/a/191538165_777155The 5 trillion computation per second advertised by A12 is described as 5 tops in computer languages.Qilin 970 NPU, according to the information is 1.92 tops.Qilin 980 NPU, increased by 970 of 120%, that is, 1.92topsx2.2 = 4.23 tops.A11 is about 0.6 tops. The official claim that 8 cores, that is, 0.6x8 = 4.8, is about 5 tops. There is no false publicity.No NPU for other SOC is used for neural network computing using other GPUs, so no statistics are collecte

[GPU pro] fast conventional shadow Filtering

GPU pro1 is the first article in the shadow section. Box PCF filter improvement: First, the author puts forward a good improvement point for the Box Filter of PCF. It is to avoid repeated samples by bilinear filter, so that the number of PCF samples can be reduced from 3x2 to 2X2, or if it is originally 2X2, it can achieve the original 3x3 effect. Direct and intuitive: The result can be said to be very direct, that is, when the filter on the le

[GPU pro2] rendering terrain and sea water using surface subdivision technology

The content is as follows. For learners, it is more like introducing tesselation technology through the examples of terrain and water. Hardware Introduction In fact, the author of this article described the dx sdk well or better. Here is a brief introduction: Hull shader: Specifies the Output Control Point and how the tesselator is subdivided. Tesselator This is a fixed stage that generates the factor used for interpolation. Domain shader, interpolation of vertex posiiton and other

10. Cuda cosnstant usage (I) -- GPU revolution

10. Cuda cosnstant usage (I) ------ GPU revolutionPreface: There have been a lot of recent things. I almost couldn't find my way home. I almost forgot the starting point of my departure. I calmed down and stayed up late, so there were more things, you must do everything well. If you do not do well, you will not be able to answer it. I think other people can accept it. My personal abilities are also limited. Sometimes, it is more time to listen to dest

You are not currently using a display connected to nvidia gpu-Solution

You are not currently using a display connected to nvidia gpu-Solution Problem description:My computer is ideapad y550, the system is win8x64, and the video card is geforce GT 240 m exclusive 1G. Currently, Lenovo does not officially provide driver upgrades under win8x64. I use the driver installed by the driver genie. After the installation is complete, the resolution cannot be set. The following prompt appears when you set the Resolution: Solu

Explanation of new features of Adobe Flash Player 10: Support for GPU Acceleration

Recently, Adobe finally released the official Flash Player 10 version, completed the industry's long-awaited upgrade, and integrated with the recent Adobe cs4 package, this may be the most important update in the software history. Adobe claimsFlash Player 10 can bring "disruptive network visual experience"This is not an exaggeration. Developers can now use 3D effects, custom graphics filters and effects, print-level text rendering engines, enhanced drawing and sound API interfaces, and more, t

Opencv GPU Cuda opencl Configuration

First, install opencv correctly and pass the test.I understand that the GPU environment configuration consists of three main steps.1. Generate the associated file, that is, makefile or project file.2. compile and generate library files related to hardware usage, including dynamic and static library files.3. Add the generated library file to the program. The addition process is similar to that of the opencv library.For more information, see:Http://wenk

Is rendering images highly CPU demanding or GPU? What about video processing?

software that supports very good hardware rendering effects, such as Maya (particle rendering ), softimage and so on are used for hardware rendering. GPU is a parallel processor and the display speed is faster than the memory (the size of the display space is much higher than the memory size ). In addition, let's talk about the memory .. In rendering, it can be said that it is enough. It does not mean that rendering with a large memory is faster. Fo

GPU deep mining (2): OpenGL framebuffer object 101 (zz)

will cause problems in your program. Notes in the sample program in this articleAccording to the content discussed in this article, we have written a corresponding program. Its function is to add a deep buffer object and a texture object to FBO. We found that there is a bug in the ATI Video Card, that is, when we add a deep buffer and a texture to the FBO at the same time, there will be a serious conflict. It also tells us that when we write a FBO-related program, we must perform extensive

"Caffe" Ubuntu installation Caffe GPU version

Home, open the Show hidden files option to find the file. Add in the last lineExport path=/home/(your username)/anaconda2/bin: $PATH (depending on your installation path) export pythonpath=/home/(your user name)/caffe/python:$ PYTHONPATH (IBID.) export ld_preload=/usr/lib/x86_64-linux-gnu/libstdc++.so.6BASHRC document changes, you need to source a bit, or log off/restart your computer:4. Modify the Makefile.config document under Caffe#ANACONDA_HOME: = $ (HOME)/anaconda2#python_include: = $ (ana

Unity uses GPU instead of CPU to process and calculate simple tests

this similar toMainThe method of the function; You can write some simple logic to assign values to the above variables: (Here it is worth emphasizing that this variable is input and output, note!) );here, ourComputeshaderthe construction is completed;the followingC#the Writing, let it echo, pass in and output;and then the variables are basically done.:Let's take a look at the code body:to remove a single line of symbols, we explain in one line, don't mess:1, the declaration of a length of 15 st

cudasharp--allows your C # code on the GPU

The CUDASHARP project is designed to allow you to run a C # program on a GPU that supports Cuda. Sample code: usingsystem; usingcudasharp; usingmanagedcuda; namespacecudasharptest {staticclassprogram { staticvoidmain () {varptx= CudaSharp.CudaSharp.Translate } Turn from: http://www.oschina.net/p/cudasharp?utm_source=tuicoolutm_medium=referral

How to view GPU information under Linux __linux

~$ Lspci | Grep-i VGA01:00.0 VGA compatible Controller:nvidia Corporation GF119 [GeForce GT 610] (Rev A1) If you want to see the details of the GPU, use ~$ lspci-v-S 01:00.0, then:01:00.0 VGA compatible Controller:nvidia Corporation GF119 [GeForce GT 610] (Rev A1) (Prog-if [VGA Controller])Subsystem:device 7,377:0000Flags:bus Master, Fast Devsel, latency 0, IRQ 27Memory at fb000000 (32-bit, non-prefetchable) [size=16m]Memory at d0000000 (64-bit, pref

CUDA Threading Execution Model Analysis (ii) the army did not move the fodder first---GPU revolution

Preface: Today may be a relatively bad day, from the first phone in the morning, to the afternoon some of the things, some Xu lost. Sometimes really want to work and life completely separate, but who can really split so open, Mashikamu! A lot of times want to give life some definition, add some comments. But life is inherently a code that doesn't need to be annotated. Explain with 0来? Or is it an explanation? 0, the beginning of Heaven and earth, 1, the source of all things. Who can say clearly,

Cuda Programming Interface (i)------18 weapons------the GPU revolution

can't carry a hoe or a bamboo pole to conquer the conquering. The reason why Qin can unify the Six Nations and unify the weapons provide the same model of weaponry (see Qin's history, you can find all the weapons are the same model of production, crossbow devices can be interchangeable, from the Terracotta Warriors found in the pit, the size of the error is very small, can be interchangeable), It is also a good basis for him to conquer the other six countries. Body: Zi Yue: 工欲善其事, its prerequ

Md5,mysql,sha decryption-password cracking using the GPU

Tags: computer program folder configuration file password hackHow to use:1 Open command-line cmd and then switch to the EGB directory, assuming your folder is in the F-drive, enter: F:2. In the current directory input: egb.exe/info See if your PC supports CUDA3. You can place the files you want to hack into the current directory4. Back to the Command window, enter: egb.exe MD5 settings/md5.ini password.txt5. The above MD5 indicates the use of MD5 decryption, and Settings/md5.ini is a specific c

ubuntu14.04_64 bit installation Tensorflow-gpu

PC configuration: GeForce GTX 1080Installing the GTX1080 DriveGo to the NVIDIA network, download the GTX1080 driver, start the search, and then download the required version. I downloaded the latest 384.130.can also be downloaded here.After the download is complete, save as a backup to refresh the new driver.Add Nvidia Source sudo add-apt-repository Ppa:graphics-drivers/ppa If the information is not considered, press ENTER directly.sudo apt-get update sudo apt-get install nvidia-384 sudo

Huawei P8 GPU driver DoS Vulnerability (with test code)

Huawei P8 GPU driver DoS Vulnerability (with test code) Multiple Huawei P8 mobile phones use arm mali gpu. This chip driver has a Denial-of-Service vulnerability. Attackers with any permission can exploit this vulnerability to crash the mobile phone kernel.Detailed description: Vulnerability Verification Device: Huawei P8 youth edition (using Mali sans MP4 GPU)

Windows 10 installs the configuration Caffe and supports GPU acceleration (change)

continue to open the Windows folder, See inside a CommonSettings.props.example file, copy it out, and change the name to Commonsettings.props.4.2 Open the Caffe.sln under Windows folder with Visual Studio 2013, check the project in the solution, and focus on whether Libcaffe and Test_all have been successfully imported.If these two are not imported successfully because of the lack of Cuda 8.0.props in the installation path of Visual Studio 2013 (or if your version number is incorrectly written

Windows10+anaconda3+tensorflow (GPU)

2017.6.2 installation timeFirst install Anaconda3 or under Anaconda2 win+r cmd controller Conda create-n Anaconda3 python=3.5(The previous step will appear inside the file I cut to another place)Install Anaconda version 3 in Anaconda2/envs the prompt already exists I was deleted again under Envs Direct installation Anaconda3 Note To install 3.5 version do not 3.6 page below there is connected to install Anaconda3 4.2 Then copy and paste the two files you just made.And then call when it's activat

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