cuda tools

Writing is not necessarily right. Wrong, please. Preface This article is made of c++11 thread.Compiling is probably g++ Sort.cpp-o3-pthread-std=c++14-o Sort Actually, I haven't learned c++14. Recently began to learn Cuda, feel thread specific how to use and hardware is directly related to different architectures AH different precision AH the way to use threads should be different. This blog is an experiment, using CPU to achieve parity sorting for fu

the GPU, parallel computing, all of a sudden, we have a lot closer to the parallel computation. Now in school to learn the computer is from the serial algorithm began, formed a lot of fixed serial thinking. When the problem is divided in parallel, there is a serial of ideas, it is not good: Text: We have talked about some concepts of threads before, but these concepts are soft links. We often hear so-and-so units say how good their hardware and software configuration is. The software is good,

The problem occurs when you re-make the Caffe:sudo make runtest after reinstalling the video driver: Check Failed:error = = cudasuccess (30vs.0) unkown error ... 1. Uninstall the original Cuda sudo/usr/local/cuda-8.0/bin/uninstall-cuda-8.0.pl 2. Re-install Cuda 3. Problems occurred: /USR/BIN/LD:-lglut collect2 not foun

CUDA, cudagpuDynamic Parallelism So far, all the kernel is called on the host, and the GPU works completely under the control of the CPU. CUDA Dynamic Parallelism allows the GPU kernel to create a call on the device. Dynamic Parallelism makes recursion easier to implement and understand, because the startup configuration can be determined by the thread on the device at runtime, which also reduces data trans

Today, using the thread in Cuda block to modify the hexahedral of two for loops has been wrong.// For (int i= 0;i// { int j= threadidx.x; int i= threadidx.y; // For (int j = 0; j {Is that the incorrect sequence of I and J affects the coordinate position when calculating vertex coordinates: Boxverticescuda[gridindexnumstop]. Pos,-boxlength/2+widthblock*j, Boxtopy, (Boxlength/2-lengthblock*i));The Thread.x Thread.y

Create a Cuda project on vs2008, create the test. Cu file, copy the following code, compile and execute the code, and clearly see the difference between GPU running matrix multiplication and CPU efficiency. The following result is displayed on my PC. The GPU efficiency of matrix multiplication is improved by about an order of magnitude (relative to the CPU). The development environment is vs2008 + cuda5.x Development Kit + gt520m graphics card. Progr

Vs2010 error: the imported project XXX is not found. Make sure that the path in the E: \ igsnrr \ Dev \ phdthesiscode_cuda \ gtcg. vcxproj: error: the imported project "C: \ Program Files (x86) \ msbuild \ Microsoft. CPP \ v4.0 \ buildcustomizations \ Cuda 5.5.props ". Make sure that the path in the Solution: Find the vcxproj file of the project and find all "Cuda 5.5" content, as shown below:Modify the ver

Oracle VM VirtualBox Downloadubuntu14.04Install the VirtualBox first and then mount the ubuntu14.04 on top. Note To install the enhancements (after starting the virtual machine, select the "Devices" menu, select the "Insert Guest additions CD Images" option.) If you do not see devices, press the right crtl+c), otherwise the screen is not displayed completely.Caffe installation (temporarily not well, encountered problems: After the installation of Cuda

Blacklist nouveau Blacklist rivafb Blacklist nvidiafb Blacklist rivatv After completing the preceding steps, download the cuda software (using the latest version 6.5) The https://developer.nvidia.com/cuda-downloads downloads from the appropriate System Selection After the download, you can run the installation. Chmod + x cuda_6.5.14_linux_64.run ./Cuda_6.5.14_linux_64.run The process went smoothly and ther

Looking at Cuda information for some time, there are also a lot of information on the Cuda environment configuration online, such: visual Studio 2008 + visual assist X's cuda2.3 compiling environment sets up yongge's Cuda vs2005 wizard and so on, mainly for the configuration of vs integrated development environment, but there are few command line methods. I think

MemoryThe performance of kernel can not be explained simply from the execution of Warp. For example, the previous post involved that setting the block dimension to half of the warp size would cause the load efficiency to be lowered, which could not be explained by warp scheduling or parallelism. The root cause is that the way to get global memory is poor.It is well known that the operation of memory occupies a very important position in the language that emphasizes efficiency. Low-latency and Hi

CUDA 8.0 in the function of the call is easy to move people. The following is the VC + + from the online learning of the. cpp file calls the Cuda. cu file in the function method, and the general VC + + function call method basically no difference.The Cuda version used is Cuda 8.0, which is installed by default.1.vs2013

Problem Description: Error while loading shared Libraries:libcudart.so.8.0:cannot open Shared object file:no such file or directory Workaround: First verify that the path in/etc/profile contains the installation path of the cuda8.0 and the corresponding library file Export path= $PATH:/usr/local/cuda-8.0/binExport Ld_library_path= $LD _library_path:/usr/local/cuda-8.0/lib64Export Library_path= $LIBRARY _p