cuda debugger

Some time ago, the OPENCV3.4,TX2 update source failed to install the TX2, OPENCV internal many functions have implemented GPU acceleration, but we manually write the function, want to through the GPU acceleration will need to manually call Cuda for acceleration. The following describes Cuda's environment configuration and compilation, respectively, from the Windows platform and the Linux platform.1 Windows VS2013 +

Cuda Memory Model: GPU chip: Register, shared memory; Onboard memory: local memory, constant memory, texture memory, texture memory, global memory; Host memory: host memory, pinned memory. Register: extremely low access latency; Basic Unit: register file (32bit/each) Computing power 1.0/1.1 hardware: 8192/Sm; Computing power 1.2/1.3 hardware: 16384/Sm; The register occupied by each thread is limited. Do not assign too many private variables to it dur

In other words, I have really paid a lot for configuring the Cuda environment: My hardware configuration: Lenovo v460 laptop (the video card is geforce 310 m) Required software: All the software versions I use work with cuda4.0 Cudatoolkit cudasdk nsight vs2008 1. Software Download Download the above software on the official website: The names of the downloaded software are listed below, which are provided for reference to prevent download errors: 1

Here's a small piece to bring you a Python program using the method of writing Cuda. Small series feel very good, now share to everyone, also for everyone to make a reference. Let's take a look at it with a little knitting. There are two ways to use Python to write Cuda programs: * Numba* Pycuda Numbapro is deprecated now, features are split and integrated into accelerate and Numba, respectively. Example N

In recent days, we have been exposed to deep learning, in view of the requirements of deep learning for speed and GPU computing, and the increasing complexity of the derivation calculation after the network layer deepens, the intention is to build a Theano platform (discard matlab), only for your own entertainment (fancy irrigation) ... Main steps: CPU Calculation of Theano Build Cuda VS2010 GPU Computing of Theano 1.Theano CPU

Cuda basics (1): operational procedures and kernel concepts, cudakernel Cuda is a parallel computing framework released by Nvidia. GPU is no longer limited to processing graphics and images. It contains a large number of computing units to execute tasks that are large in computing but can be processed in parallel. Cuda operations include five steps: 1. Memory al

Ubuntu 14.04 LTS is out, loads of new features has been added. Here is some procedures I followed to the install CUDA 6.0 on my DELL Inspiron.First of all, Ubuntu need to be installed successfully, and Thenecessary Libs is also need to installed:sudo apt-get install build-essential gcc-4.4 g++-4.4 libxi-dev libxmu-dev Freeglut3-devThings need to the before start the installationprocess:1. Latest NVIDIA Graphic Driver (nvidia-linux-x86_64-331.49.run)2.

First of all, my computer is Win7 64-bit operating system, installed is 32 for the Vs2008, to compile the OpenCv2.4.3 and TBB4.2; The process of compiling is a lot of people have said the blog of one of the most detailed, also most comprehensive: http://blog.csdn.net/shuxiao9058/article/details/7529684 The following content I just paste this article, easy to see ( where the green part is different from the original text, but also we need to pay attention to): Earlier, we talked about how to u

Recommended New Installation Tutorials http://blog.csdn.net/chenhaifeng2016/article/details/78874883 The install Depth Learning framework requires the use of CUDA/CUDNN (GPU) to speed up computing, while installing CUDA/CUDNN requires Nvidia's graphics driver to be installed first. I ran into a driver conflict during the installation, looping through the two issues so that I finally had to reinstall the o

The problem description determines whether the uninstall method installed by the. Run format needs to be uninstalled Problem Description The improper Cuda and driver Uninstall method instructions installed with the. Run file (if the. deb file is installed, you should refer to Cuda installation official tutorial). determine if uninstallation is required Because the Cu