cuda debugger

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The cuda--translation of the Deep learning CUDA installation Guide for Linux (1) __linux

CUDA packages required for native development and should cover most SCENAR Ios.The recommended installation package is the CUDA package. This package will install all the other Cuda packages required for native development and should cover most cases.The Cuda package installs all of the available packages for native d

CUDA Learning notes One: CUDA+OPENCV image transpose, using shared memory for CUDA program optimization

original articles, reproduced please indicate the source ... I. Background of the problem Recently to do a learning sharing report on Cuda, I would like to make an example of using Cuda for image processing in the report, and use shared memory to avoid the global memory not merging, improve image processing performance. But for the CUDA program how to read the

W3wp.exe has a debugger attached, but the debugger is not configured to debug this unhandled exception, to debug this exception, you must detach the current debugger.

Before debugging the project by using the VS2010 attach process, today the boot found debugging this machine project error such as:Looking around the web without fruit, after repeated experiments to find a solution, my project is published to IIS1. First delete the items above IIS2. In the VS right-click Project--Properties->web-> Click Create virtual directory (i.e. recreate one)Ok problem solved, this problem toss me 2 hours, tried a lot of methods such as re-register the framework, restart II

Cuda: supercomputing for the masses (Super computing for large amounts of data)-Section 1

; GPU Cuda FFT and Blas Libraries Performance Analyzer Gdb debugger for GPU in alpha version (as of January 1, March 2008) Cuda runtime Driver (available in standard nvidia gpu drivers) Cuda Programming Manual The nvccc compiler completes most of the work of converting C code into executable programs th

Cuda Programming (ii) CUDA initialization and kernel functions

Cuda Programming (ii) CUDA initialization and kernel functionsCuda InitializationAs has been said in the last time, Cuda installation success, a new project is very simple, directly in the new project when the Nvidia Cuda project can be selected, we first create a new Mycudatest project, Delete the sample kernel.cu, an

Ubuntu 16.04 Uninstall Cuda 6.5 and install Cuda 8.0

One, Introduction Since the system was upgraded from Ubuntu 14.04 to 16.04, the original Cuda 6.5 could not continue to be used, so Cuda 8.0 was reinstalled. Two, uninstall Cuda 6.5 and drive The following actions are operated at the command-line interface, such as pressing CTRL+ALT+F1 into the command lineFirst stop LIGHTDM:sudo service LIGHTDM stop Uninstall n

Ubuntu14.04 configure cuda-convnet and cuda-convnet

Ubuntu14.04 configure cuda-convnet and cuda-convnet Reprinted Please note: http://blog.csdn.net/stdcoutzyx/article/details/39722999 In the previous Link, I configured cuda and had a powerful GPU. Naturally, the resources could not be completely idle, So I configured a convolutional neural network to run the program. As for the principle of the convolutional neura

ubuntu14.04 Installation CUDA 7.5/cuda 8.0

Translated from: http://blog.csdn.net/masa_fish/article/details/51882183The installation of CUDA7.5 and CUDA8.0 is a hair-like process. So if you install CUDA8.0, just replace all of the 7.5 below with 8.0.Toss a lot of days, before and after re-installed probably 六、七次 Ubuntu, finally on the Cuda installed, was the pit several times, also took a lot of detours.The first post, also please more advice.EnvironmentNotebook: ThinkPad T450 x86_64Video card:

windows-based CUDA Installation (Setup CUDA on Windows)

Operating System (OS): Windows 7 set into the development environment (IDE): Microsoft Visual Studio 2008 SP1 CUDA version (CUDA version): 3.0 Hardware that supports CUDA when CUDA programming is not necessary, and Cuda provides a way to simulate GPU operations with CPUs, so

Install cuda, pyrit-cuda, And Optimus on Kali Linux

I won't talk about the installation of Cuda and Optimus on the theme. I found that some foreigners did not succeed or there were few articles about Kali. After more than one day of repeated installation and testing, this article is the final one, the English version is also released. Install Cuda and NVIDIA driversThis step is relatively simple. Before installation, we recommend that you edit the/etc/APT/so

Cuda Study Notes: a preliminary understanding of Cuda

With the development of graphics cards, GPUs become more and more powerful, and GPU optimizes display images. Computing has surpassed general CPU. Such a powerful chip would be too wasteful if it was just a video card, so NVIDIA launched Cuda to allow the video card to be used for purposes other than Image Rendering and computing (for example, general parallel computing mentioned here ). Cuda is the compute

Install cuda, pyrit-cuda, and optimus on KaliLinux

I won't talk about the installation of cuda and optimus on the theme. I found that some foreigners did not succeed or there were few articles about Kali. after more than one day of repeated installation and testing, this article is the final one, the English version is also released. Installing cuda and nvidia drivers is relatively simple. before installation, we recommend that you... I won't talk about the

CUDA and cuda Programming

CUDA and cuda ProgrammingIntroduction to CUDA Libraries It is the location of the CUDA library. This article briefly introduces cuSPARSE, cuBLAS, cuFFT and cuRAND will introduce OpenACC later. The cuSPARSE linear algebra library is mainly used for sparse matrices. CuBLAS is a C

[CUDA] some CUDA configurations

We have installed winxp64 + nvidia driver19 *. * + VS2008 (sp1), and we feel very stuck, so we have been using cuda2.2. I installed win7 recently and found that the driver compatibility for Versions later than 190 is very good. I installed cuda2.3. I wanted to try VS2010 beta2, However, I learned from Microsoft's staff that MSBuild still has some bugs, so I cannot use cuda normally and cannot patch me for the moment. Switch back to VS2008. When using

Introduction to Cuda C Programming-Programming Interface (3.2) Cuda C Runtime

When Cuda C is run in the cudart library, the application can be linked to the static library cudart. lib or libcudart. A. The dynamic library cudart. dll or libcudart. So. The Cuda dynamic link library (cudart. dll or libcudart. So) must be included in the installation package of the application. All running functions of Cuda are prefixed with

Cuda driver version is insufficient for CUDA runtime version

Run Devicequery error after installing CUDA8.0. CUDA Device Query (Runtime API) version (Cudart static linking)Cudagetdevicecount returned 35Cuda driver version is insufficient for CUDA runtime versionResult = FAILThere are a lot of ways to find out, Dpkg-l | grep cuda Discovery There is libcuda1-304, and the libcuda1-375 version is 375.66, above

CUDA and cuda Programming

CUDA and cuda ProgrammingCUDA SHARED MEMORY Shared memory has some introductions in previous blog posts. This section focuses on its content. In the global Memory section, Data Alignment and continuity are important topics. When L1 is used, alignment can be ignored, but non-sequential Memory acquisition can still reduce performance. Dependent on the nature of algorithms, in some cases, non-continuous access

CUDA 5, CUDA

CUDA 5, CUDAGPU Architecture SM (Streaming Multiprocessors) is a very important part of the GPU architecture. The concurrency of GPU hardware is determined by SM. Taking the Fermi architecture as an example, it includes the following main components: CUDA cores Shared Memory/L1Cache Register File Load/Store Units Special Function Units Warp Scheduler Each SM in the GPU is designed to support hundred

Use Python to write the CUDA program, and use python to write the cuda Program

Use Python to write the CUDA program, and use python to write the cuda Program There are two ways to write a CUDA program using Python: * Numba* PyCUDA Numbapro is no longer recommended. It is split and integrated into accelerate and Numba. Example Numba Numba optimizes Python code through the JIT mechanism. Numba can optimize the hardware environment of the Loca

Cuda Advanced Third: Cuda timing mode

write in front The content is divided into two parts, the first part is translation "Professional CUDA C Programming" section 2. The timing YOUR KERNEL in CUDA programming model, and the second part is his own experience. Experience is not enough, you are welcome to add greatly. Cuda, the pursuit of speed ratio, want to get accurate time, the timing function is

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