nvidia

Objective is to call a device function available in another file, when i compile the global kernel it shows the following error *External calls are not supported (found non-inlined call to _Z6GoldenSectionCUDA)* . Problematic Code (not the full code but where the problem arises), cat norm.h # ifndef NORM_H_ # define NORM_H_ # include<stdio.h> __device__ double invcdf(double prob, double mean, double stddev); #endif cat norm.cu # include <norm.h> __device__ double invcdf(double prob, double mean, double stddev) { return (mean + stddev*normcdfinv(prob)); } cat test.cu # include <norm.h> #

I'd like to extend my skill set into GPU computing. I am familiar with raytracing and realtime graphics(OpenGL), but the next generation of graphics and high performance computing seems to be in GPU computing or something like it. I currently use an AMD HD 7870 graphics card on my home computer. Could I write CUDA code for this? (my intuition is no, but since Nvidia released the compiler binaries I might be wrong). A second more general question is, Where do I start with GPU computing? I'm certain this is an often asked question, but the best I saw was from 08' and I figure the field has

I have this little nonsense script here which I am executing in MATLAB R2013b: clear all; n = 2000; times = 50; i = 0; tCPU = tic; disp 'CPU::' A = rand(n, n); B = rand(n, n); disp '::Go' for i = 0:times CPU = A * B; end tCPU = toc(tCPU); tGPU = tic; disp 'GPU::' A = gpuArray(A); B = gpuArray(B); disp '::Go' for i = 0:times GPU = A * B ; end tGPU = toc(tGPU); fprintf('On CPU: %.2f sec\nOn GPU: %.2f sec\n', tCPU, tGPU); Unfortunately after execution I receive a message from Windows saying: " Display driver stopped working and has recovered. ". Which I assume means that Windows did not get

I was wondering what was the best way to generate one pseudo random number between 0 and 49k that would be the same for each thread, by using curand or something else. I prefer to generate the random numbers inside the kernel because I will have to generate one at the time but about 10k times. And I could use floats between 0.0 and 1.0, but I've no idea how to make my PRN available for all threads, because most post and example show how to have different PRN for each threads. Thanks Probably you just need to study the curand documentation , especially for the device API . The key to getting

I'm trying to compile a cuda test program on Windows 7 via Command Prompt, I'm this command: nvcc test.cu But all I get is this error: nvcc fatal : Cannot find compiler 'cl.exe' in PATH What may be causing this error? You will need to add the folder containing the "cl.exe" file to your path environment variable. For example: C:\Program Files\Microsoft Visual Studio 10.0\VC\bin Edit : Ok, go to My Computer -> Properties -> Advanced System Settings -> Environment Variables. Here look for "PATH" in the list, and add the path above (or whatever is the location of your cl.exe). Solve this problem