10 Topics
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There are a number of very old threads on CUDA so I'm starting a new one rather than resurrecting an old one. Does anyone here have any experience setting up and developing in CUDA on a Windows platform? I know that there is a system that can be set up … | |
I've been editing on a (windows based) desktop and now want and need to transition to notebook computers. I've been assured that notebook computers are now showing specs that can rival any desktop based system (if you have the $$$). Specially HP's Z-Book series which is built with video and … | |
Hi everyone, I am writing some PDE code, and I am just starting to think about parallelizing it. The code is extremely parallelizable by both CUDA (at the lowest level) and regular threading at the higher level. Specifically, I am coding a matrix multiply, and the matrix is banded, so … | |
HI I am trying to make a dll file that performs its tasks using CUDA library. Here is a simple version of my code: CUDADll.cu ` #include <iostream> #include "cuda.h" #include "cuda_runtime.h" #include "device_launch_parameters.h" __global__ void test(int a, int b, int* c) { *c = a+b; } extern "C" __declspec(dllexport) … | |
[ATTACH=RIGHT]17139[/ATTACH]NVIDIA's CUDA parallel computer architecture is picking up steam and quickly becoming one of the de-facto solution for producing high-end video content. When time is money, companies such as Industrial Light & Magic, and Adobe, cannot always cram every feature or pixel into the finished product. Most consumers might not … | |
Hi, I am implementing an applicaiton which uses CPU but having a problem about allocating in GPU memory. Above all, my work environment is Windows 7 Visual Studio 2010 NVIDIA Quadro NVS 290 (256MB) When I run a piece of CUDA code: cudaMemGetInfo(&freeMem, &totalMem); I get 256MB of total memory … | |
[B]ATI Takes the Lead[/B] [ATTACH=RIGHT]16273[/ATTACH]After a long stretch of dominance, NVIDIA has fallen behind ATI in discrete GPU shipments. According to Mercury Research, ATI claims 51% of the market, and NVIDIA has slipped to, you guessed it, 49%. NVIDIA was the leader this time last year with 59% market share, … | |
I have heard you can efficiently use your GPU to do fast floating point calculations. This can be done using OpenGL but you may have to use the library in an unorthodox way or graphics card toolkits such as CUDA (by nVidia) which I guess is Graphics card specific. Does … | |
I have heard you can efficiently use your GPU to do fast floating point calculations. This can be done using OpenGL but you may have to use the library in an unorthodox way or graphics card toolkits such as CUDA (by nVidia) which I guess is Graphics card specific. Does … | |
[ATTACH=right]15788[/ATTACH]High-end video accelerator tools now make password recovery twentyfold faster than the current top of the line quad-core CPUs. Unlike current recovery tools, such as those offered by Intel, [URL="http://www.nvidia.com/object/fermi_architecture.html"]these new Fermi-based video boards[/URL] exceed benchmark speeds of even previous NVIDIA Tesla solutions based on the previous-generation chipsets. CPUs will … |
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