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OpenCL cannot find GPU device: NVIDIA GPU (Quadro K4000) + Visual Studio 2015


OpenCL cannot find GPU device: NVIDIA GPU (Quadro K4000) + Visual Studio 2015

By : Floppe
Date : November 26 2020, 09:01 AM
hop of those help? This is not the way you use the OpenCL API.
You need to obtain a valid cl_platform_id object which it needs to be used to retrieve a cl_device_id. You are always passing NULL, this can't work.
code :
size_t numPlatforms;
err = clGetPlatformIDs(0, NULL, &numPlatforms);
assert(numPlatforms > 0);
cl_platform_id platform_ids[numPlatforms];
err = clGetPlatformIDs(numPlatforms, platform_ids, NULL);
cl_platform_id platform_id;
err = clGetPlatformIDs(1, &platform_id, NULL);
assert(err == CL_SUCCESS);
// Note: this has to be done for each `cl_platform_id`
// until you find the device you were looking for
size_t numDevices;
err = clGetDeviceIDs(platform_id, CL_DEVICE_TYPE_GPU, 0, NULL, &numDevices);
assert(numDevices > 0);
cl_device_id devices[numDevices];
err = clGetDeviceIDs(platform_id, CL_DEVICE_TYPE_GPU, numDevices, devices, NULL);
cl_device_id device;
err = clGetDeviceIDs(platform_id, CL_DEVICE_TYPE_GPU, 1, &device, NULL);
assert(err == CL_SUCCESS);


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OpenCL inside Visual Studio - can we compile one exe that would use all possible CPUs OpenCL can get an all OpenCL suppo

OpenCL inside Visual Studio - can we compile one exe that would use all possible CPUs OpenCL can get an all OpenCL suppo


By : Daniel Lujan Villarr
Date : March 29 2020, 07:55 AM
hope this fix your issue This code should run on any Windows PC with OpenCL capable GPU drivers.
However, to improve portability and possibly performance, you should be more careful about a few things.
Debugging OpenCL with NVIDIA Nsight 2.1 and Visual Studio 2010

Debugging OpenCL with NVIDIA Nsight 2.1 and Visual Studio 2010


By : kgburden
Date : March 29 2020, 07:55 AM
I hope this helps . Parallel Nsight 2.1 supports tracing OpenCL 1.1 using Nsight > New Analysis Seasion.
Parallel Nsight 2.1 CUDA Debugger does not support source level debugging of OpenCL kernels. Source level debugging is only supported for CUDA kernels launched through the CUDA Runtime API and CUDA Driver API.
OpenCL vs CUDA performance on Nvidia's device

OpenCL vs CUDA performance on Nvidia's device


By : Murali S
Date : March 29 2020, 07:55 AM
To fix this issue OpenCL and CUDA are equally fast if they are tweaked correctly for the target architecture. However, tweaking may negatively impact portability.
Links:
Can I use Quadro K4000 and K2000 for GPUDirect v2 Peer-to-peer (P2P) communictation?

Can I use Quadro K4000 and K2000 for GPUDirect v2 Peer-to-peer (P2P) communictation?


By : Hima Jayankar
Date : March 29 2020, 07:55 AM
help you fix your problem I use: , I don't know if it's related with your problem, but note this:
OpenCL code on Nvidia GEFORCE using Visual Studio 2010

OpenCL code on Nvidia GEFORCE using Visual Studio 2010


By : Omeed Baboli
Date : March 29 2020, 07:55 AM
Hope this helps It looks like you have configured Visual Studio to compile .cl files with nvcc. This is what you should do for CUDA files (.cu), but OpenCL kernel source code is compiled at runtime, and should not be compiled by anything at application build time. Just remove this configuration option, and you should be good to go.
One thing you might want to do with .cl files is have them automatically copied to the application binary directory, so that the application can find them easily when it wants to load them. This is just a matter of preference.
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