hi i write orthogonal matching pursuit algorithm to run on the gpu but when i check the kernel creation i always see this and also i have too low gpu activity when my software run
i must submit this code till friday any help will appreciated
ViennaCL: Building kernel assign_cpu
ViennaCL: Starting 1D-kernel 'assign_cpu'...
ViennaCL: Global work size: '512'...
ViennaCL: Local work size: '128'...
ViennaCL: Kernel assign_cpu finished!
Last edit: amirsdream 2013-07-30
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i have AMD BART 6870 gpu and and i have amd 2.8 sdk i add all library neaded.
i use iennacl::ocl::set_context_device_type(0, viennacl::ocl::gpu_tag());
and also this code give me these information,
std::cout << viennacl::ocl::current_device().info() << std::endl;
CL Device Max Compute Units: 12
CL Device Max Work Group Size: 256
CL Device Global Mem Size: 536870912
CL Device Local Mem Size: 32768
also when i want to complie debug show me this
ViennaCL: Querying devices available at current platform.
ViennaCL: Found 1 devices.
but i have 2 device 1 cpu and one gpu
if any one could help me i will buy bear for him i am really in trouble any help will be appreciated
Last edit: amirsdream 2013-07-30
If you would like to refer to this comment somewhere else in this project, copy and paste the following link:
sorry for the huge delay caused by sourceforge cancelling my email notification subscriptions in the forum :-/
The best way to use multiple devices is to set up a separate context for each device, because otherwise there may be a lot of implicit host-device transfer going on in the OpenCL SDK. Currently there is no 'automatic distribution' of data to multiple devices to speed up operations, mostly because this is typically very algorithm-specific. If you still want to have both CPU and GPU in the same context, use
hi i write orthogonal matching pursuit algorithm to run on the gpu but when i check the kernel creation i always see this and also i have too low gpu activity when my software run
i must submit this code till friday any help will appreciated
ViennaCL: Building kernel assign_cpu
ViennaCL: Starting 1D-kernel 'assign_cpu'...
ViennaCL: Global work size: '512'...
ViennaCL: Local work size: '128'...
ViennaCL: Kernel assign_cpu finished!
Last edit: amirsdream 2013-07-30
how many opencl platform in your system?
maybe you use the default platform, but in this platform ,only cpu device exist.
i have AMD BART 6870 gpu and and i have amd 2.8 sdk i add all library neaded.
i use iennacl::ocl::set_context_device_type(0, viennacl::ocl::gpu_tag());
and also this code give me these information,
std::cout << viennacl::ocl::current_device().info() << std::endl;
CL Device Vendor ID: 4098
CL Device Name: Barts
CL Driver Version: 1113.2
CL Device Max Compute Units: 12
CL Device Max Work Group Size: 256
CL Device Global Mem Size: 536870912
CL Device Local Mem Size: 32768
also when i want to complie debug show me this
ViennaCL: Querying devices available at current platform.
ViennaCL: Found 1 devices.
but i have 2 device 1 cpu and one gpu
if any one could help me i will buy bear for him i am really in trouble any help will be appreciated
Last edit: amirsdream 2013-07-30
Hi amirsdream,
sorry for the huge delay caused by sourceforge cancelling my email notification subscriptions in the forum :-/
The best way to use multiple devices is to set up a separate context for each device, because otherwise there may be a lot of implicit host-device transfer going on in the OpenCL SDK. Currently there is no 'automatic distribution' of data to multiple devices to speed up operations, mostly because this is typically very algorithm-specific. If you still want to have both CPU and GPU in the same context, use
viennacl::ocl::set_context_device_type(0, CL_DEVICE_TYPE_CPU | CL_DEVICE_TYPE_GPU);
Best regards,
Karli