mirror of https://github.com/BOINC/boinc.git
57 lines
3.3 KiB
Plaintext
57 lines
3.3 KiB
Plaintext
Windows projects.
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To build for Mac:
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make -f Makefile_mac
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To build for Linux (assuming you have installed the appropriate GPU computing SDK):
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For ATI/AMD:
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make -f Makefile_AMD
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For NVIDIA:
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make -f Makefile_NVIDIA
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For intel Ivy Bridge: modify one of the above make files for the appropriate paths to the OpenCL headers and libraries.
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Adjust the -I and -L arguments for Linux if the OpenCL headers and libraries are in non-standard locations.
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To run:
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This same sample is designed to run with AMD, NVIDIA and Intel Ivy Bridge GPUs. It is supplied with 3 minimal init_data.xml files, one for each of these 3 vendors (GPU "types".) Copy the appropriate init_data.xml file into the directory containing the openclapp executable. Then run from the Terminal:
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$ cd to/the/directory/containing/executable/and/init_data.xml/file
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$ ./openclapp [options]
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command line options
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-run_slow: sleep 1 second after each character
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-cpu_time N: use about N CPU seconds after copying files
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-early_exit: exit(10) after 30 iterations
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-early_crash: crash after 30 iterations
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-early_sleep: go into infinite sleep after 30 iterations
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==============================================================
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Important notes about the sample code:
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Since a computer can have multiple GPUs, the application must use the GPU assigned by the BOINC client. To do this, it must call the following API:
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int boinc_get_opencl_ids(
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int argc, char** argv, int type,
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cl_device_id* device, cl_platform_id* platform
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);
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The arguments are as follows:
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argc, argv: the argv and argc received by the application's main() from the BOINC client.
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type: may be PROC_TYPE_NVIDIA_GPU, PROC_TYPE_AMD_GPU or PROC_TYPE_INTEL_GPU.
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device: a pointer to the variable to receive the cl_device_id of the desired GPU.
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platform: a pointer to the variable to receive the cl_platform_id of the desired GPU.
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Currently, BOINC expects projects to provide separate production applications for each GPU vendor (GPU type), with a separate "plan class" for each. BOINC currently supports GPUs from the three major vendors: AMD (ATI). NVIDIA or Intel (Ivy Bridge or later). BOINC refers to the vendors as gpu "types."
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Because older clients do not write the <gpu_type> field into the init_data.xml file, your application must pass the appropriate GPU type as the third argument in the boinc_get_opencl_ids() call, or it will not be compatible with older clients.
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However, to avoid redundancy, this one sample is designed to work with OpenCl-capable GPUs from any of the three vendors. To accomplish this, it does not pass a valid type in the boinc_get_opencl_ids() call; it requires init_data.xml file to have a valid <gpu_type> field, and so would not be compatible with older clients. This shortcut is not acceptable for production OpenCL applications; you _must_ pass in a type of either PROC_TYPE_NVIDIA_GPU, PROC_TYPE_AMD_GPU or PROC_TYPE_INTEL_GPU.
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==============================================================
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What is the difference between a GPU's gpu_device_num and its gpu_opencl_dev_index?
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In most cases, they are identical. But on Macs which have CUDA installed, Mac OpenCL does not always recognize all NVIDIA GPUs recognized by CUDA. In that case, the gpu_device_num is the device's position among all the CUDA-capable GPUs, and the gpu_opencl_dev_index is the device's position among all the OpenCL-capable GPUs.
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