Message boards : News : CPU usage in GPU apps
The new CUDA app 1.03 does not use the CPU core anymore except for the computation of the atomic ensemble in the beginning.
<app_version> <app_name>xansons_gpu</app_name> <plan_class>opencl_ati_102_windows</plan_class> <cmdline>--nowait</cmdline> </app_version>
Replace 'opencl_ati_102_windows' with the appropriate plan class: opencl_ati_102_mac, opencl_ati_102_linux, opencl_intel_gpu_102_windows, opencl_intel_gpu_102_linux, opencl_intel_gpu_102_mac or opencl_nvidia_102_linux.
All OpenCL 1.03 versions are marked as beta due to potential memory leak problem.
The 1.03 app uses exactly the same amount of memory as 1.02 does, so there is no memory leak. The memory consumption depends on the WU. Those tasks which have 'solid_material' in their names may consume up to 1.5 GB of memory depending on the initial data. Please take this into consideration when launching multiple WUs in parallel.
I'll try to reduce memory consumption in the next version.
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The new OpenCL app 1.03 has a command line option --nowait which when specified reduces the CPU load to zero but at the same time makes the system almost unusable due to lagging.
I continue to prefer to dedicate a cpu core to my gpu.
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CPU usage in GPU apps