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Cycles: multi GPU rendering support.

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The rendering device is now set in User Preferences > System, where you can
choose between OpenCL/CUDA and devices. Per scene you can then still choose
to use CPU or GPU rendering.

Load balancing still needs to be improved, now it just splits the entire
render in two, that will be done in a separate commit.
This commit is contained in:
Brecht Van Lommel
2012-01-09 16:58:01 +00:00
parent 47d9c6689b
commit d7932ceea8
30 changed files with 360 additions and 147 deletions
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19
intern/cycles/device/device_cuda.cpp
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@@ -341,9 +341,11 @@ public:
cuda_pop_context();
}
void mem_copy_from(device_memory& mem, size_t offset, size_t size)
void mem_copy_from(device_memory& mem, int y, int w, int h, int elem)
{
/* todo: offset is ignored */
size_t offset = elem*y*w;
size_t size = elem*w*h;
cuda_push_context();
cuda_assert(cuMemcpyDtoH((uchar*)mem.data_pointer + offset,
(CUdeviceptr)((uchar*)mem.device_pointer + offset), size))
@@ -863,6 +865,8 @@ void device_cuda_info(vector<DeviceInfo>& devices)
if(cuDeviceGetCount(&count) != CUDA_SUCCESS)
return;
vector<DeviceInfo> display_devices;
for(int num = 0; num < count; num++) {
char name[256];
int attr;
@@ -878,11 +882,16 @@ void device_cuda_info(vector<DeviceInfo>& devices)
info.num = num;
/* if device has a kernel timeout, assume it is used for display */
if(cuDeviceGetAttribute(&attr, CU_DEVICE_ATTRIBUTE_KERNEL_EXEC_TIMEOUT, num) == CUDA_SUCCESS && attr == 1)
if(cuDeviceGetAttribute(&attr, CU_DEVICE_ATTRIBUTE_KERNEL_EXEC_TIMEOUT, num) == CUDA_SUCCESS && attr == 1) {
info.display_device = true;
devices.push_back(info);
display_devices.push_back(info);
}
else
devices.push_back(info);
}
if(!display_devices.empty())
devices.insert(devices.end(), display_devices.begin(), display_devices.end());
}
CCL_NAMESPACE_END