Cycles: revert async CUDA changes, these are giving too much trouble still.

Fixes T40027. This means we get more CPU usage again when using multiple CUDA,
but the impact on performance is too big a problem with the current code.
This commit is contained in:
Brecht Van Lommel 2014-05-19 16:39:25 +02:00
parent 85398dea50
commit 3b53fffb77

@ -41,14 +41,11 @@ public:
CUdevice cuDevice; CUdevice cuDevice;
CUcontext cuContext; CUcontext cuContext;
CUmodule cuModule; CUmodule cuModule;
CUstream cuStream;
CUevent tileDone;
map<device_ptr, bool> tex_interp_map; map<device_ptr, bool> tex_interp_map;
int cuDevId; int cuDevId;
int cuDevArchitecture; int cuDevArchitecture;
bool first_error; bool first_error;
bool use_texture_storage; bool use_texture_storage;
unsigned int target_update_frequency;
struct PixelMem { struct PixelMem {
GLuint cuPBO; GLuint cuPBO;
@ -180,8 +177,6 @@ public:
first_error = true; first_error = true;
background = background_; background = background_;
use_texture_storage = true; use_texture_storage = true;
/* we try an update / sync every 1000 ms */
target_update_frequency = 1000;
cuDevId = info.num; cuDevId = info.num;
cuDevice = 0; cuDevice = 0;
@ -212,9 +207,6 @@ public:
if(cuda_error_(result, "cuCtxCreate")) if(cuda_error_(result, "cuCtxCreate"))
return; return;
cuda_assert(cuStreamCreate(&cuStream, 0));
cuda_assert(cuEventCreate(&tileDone, 0x1));
int major, minor; int major, minor;
cuDeviceComputeCapability(&major, &minor, cuDevId); cuDeviceComputeCapability(&major, &minor, cuDevId);
cuDevArchitecture = major*100 + minor*10; cuDevArchitecture = major*100 + minor*10;
@ -231,8 +223,6 @@ public:
{ {
task_pool.stop(); task_pool.stop();
cuda_assert(cuEventDestroy(tileDone));
cuda_assert(cuStreamDestroy(cuStream));
cuda_assert(cuCtxDestroy(cuContext)); cuda_assert(cuCtxDestroy(cuContext));
} }
@ -665,15 +655,9 @@ public:
cuda_assert(cuFuncSetCacheConfig(cuPathTrace, CU_FUNC_CACHE_PREFER_L1)); cuda_assert(cuFuncSetCacheConfig(cuPathTrace, CU_FUNC_CACHE_PREFER_L1));
cuda_assert(cuFuncSetBlockShape(cuPathTrace, xthreads, ythreads, 1)); cuda_assert(cuFuncSetBlockShape(cuPathTrace, xthreads, ythreads, 1));
cuda_assert(cuLaunchGrid(cuPathTrace, xblocks, yblocks));
if(info.display_device) { cuda_assert(cuCtxSynchronize());
/* don't use async for device used for display, locks up UI too much */
cuda_assert(cuLaunchGrid(cuPathTrace, xblocks, yblocks));
cuda_assert(cuCtxSynchronize());
}
else {
cuda_assert(cuLaunchGridAsync(cuPathTrace, xblocks, yblocks, cuStream));
}
cuda_pop_context(); cuda_pop_context();
} }
@ -1024,10 +1008,6 @@ public:
int start_sample = tile.start_sample; int start_sample = tile.start_sample;
int end_sample = tile.start_sample + tile.num_samples; int end_sample = tile.start_sample + tile.num_samples;
boost::posix_time::ptime start_time(boost::posix_time::microsec_clock::local_time());
boost::posix_time::ptime last_time = start_time;
int sync_sample = 10;
for(int sample = start_sample; sample < end_sample; sample++) { for(int sample = start_sample; sample < end_sample; sample++) {
if (task->get_cancel()) { if (task->get_cancel()) {
if(task->need_finish_queue == false) if(task->need_finish_queue == false)
@ -1037,28 +1017,8 @@ public:
path_trace(tile, sample, branched); path_trace(tile, sample, branched);
tile.sample = sample + 1; tile.sample = sample + 1;
task->update_progress(tile); task->update_progress(tile);
if(!info.display_device && sample == sync_sample) {
cuda_push_context();
cuda_assert(cuEventRecord(tileDone, cuStream));
cuda_assert(cuEventSynchronize(tileDone));
/* Do some time keeping to find out if we need to sync less */
boost::posix_time::ptime current_time(boost::posix_time::microsec_clock::local_time());
boost::posix_time::time_duration sample_duration = current_time - last_time;
long msec = sample_duration.total_milliseconds();
float scaling_factor = (float)target_update_frequency / (float)msec;
/* sync at earliest next sample and probably later */
sync_sample = (sample + 1) + sync_sample * (int)ceil(scaling_factor);
sync_sample = min(end_sample - 1, sync_sample); // make sure we sync the last sample always
last_time = current_time;
cuda_pop_context();
}
} }
task->release_tile(tile); task->release_tile(tile);