summaryrefslogtreecommitdiff
path: root/gputhread.py
diff options
context:
space:
mode:
Diffstat (limited to 'gputhread.py')
-rw-r--r--gputhread.py7
1 files changed, 4 insertions, 3 deletions
diff --git a/gputhread.py b/gputhread.py
index 26520c4..12ae145 100644
--- a/gputhread.py
+++ b/gputhread.py
@@ -10,13 +10,14 @@ class Job(object):
self.origins, self.directions = origins, directions
class GPUThread(threading.Thread):
- def __init__(self, device_id, geometry, jobs, output):
+ def __init__(self, device_id, geometry, jobs, output, nblocks=64):
threading.Thread.__init__(self)
self.device_id = device_id
self.geometry = geometry
self.jobs = jobs
self.output = output
+ self.nblocks = nblocks
self._stop = threading.Event()
def stop(self):
@@ -35,7 +36,7 @@ class GPUThread(threading.Thread):
while not self.stopped():
try:
- job = self.jobs.get(timeout=2)
+ job = self.jobs.get()
except Queue.Empty:
continue
@@ -45,7 +46,7 @@ class GPUThread(threading.Thread):
dest = np.empty(job.origins.size, dtype=np.int32)
dest_gpu = cuda.to_device(dest)
- propagate(np.int32(job.origins.size), origins_gpu, directions_gpu, np.int32(self.geometry.node_map.size-1), np.int32(self.geometry.first_node), dest_gpu, block=(64,1,1), grid=(job.origins.size//64+1,1), texrefs=texrefs)
+ propagate(np.int32(job.origins.size), origins_gpu, directions_gpu, np.int32(self.geometry.node_map.size-1), np.int32(self.geometry.first_node), dest_gpu, block=(self.nblocks,1,1), grid=(job.origins.size//self.nblocks+1,1), texrefs=texrefs)
cuda.Context.synchronize()
cuda.memcpy_dtoh(dest, dest_gpu)