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| author | Stan Seibert <stan@mtrr.org> | 2011-11-23 12:53:33 -0500 |
|---|---|---|
| committer | tlatorre <tlatorre@uchicago.edu> | 2021-05-09 08:42:38 -0700 |
| commit | 6ae6a660d0276bf671362e8456edbf8ead6f3e5c (patch) | |
| tree | e288fae55b36eb829b12bf35ccb2cdedc321679b | |
| parent | e1dcaa002f9d420fb61af3b812bb2f8f87eb0525 (diff) | |
| download | chroma-6ae6a660d0276bf671362e8456edbf8ead6f3e5c.tar.gz chroma-6ae6a660d0276bf671362e8456edbf8ead6f3e5c.tar.bz2 chroma-6ae6a660d0276bf671362e8456edbf8ead6f3e5c.zip | |
Use bigger blocks for multi-DAQ calculation
| -rw-r--r-- | chroma/sim.py | 5 |
1 files changed, 3 insertions, 2 deletions
diff --git a/chroma/sim.py b/chroma/sim.py index 47f1820..4af877b 100644 --- a/chroma/sim.py +++ b/chroma/sim.py @@ -127,7 +127,8 @@ class Simulation(object): def eval_pdf(self, event_channels, iterable, min_twidth, trange, min_qwidth, qrange, min_bin_content=100, nreps=1, ndaq=1, time_only=True): """Returns tuple: 1D array of channel hit counts, 1D array of PDF probability densities.""" - ndaq_reps = ndaq // 32 + ndaq_per_rep = 64 + ndaq_reps = ndaq // ndaq_per_rep gpu_daq = gpu.GPUDaq(self.gpu_geometry, ndaq=32) self.gpu_pdf.setup_pdf_eval(event_channels.hit, @@ -164,7 +165,7 @@ class Simulation(object): #print 'weights', weights.min(), weights.max() for j in xrange(ndaq_reps): gpu_channels = gpu_daq.acquire(gpu_photon_slice, self.rng_states, nthreads_per_block=self.nthreads_per_block, max_blocks=self.max_blocks) - self.gpu_pdf.accumulate_pdf_eval(gpu_channels, nthreads_per_block=32) + self.gpu_pdf.accumulate_pdf_eval(gpu_channels, nthreads_per_block=ndaq_per_rep) return self.gpu_pdf.get_pdf_eval() |