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Yes, I generally tend to agree and much of what I've seen in the literature seems to point to larger batches being better. There are other practical benefits of using a larger batch, including less time on synchronization tasks between batches (for example, if you're using MPI using larger batches as opposed to more batches will help reduce communication). However, it is possible to go "too far". You'll want to ensure that you have enough batches to ensure that you get a reliable estimate of the variance.Best regards,Paul
On Tue, Jul 14, 2020 at 8:54 AM Jiankai YU <rockf...@gmail.com> wrote:
Hi Yue,--I am not the expert on sampling variation estimation or fission source convergence.But I prefer the latter one, as more particles per batch is beneficial to reduce the shannon entropy and inter-batch correlation, so that finally accelerates the fission source convergence.Best,Jiankai
On Tuesday, July 14, 2020 at 8:00:20 AM UTC-4, Yue JIN wrote:Hi all,To run a simulation, which setting below is recommended?1000 batches * 1000 particlesor 100 batches * 10000 particles?Does the choice depend on the tally that I want to obtain?Thanks in advance,Yue.
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