@article{ellis_evans_hamilton_kelley_pandya_2019, title={Optimization of processor allocation for domain decomposed Monte Carlo calculations}, volume={87}, ISSN={0167-8191}, url={http://dx.doi.org/10.1016/j.parco.2019.06.001}, DOI={10.1016/j.parco.2019.06.001}, abstractNote={Load imbalance plagues domain decomposed Monte Carlo calculations when sources are not uniform. Parallel efficiency for domain decomposed Monte Carlo transport calculations improves through a nonuniform allocation of processors over subdomains. We optimize the allocation with runtime diagnostics collected during a calibration step, then complete the full calculation. The diagnostic-based approach is compared to implicit filtering, an optimization algorithm for bound constrained noisy optimization problems. We consider both forward and hybrid radiation transport calculations to measure performance.}, journal={Parallel Computing}, publisher={Elsevier BV}, author={Ellis, J. Austin and Evans, Thomas M. and Hamilton, Steven P. and Kelley, C.T. and Pandya, Tara M.}, year={2019}, month={Sep}, pages={77–86} }