تقرير
Development of MC/DC: a performant, scalable, and portable Python-based Monte Carlo neutron transport code
| العنوان: | Development of MC/DC: a performant, scalable, and portable Python-based Monte Carlo neutron transport code |
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| المؤلفون: | Variansyah, Ilham, Morgan, J. P., Northrop, Jordan, Niemeyer, Kyle E., McClarren, Ryan G. |
| سنة النشر: | 2023 |
| المجموعة: | Physics (Other) |
| مصطلحات موضوعية: | Physics - Computational Physics |
| الوصف: | We discuss the current development of MC/DC (Monte Carlo Dynamic Code). MC/DC is primarily designed to serve as an exploratory Python-based MC transport code. However, it seeks to offer improved performance, massive scalability, and backend portability by leveraging Python code-generation libraries and implementing an innovative abstraction strategy and compilation scheme. Here, we verify MC/DC capabilities and perform an initial performance assessment. We found that MC/DC can run hundreds of times faster than its pure Python mode and about 2.5 times slower, but with comparable parallel scaling, than the high-performance MC code Shift for simple problems. Finally, to further exercise MC/DC's time-dependent MC transport capabilities, we propose a challenge problem based on the C5G7-TD benchmark model. Comment: 11 pages, 9 figures, M&C 2023 ANS conference |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2305.07636 |
| رقم الأكسشن: | edsarx.2305.07636 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |