Poor memory management can be considered as the first restrictive barrier to the implementation of the neutron transport equation for large reactors. The current research presents a new MRT with the ability to reduce the required memory and increase cache coherency. Also, given the high impact of the angular quadrature set used in the transport calculation, the effects of the angular set are investigated. As a reliable trial for an angular quadrature set examination, comparisons between the Forward and Adjoint transport calculations are performed.

Three types of angular quadrature sets are adopted for our optimized MOC steady-state calculation. Based on two known constraints for the quadrature set evaluation, the accuracy and computational cost of the presented sets are examined. Satisfying these two conditions, our implemented Legendre-Chebyshev quadrature set with S₂₀ angular order results in 7.0000E-06 and the 9.0000E-06 difference with reference K_eff of G5G7 benchmark in the forward and adjoint calculation respectively. As well, our optimized parallel algorithm for MOC results in 6.18 speedup with 16 threads.

内存管理不善可被视为实施大型反应堆中子输运方程的第一个限制性障碍。当前的研究提出了一种新的MRT，能够减少所需的内存并提高缓存的一致性。同样，考虑到在运输计算中使用的角正交集的高影响，研究了角集的影响。作为对角正交集检查的可靠尝试，可以进行正向和伴随运输计算之间的比较。

优化的MOC稳态计算采用了三种类型的角正交集。基于正交集评估的两个已知约束，检查了所提出集合的准确性和计算成本。满足这两个条件，我们实现的带有S ₂₀角序的Legendre-Chebyshev正交集在正向和伴随计算中分别与G5G7基准的K _eff相差7.0000E-06和9.0000E-06 。同样，我们针对MOC进行的优化并行算法可通过16个线程实现6.18的加速。