Abstract: Monte Carlo method is an important method to study particle transport problems. Designing a customized acceleration architecture for Monte Carlo method has become a research hotspot in particle transport simulation. This paper profiles Quicksilver, a typical proxy application using Monte Carlo method, and makes an architectural exploration to the structural parameters that affect scalability, such as storage hierarchy and cluster size. Finally, a 128-core scalable architecture for Monte Carlo program is proposed, which achieves 90× speedup compared to a single core and a scaling efficiency of 70.1% under 128 cores.

Key words: Monte Carlo method, particle transport, manycore architecture, scalability, cluster