CUBE – Towards an Optimal Scaling of Cosmological N-body Simulations
Published in IEEE conference, 2020
Recommended citation: Shenggan Cheng, Hao-Ran Yu, Derek Inman, Qiucheng Liao, Qiaoya Wu and James Lin (2020, May). CUBE–Towards an Optimal Scaling of Cosmological N-body Simulations. In 2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID) (pp. 685-690). IEEE. https://ieeexplore.ieee.org/abstract/document/9139651
We designed a two-level PM algorithm CUBE towards optimal performance in memory consumption reduction. By using the fixed-point compression technique, CUBE reduces the memory consumption per N-body particle to only 6 bytes, an order of magnitude lower than the traditional PM-based algorithms.
Recommended citation: Shenggan Cheng, Hao-Ran Yu, Derek Inman, Qiucheng Liao, Qiaoya Wu and James Lin (2020, May). CUBE–Towards an Optimal Scaling of Cosmological N-body Simulations. In 2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID) (pp. 685-690). IEEE.