SCREMS: Next Generation Parallel Computing Infrastructure for Numerical Relativity

SCEMS：下一代数值相对论并行计算基础设施

• 批准号: 0820923
• 负责人: Yosef Zlochower
• 金额: $ 8.62万
• 依托单位: Rochester Institute of Tech
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-09-01 至 2012-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0820923&HistoricalAwards=false
• 关键词: SCREMS; Next; Generation; Parallel; Computing

The Center for Computational Relativity and Gravitation in the Schoolof Mathematical Sciences at the Rochester Institute of Technology willpurchase a computer cluster which will be dedicated to the support ofresearch in the mathematical sciences. The equipment will be used forseveral research projects including in particular: the development ofnew, highly efficient, extremely high accuracy numerical algorithms tosolve the non-linear equations of general relativisticmagnetohydrodynamics (GRMHD). Magnetohydrodynamics represents adifficult challenge numerically due to the small-scale featuresintroduced by shocks in the fluid material and the magnetic fields.The problem can only be tackled efficiently using higher-order finitedifferencing methods (greater than fourth-order), including thosedesigned to evolve conservative systems, in conjunction withhighly-scalable adaptive-mesh-refinement (AMR) algorithms. The nextgeneration of multi-core processors are expected to have up to 32individual cores in the near future, and computational nodes with morethan 64 cores will soon follow. The challenge, then, is toefficiently parallelize the algorithm on these many-core systems. Wewill do this by optimizing inter and intra-node communication via acombination of openMP and MPI. The proposed cluster, which willinitially have 12 nodes (upgraded to 16 in year 2), each containing 8cores and 16 GB of RAM, interconnected with a high-speed, low-latencyInfiniBand network, will model these future clusters so that we candevelop new algorithms. This cluster will act as the central workhorsefor developing numerical techniques and performing GRMHD simulationsfor the next 3 years.Partial support for this award is from PHY, Gravitational Physics program.

罗彻斯特理工学院数学科学学院的计算相对论和引力中心将购买一台计算机集群，致力于支持数学科学的研究。该设备将用于几个研究项目，特别包括：开发新的、高效、极高精度的数值算法，以求解广义相对论磁流体动力学(GRMHD)的非线性方程。由于流体材料和磁场中的激波所引入的小尺度特征，磁流体动力学在数值上是一个困难的挑战。只有使用高阶有限差分方法(大于四阶)，包括那些设计用于演化保守系统的方法，并结合高度可伸缩的自适应网格加密(AMR)算法，才能有效地解决这个问题。下一代多核处理器预计在不久的将来将拥有多达32个单核，超过核的计算节点很快就会出现。因此，挑战是在这些多核系统上高效地并行化算法。我们将通过组合OpenMP和MPI来优化节点间和节点内的通信，从而实现这一点。拟议的集群最初将有12个节点(在第2年升级到16个)，每个节点包含8个核心和16 GB RAM，与高速、低延迟的InfiniBand网络互连，将对这些未来的集群进行建模，以便我们可以开发新的算法。在接下来的三年里，这个星系团将作为开发数值技术和执行GRMHD模拟的中心工作。这一奖项的部分支持来自PHY，引力物理计划。