Mapping to Irregular Torus Topologies and Other Techniques for Petascale Biomolecular Simulation

被引:21
作者
Phillips, James C. [1 ]
Sun, Yanhua [1 ]
Jain, Nikhil [1 ]
Bohm, Eric J. [1 ]
Kale, Laxmikant V. [1 ]
机构
[1] Univ Illinois, Urbana, IL 61801 USA
来源
SC14: INTERNATIONAL CONFERENCE FOR HIGH PERFORMANCE COMPUTING, NETWORKING, STORAGE AND ANALYSIS | 2014年
基金
美国国家科学基金会; 美国国家卫生研究院;
关键词
SCALABLE MOLECULAR-DYNAMICS;
D O I
10.1109/SC.2014.12
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Currently deployed petascale supercomputers typically use toroidal network topologies in three or more dimensions. While these networks perform well for topology-agnostic codes on a few thousand nodes, leadership machines with 20,000 nodes require topology awareness to avoid network contention for communication-intensive codes. Topology adaptation is complicated by irregular node allocation shapes and holes due to dedicated input/output nodes or hardware failure. In the context of the popular molecular dynamics program NAMD, we present methods for mapping a periodic 3-D grid of fixed-size spatial decomposition domains to 3-D Cray Gemini and 5-D IBM Blue Gene/Q toroidal networks to enable hundred-million atom full machine simulations, and to similarly partition node allocations into compact domains for smaller simulations using multiple-copy algorithms. Additional enabling techniques are discussed and performance is reported for NCSA Blue Waters, ORNL Titan, ANL Mira, TACC Stampede, and NERSC Edison.
引用
收藏
页码:81 / 91
页数:11
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