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

SC(2014)

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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.
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关键词
biology computing,digital simulation,mainframes,molecular biophysics,molecular dynamics method,parallel machines,topology,3D Cray Gemini toroidal networks,5D IBM Blue Gene/Q toroidal networks,ANL Mira,NCSA Blue Waters,NERSC Edison,ORNL Titan,TACC Stampede,communication-intensive codes,fixed-size spatial decomposition,full machine simulations,hardware failure,irregular node allocation shapes,irregular torus topology mapping,leadership machines,molecular dynamics program NAMD,multiple-copy algorithms,network contention,partition node allocations,periodic 3D grid,petascale biomolecular simulation,petascale supercomputers,topology adaptation,topology awareness,topology-agnostic codes,toroidal network topologies,
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