Title :
Mapping to Irregular Torus Topologies and Other Techniques for Petascale Biomolecular Simulation
Author :
Phillips, James C. ; Yanhua Sun ; Jain, Nikhil ; Bohm, Eric J. ; Kale, Laxmikant V.
Author_Institution :
Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
Abstract :
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.
Keywords :
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; Biological system modeling; Computational modeling; Graphics processing units; Network topology; Partitioning algorithms; Resource management; Topology;
Conference_Titel :
High Performance Computing, Networking, Storage and Analysis, SC14: International Conference for
Conference_Location :
New Orleans, LA
Print_ISBN :
978-1-4799-5499-5