Enabling Very-Large Scale Earthquake Simulations on Parallel Machines

2007 ◽  
pp. 46-53 ◽  
Author(s):  
Yifeng Cui ◽  
Reagan Moore ◽  
Kim Olsen ◽  
Amit Chourasia ◽  
Philip Maechling ◽  
...  
Keyword(s):  
Large Scale ◽  
Parallel Machines ◽  
Earthquake Simulations

Parallel Earthquake Simulations on Large-Scale Multicore Supercomputers

2011 ◽  
pp. 539-562 ◽  
Author(s):  
Xingfu Wu ◽  
Benchun Duan ◽  
Valerie Taylor
Keyword(s):  
Large Scale ◽  
Earthquake Simulations

Periodic hierarchical load balancing for large supercomputers

2011 ◽  
Vol 25 (4) ◽  
pp. 371-385 ◽  
Author(s):  
Gengbin Zheng ◽  
Abhinav Bhatelé ◽  
Esteban Meneses ◽  
Laxmikant V. Kalé
Keyword(s):  
Load Balancing ◽  
Large Scale ◽  
Parallel Machines ◽  
National Laboratory ◽  
Argonne National Laboratory ◽  
Parallel Applications ◽  
Scientific Application ◽  
Computing Center ◽  
Blue Gene ◽  
Advanced Computing

Large parallel machines with hundreds of thousands of processors are becoming more prevalent. Ensuring good load balance is critical for scaling certain classes of parallel applications on even thousands of processors. Centralized load balancing algorithms suffer from scalability problems, especially on machines with a relatively small amount of memory. Fully distributed load balancing algorithms, on the other hand, tend to take longer to arrive at good solutions. In this paper, we present an automatic dynamic hierarchical load balancing method that overcomes the scalability challenges of centralized schemes and longer running times of traditional distributed schemes. Our solution overcomes these issues by creating multiple levels of load balancing domains which form a tree. This hierarchical method is demonstrated within a measurement-based load balancing framework in Charm++. We discuss techniques to deal with scalability challenges of load balancing at very large scale. We present performance data of the hierarchical load balancing method on up to 16,384 cores of Ranger (at the Texas Advanced Computing Center) and 65,536 cores of Intrepid (the Blue Gene/P at Argonne National Laboratory) for a synthetic benchmark. We also demonstrate the successful deployment of the method in a scientific application, NAMD, with results on Intrepid.

Parallelization of the Lattice Boltzmann Method in Simulating Buoyancy-Driven Convection Heat Transfer

2004 ◽  
Author(s):  
Anoosheh Niavarani-Kheirier ◽  
Masoud Darbandi ◽  
Gerry E. Schneider
Keyword(s):  
Lattice Boltzmann Method ◽  
Lattice Boltzmann ◽  
Message Passing ◽  
Large Scale ◽  
Message Passing Interface ◽  
Parallel Machines ◽  
Convection Heat Transfer ◽  
Wide Range ◽  
Buoyancy Driven Convection ◽  
Boltzmann Method

The main objective of the current work is to utilize Lattice Boltzmann Method (LBM) for simulating buoyancy-driven flow considering the hybrid thermal lattice Boltzmann equation (HTLBE). After deriving the required formulations, they are validated against a wide range of Rayleigh numbers in buoyancy-driven square cavity problem. The performance of the method is investigated on parallel machines using Message Passing Interface (MPI) library and implementing domain decomposition technique to solve problems with large order of computations. The achieved results show that the code is highly efficient to solve large scale problems with excellent speedup.

scholarly journals Evaluation of architectural support for global address-based communication in large-scale parallel machines

1996 ◽  
Vol 30 (5) ◽  
pp. 37-48
Author(s):  
Arvind Krishnamurthy ◽  
Klaus E. Schauser ◽  
Chris J. Scheiman ◽  
Randolph Y. Wang ◽  
David E. Culler ◽  
...  
Keyword(s):  
Large Scale ◽  
Parallel Machines ◽  
Architectural Support

scholarly journals Managing Large Scale Data for Earthquake Simulations

2007 ◽  
Vol 5 (3) ◽  
pp. 295-302 ◽  
Author(s):  
Marcio Faerman ◽  
Reagan Moore ◽  
Yifeng Cui ◽  
Yuanfang Hu ◽  
Jing Zhu ◽  
...  
Keyword(s):  
Large Scale ◽  
Large Scale Data ◽  
Earthquake Simulations ◽  
Scale Data

Performance of a Very Large-Scale Neighborhood for Minimizing Makespan on Parallel Machines

2006 ◽  
Vol 25 ◽  
pp. 29-33 ◽  
Author(s):  
Tobias Brueggemann ◽  
Johann L. Hurink ◽  
Tjark Vredeveld ◽  
Gerhard J. Woeginger
Keyword(s):  
Large Scale ◽  
Parallel Machines

Visualizing Very Large-Scale Earthquake Simulations

2003 ◽  
Author(s):  
Kwan-Liu Ma ◽  
Aleksander Stompel ◽  
Jacobo Bielak ◽  
Omar Ghattas ◽  
Eui Joong Kim
Keyword(s):  
Large Scale ◽  
Earthquake Simulations
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