Parallel Preconditioning with Sparse Approximate Inverses
SIAM Journal on Scientific Computing
Terascale spectral element dynamical core for atmospheric general circulation models
Proceedings of the 2001 ACM/IEEE conference on Supercomputing
Proceedings of the 2002 ACM/IEEE conference on Supercomputing
Partitioning with Space-Filling Curves on the Cubed-Sphere
IPDPS '03 Proceedings of the 17th International Symposium on Parallel and Distributed Processing
Parallel netCDF: A High-Performance Scientific I/O Interface
Proceedings of the 2003 ACM/IEEE conference on Supercomputing
Practical performance portability in the Parallel Ocean Program (POP): Research Articles
Concurrency and Computation: Practice & Experience - The High Performance Architectural Challenge: Mass Market versus Proprietary Components?
International Journal of High Performance Computing Applications
International Journal of High Performance Computing Applications
Applying Automated Memory Analysis to Improve Iterative Algorithms
SIAM Journal on Scientific Computing
Early experience with scientific applications on the blue gene/l supercomputer
Euro-Par'05 Proceedings of the 11th international Euro-Par conference on Parallel Processing
Computational performance of ultra-high-resolution capability in the Community Earth System Model
International Journal of High Performance Computing Applications
A scalable barotropic mode solver for the parallel ocean program
Euro-Par'13 Proceedings of the 19th international conference on Parallel Processing
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We examine the ability of the IBM Blue Gene/L™ (BG/L) architecture to provide ultrahigh-resolution climate simulation capability. Our investigations show that it is possible to scale climate models to more than 32,000 processors on a 20-rack BG/L system using a variety of commonly employed techniques. One novel contribution is our load-balancing strategy that is based on newly developed space-filling curve partitioning algorithms. Here, we examine three models: the Parallel Ocean Program (POP), the Community Ice CodE (CICE), and the High-Order Method Modeling Environment (HOMME). The POP and CICE models are components of the next-generation Community Climate System Model (CCSM), which is based at the National Center for Atmospheric Research and is one of the leading coupled climate system models. HOMME is an experimental dynamical "core" (i.e., the CCSM component that calculates atmosphere dynamics) currently being evaluated within the Community Atmospheric Model, the atmospheric component of CCSM. For our scaling studies, we concentrate on 1/10° resolution simulations for CICE and POP, and 1/3° resolution for HOMME. The ability to simulate high resolutions on the massively parallel systems, which will dominate high-performance computing for the foreseeable future, is essential to the advancement of climate science.