Lattice Boltzmann method for 3-D flows with curved boundary
Journal of Computational Physics
Evaluation of Cache-based Superscalar and Cacheless Vector Architectures for Scientific Computations
Proceedings of the 2003 ACM/IEEE conference on Supercomputing
Impact of modern memory subsystems on cache optimizations for stencil computations
Proceedings of the 2005 workshop on Memory system performance
Optimization of sparse matrix-vector multiplication on emerging multicore platforms
Proceedings of the 2007 ACM/IEEE conference on Supercomputing
Stencil computation optimization and auto-tuning on state-of-the-art multicore architectures
Proceedings of the 2008 ACM/IEEE conference on Supercomputing
Roofline: an insightful visual performance model for multicore architectures
Communications of the ACM - A Direct Path to Dependable Software
Optimization of a lattice Boltzmann computation on state-of-the-art multicore platforms
Journal of Parallel and Distributed Computing
Efficient Temporal Blocking for Stencil Computations by Multicore-Aware Wavefront Parallelization
COMPSAC '09 Proceedings of the 2009 33rd Annual IEEE International Computer Software and Applications Conference - Volume 01
Minimizing communication in sparse matrix solvers
Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis
Memory-efficient optimization of Gyrokinetic particle-to-grid interpolation for multicore processors
Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis
Auto-tuning performance on multicore computers
Auto-tuning performance on multicore computers
3.5-D Blocking Optimization for Stencil Computations on Modern CPUs and GPUs
Proceedings of the 2010 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis
High throughput software for direct numerical simulations of compressible two-phase flows
SC '12 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
Optimization of geometric multigrid for emerging multi- and manycore processors
SC '12 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
Topology exploration with hierarchical landscapes
Proceedings of the Workshop at SIGGRAPH Asia
Comparison of different propagation steps for lattice Boltzmann methods
Computers & Mathematics with Applications
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We are witnessing a rapid evolution of HPC node architectures and on-chip parallelism as power and cooling constraints limit increases in microprocessor clock speeds. In this work, we demonstrate a hierarchical approach towards effectively extracting performance for a variety of emerging multicore-based supercomputing platforms. Our examined application is a structured grid-based Lattice Boltzmann computation that simulates homogeneous isotropic turbulence in magnetohydrodynamics. First, we examine sophisticated sequential auto-tuning techniques including loop transformations, virtual vectorization, and use of ISA-specific intrinsics. Next, we present a variety of parallel optimization approaches including programming model exploration (flat MPI, MPI/OpenMP, and MPI/Pthreads), as well as data and thread decomposition strategies designed to mitigate communication bottlenecks. Finally, we evaluate the impact of our hierarchical tuning techniques using a variety of problem sizes via large-scale simulations on state-of-the-art Cray XT4, Cray XE6, and IBM BlueGene/P platforms. Results show that our unique tuning approach improves performance and energy requirements by up to 3.4x using 49,152 cores, while providing a portable optimization methodology for a variety of numerical methods on forthcoming HPC systems.