TY - GEN
T1 - Multi-core acceleration of chemical kinetics for simulation and prediction
AU - Linford, John C.
AU - Michalakes, John
AU - Vachharajani, Manish
AU - Sandu, Adrian
PY - 2009
Y1 - 2009
N2 - This work implements a computationally expensive chemical kinetics kernel from a large-scale community atmospheric model on three multi-core platforms: NVIDIA GPUs using CUDA, the Cell Broadband Engine, and Intel Quad-Core Xeon CPUs. A comparative performance analysis for each platform in double and single precision on coarse and fine grids is presented. Platform-specific design and optimization is discussed in a mechanism-agnostic way, permitting the optimization of many chemical mechanisms. The implementation of a three-stage Rosenbrock solver for SIMD architectures is discussed. When used as a template mechanism in the the Kinetic PreProcessor, the multi-core implementation enables the automatic optimization and porting of many chemical mechanisms on a variety of multi-core platforms. Speedups of 5.5x in single precision and 2.7x in double precision are observed when compared to eight Xeon cores. Compared to the serial implementation, the maximum observed speedup is 41.1x in single precision.
AB - This work implements a computationally expensive chemical kinetics kernel from a large-scale community atmospheric model on three multi-core platforms: NVIDIA GPUs using CUDA, the Cell Broadband Engine, and Intel Quad-Core Xeon CPUs. A comparative performance analysis for each platform in double and single precision on coarse and fine grids is presented. Platform-specific design and optimization is discussed in a mechanism-agnostic way, permitting the optimization of many chemical mechanisms. The implementation of a three-stage Rosenbrock solver for SIMD architectures is discussed. When used as a template mechanism in the the Kinetic PreProcessor, the multi-core implementation enables the automatic optimization and porting of many chemical mechanisms on a variety of multi-core platforms. Speedups of 5.5x in single precision and 2.7x in double precision are observed when compared to eight Xeon cores. Compared to the serial implementation, the maximum observed speedup is 41.1x in single precision.
KW - Atmospheric modeling
KW - Cell broadband engine
KW - Chemical kinetics
KW - Kinetic pre-processor
KW - Multi-core
KW - NVIDIA CUDA
KW - Open-MP
UR - https://www.scopus.com/pages/publications/74049097177
U2 - 10.1145/1654059.1654067
DO - 10.1145/1654059.1654067
M3 - Conference contribution
AN - SCOPUS:74049097177
SN - 9781605587448
T3 - Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis, SC '09
BT - Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis, SC '09
T2 - Conference on High Performance Computing Networking, Storage and Analysis, SC '09
Y2 - 14 November 2009 through 20 November 2009
ER -