Unleashing the performance potential of CPU-GPU platforms for the 3D atmospheric Euler solver

This article demonstrates an approach for combining general tuning techniques with the POWER8 hardware architecture through optimizing three representative stencil benchmarks. Two typical real-world applications, with kernels similar to those of the winning programs of the Gordon Bell Prize 2016 and 2017, are employed to illustrate algorithm modifications and a combination of hardware-oriented tuning strategies with the application algorithms. This work fills the gap between hardware capability and software performance of the POWER8 processor, and provides useful guidance for optimizing stencil-based scientific applications on POWER systems.

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Unleashing the performance potential of CPU-GPU platforms for the 3D atmospheric Euler solver

Cited by 2 publications

References 24 publications

CC-RRTMG_SW++: Further optimizing a shortwave radiative transfer scheme on GPU

CC-RRTMG_SW++: Further optimizing a shortwave radiative transfer scheme on GPU

Performance Tuning and Analysis for Stencil-Based Applications on POWER8 Processor

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