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PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:2.0
BEGIN:VEVENT
DTSTART:20151117T231500Z
DTEND:20151118T010000Z
LOCATION:Level 4 - Lobby
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:ABSTRACT: Plasma turbulence is of great importance in fusion science. However, turbulence simulations are costly so that more computing power is needed for simulating the coming fusion device ITER. This motivates us to develop advanced algorithms and optimizations of fusion codes on Tera-flops many-core architectures like Xeon Phi, Nvidia Tesla and Fujitsu FX100. We evaluate the kernel performance extracted from the hot spots of fusion codes, GYSELA and GT5D, with different numerical algorithms. =0A=0AFor the former kernel, which is based on a semi-Lagrangian scheme with high arithmetic intensity, high-performance is obtained on accelerators (Xeon Phi and Tesla) by applying SIMD optimization. On the other hand, in the latter kernel, which is based on a finite difference scheme, a large shared cache plays a critical role in improving arithmetic intensity, and thus, multi-core CPUs (FX100) with a large shared cache give higher performance.
SUMMARY:Optimization of Stencil-Based Fusion Kernels on Tera-Flops Many-Core Architectures
PRIORITY:3
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