A Mixed Precision Multicolor Point-Implicit Solver for Unstructured Grids on GPUs

被引：10

作者：

Walden, Aaron ^{[1
]}

Nielsen, Eric ^{[1
]}

Diskin, Boris ^{[2
]}

Zubair, Mohammad ^{[3
]}

机构：

[1] NASA, Langley Res Ctr, Hampton, VA 23665 USA

[2] NIA, Hampton, VA USA

[3] Old Dominion Univ, Norfolk, VA USA

来源：

2019 IEEE/ACM 9TH WORKSHOP ON IRREGULAR APPLICATIONS - ARCHITECTURES AND ALGORITHMS (IA3) | 2019年

关键词：

mixed precision; high performance computing; optimization; GPU;

D O I：

10.1109/IA349570.2019.00010

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents a new mixed-precision implementation of a linear-solver kernel used in practical large-scale CFD simulations to improve GPU performance. The new implementation reduces memory traffic by using the half-precision format for some critical computations while maintaining double-precision solution accuracy. As the linear-solver kernel is memory bound on GPUs for practical CFD applications, a reduction in memory traffic directly translates to improved performance. The performance of the new implementation is assessed for a benchmark steady flow simulation and a large-scale unsteady turbulent flow application. Both studies were conducted using NVIDIA (R) Tesla V100 GPUs on the Summit system at the Oak Ridge Leadership Computing Facility.

引用

页码：23 / 30

页数：8

共 9 条

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