POSTER:Enabling Extreme-Scale Phase Field Simulation with In-situ Feature Extraction

被引：0

作者：

Feng, Zhichen ^{[1
,2
]}

Li, Jialin ^{[1
,2
]}

Gao, Yaqian ^{[1
,2
]}

Tian, Shaobo ^{[1
,2
]}

Ye, Huang ^{[1
]}

Zhang, Jian ^{[1
]}

机构：

[1] Chinese Acad Sci, Comp Network Informat Ctr, Beijing, Peoples R China

[2] Univ Chinese Acad Sci, Beijing, Peoples R China

来源：

PROCEEDINGS OF THE 29TH ACM SIGPLAN ANNUAL SYMPOSIUM ON PRINCIPLES AND PRACTICE OF PARALLEL PROGRAMMING, PPOPP 2024 | 2024年

关键词：

Extreme-scale simulation; Phase field; In-situ; feature extraction;

D O I：

10.1145/3627535.3638486

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In this paper, we present an integrated framework composed of a highly efficient phase field simulator and an in-situ feature extraction library. This novel framework enables us to conduct extreme-scale micro-structure evolution simulations while the characteristic features of each individual grain are extracted on the fly. After systematic design and optimization on the new generation Sunway supercomputer, the code scales up to 39 million cores and achieves 582 PFlops in double precision and 637 POps in mixed precision.

引用

页码：448 / 450

页数：3

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