A programming framework for large scale numerical simulations on unstructured mesh

被引：13

作者：

Liu, QingKai ^{[1
]}

Zhao, WeiBo ^{[1
]}

Cheng, Jie ^{[1
]}

Mo, ZeYao ^{[1
]}

Zhang, AiQing ^{[1
]}

Liu, JianJun ^{[1
]}

机构：

[1] Inst Appl Phys & Computat Math, CAEP Software Ctr High Performance Numer Simulat, Beijing, Peoples R China

来源：

2016 IEEE 2ND INTERNATIONAL CONFERENCE ON BIG DATA SECURITY ON CLOUD (BIGDATASECURITY), IEEE INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE AND SMART COMPUTING (HPSC), AND IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT DATA AND SECURITY (IDS) | 2016年

关键词：

numerical simulation; parallel computing; JAUMIN; programming framework; unstructured mesh;

D O I：

10.1109/BigDataSecurity-HPSC-IDS.2016.12

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The performance of parallel computers grows rapidly. However, application software is lagging behind due to two bottlenecks: "performance wall" and "programmability wall". These bottlenecks have prevented a lot of application software from achieving good performance and fast development. Programming framework is considered an effective approach to overcome the above bottlenecks. In this paper, we give a prototype of JAUMIN, which is a programming framework for large scale application software based on unstructured mesh. Some important technologies of JAUMIN will be presented, including distributed data structures, data communication patterns and application programming interfaces. Finally, some applications based on JAUMIN will be demonstrated to show that JAUMIN can accelerate the development of application software greatly and support effective simulation on petascale supercomputer.

引用

页码：310 / 315

页数：6

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