Distributed Multiscale Computations using the MAPPER framework

被引：15

作者：

Ben Belgacem, Mohamed ^{[1
]}

Chopard, Bastien ^{[1
]}

Borgdorff, Joris ^{[2
]}

Mamonski, Mariusz ^{[3
]}

Rycerz, Katarzyna ^{[4
,5
]}

Harezlak, Daniel ^{[5
]}

机构：

[1] Univ Geneva, Route Drize 7, CH-1227 Carouge, Switzerland

[2] Univ Amsterdam, Fac Sci, NL-1012 WX Amsterdam, Netherlands

[3] Poznan Supercomp & Network Ctr, Poznan, Poland

[4] AGH Univ Sci & Technol, Inst Comp Sci, Krakow, Poland

[5] AGH Univ Sci & Technol, CYFRONET, Krakow, Poland

来源：

2013 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE | 2013年 / 18卷

关键词：

Multiscale; application; distributed; grid; computation; MAPPER framework; AUTOMATA;

D O I：

10.1016/j.procs.2013.05.276

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

We present a global overview of the methodology developed within the MAPPER European project to design, implement and run a multiscale simulation on a distributed supercomputing infrastructure. Our goal is to highlight the main steps required when developing an application within this framework. More specifically, we illustrate the proposed approach in the case of hydrology applications. A performance model describing the execution time of the application as a function of its spatial resolution and the hardware performance is proposed. It shows that Distributed Multiscal Computation is beneficial for large scale problems.

引用

页码：1106 / 1115

页数：10

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