Ligature: Component Architecture for High Performance Applications

Author:

Keahey Katarzyna1,Beckman Peter1,Ahrens James1

Affiliation:

1. Advanced Computing Laboratory, Los Alamos National Laboratory, Los Alamos, New Mexico

Abstract

The increasing feasibility of developing applications spanning nationwide supercomputing resources makes possible the creation of simulations composed of multiple interdisciplinary components and capable of modeling natural and social phenomena of national importance with unprecedented speed and accuracy. However, the potential offered by hardware technology often fails to be fully realized due to the lack of software environments supporting such efforts. Furthermore, the complexity of combining within one application components with different performance characteristics often prevents such applications from achieving required performance levels. The Ligature project at Los Alamos National Laboratory addresses the issue of designing a software infrastructure enabling fast and efficient development of multicomponent applications and that of providing performance guidance to the programmer using this infrastructure. Ligature allows the programmer to define component interfaces specifying how heterogeneous, distributed components can interact within a larger system and provides a reusable infrastructure capable of connecting these components. These interfaces, as well as information about component performance, are accessible through a database. Within this framework, we are trying to understand how information about the performance of individual components and information about performance of the framework can be combined to develop a performance-aware multicomponent application.

Publisher

SAGE Publications

Subject

Hardware and Architecture,Theoretical Computer Science,Software

Reference13 articles.

Cited by 17 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Toward interoperable mesh, geometry and field components for PDE simulation development;Engineering with Computers;2007-11-27

2. LIVE data workspace: A flexible, dynamic and extensible platform for petascale applications;2007 IEEE International Conference on Cluster Computing;2007

3. 14. High-Performance Component Software Systems;Parallel Processing for Scientific Computing;2006-01

4. ScoPred–Scalable User-Directed Performance Prediction Using Complexity Modeling and Historical Data;Job Scheduling Strategies for Parallel Processing;2005

5. Computational Quality of Service for Scientific Components;Component-Based Software Engineering;2004

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