HPC Refactoring with Hierarchical Abstractions to Help Software Evolution

Hiroyuki Takizawa (), Ryusuke Egawa (), Daisuke Takahashi () and Reiji Suda ()
Additional contact information
Hiroyuki Takizawa: Tohoku University/JST CREST, Graduate School of Information Sciences
Ryusuke Egawa: Tohoku University/JST CREST, Cyberscience Center
Daisuke Takahashi: University of Tsukuba/JST CREST, Faculty of Engineering, Information and Systems
Reiji Suda: The University of Tokyo/JST CREST, Graduate School of Information Science and Technology

A chapter in Sustained Simulation Performance 2012, 2013, pp 27-33 from Springer

Abstract: Abstract This article briefly introduces the concept of our new research project, JST CREST “An Evolutionary Approach to Construction of a Software Development Environment for Massively-Parallel Computing Systems.” Since high-performance computing system architectures are going to change drastically, existing application programs will need to evolve for adapting to the new-generation systems. Motivated by this, our project will explore an effective methodology to support the programming for software evolution of valuable existing applications, and also develop a programming framework to bridge the gap between system generations and thereby to encourage migration of existing applications to the new systems. The programming framework will provide abstractions of complicated system configurations at multiple levels, and refactoring tools to help evolving applications to use the abstractions.

Keywords: Abstraction Layer; Collective Communication; Software Development Environment; Heterogeneous Computing System; Numerical Library (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-32454-3_3

Ordering information: This item can be ordered from
http://www.springer.com/9783642324543

DOI: 10.1007/978-3-642-32454-3_3

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().