NORMA eResearch @NCI Library

The ParaPhrase Project: Parallel Patterns for Adaptive Heterogeneous Multicore Systems

Hammond, Kevin, Aldinucci, Marco, Brown, Christopher, Cesarini, Francesco, Danelutto, Marco, González-Vélez, Horacio, Kilpatrick, Peter, Keller, Rainer, Rossbory, Michael and Shainer, Gilad (2013) The ParaPhrase Project: Parallel Patterns for Adaptive Heterogeneous Multicore Systems. In: Formal Methods for Components and Objects. Lecture Notes in Computer Science (7542). Springer Berlin Heidelberg, Berlin, pp. 218-236. ISBN 9783642358876

Full text not available from this repository.
Official URL:


This paper describes the ParaPhrase project, a new 3-year targeted research project funded under EU Framework 7 Objective 3.4 (Computer Systems), starting in October 2011. ParaPhrase aims to follow a new approach to introducing parallelism using advanced refactoring techniques coupled with high-level parallel design patterns. The refactoring approach will use these design patterns to restructure programs defined as networks of software components into other forms that are more suited to parallel execution. The programmer will be aided by high-level cost information that will be integrated into the refactoring tools. The implementation of these patterns will then use a well-understood algorithmic skeleton approach to achieve good parallelism.

A key ParaPhrase design goal is that parallel components are intended to match heterogeneous architectures, defined in terms of CPU/GPU combinations, for example. In order to achieve this, the ParaPhrase approach will map components at link time to the available hardware, and will then re-map them during program execution, taking account of multiple applications, changes in hardware resource availability, the desire to reduce communication costs etc. In this way, we aim to develop a new approach to programming that will be able to produce software that can adapt to dynamic changes in the system environment. Moreover, by using a strong component basis for parallelism, we can achieve potentially significant gains in terms of reducing sharing at a high level of abstraction, and so in reducing or even eliminating the costs that are usually associated with cache management, locking, and synchronisation.

Item Type: Book Section
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science
Divisions: School of Computing > Staff Research and Publications
Depositing User: Caoimhe Ní Mhaicín
Date Deposited: 28 Feb 2014 13:10
Last Modified: 11 Jun 2014 16:28

Actions (login required)

View Item View Item