Details of Grant 

EPSRC Reference:	GR/M10861/01
Title:	TOWARDS AUTOMATIC PARALLELISATION OF HEAP-BASED APPLICATIONS
Principal Investigator:	Watson, Professor I
Other Investigators:	Kirkham, Dr CC
Researcher Co-Investigators:
Project Partners:
Department:	Computer Science
Organisation:	Victoria University of Manchester, The
Scheme:	Standard Research (Pre-FEC)
Starts:	01 October 1998	Ends:	31 July 2000	Value (£):	97,860
EPSRC Research Topic Classifications:	Parallel Computing
EPSRC Industrial Sector Classifications:	No relevance to Underpinning Sectors
Related Grants:
Panel History:
Summary on Grant Application Form
There are many applications which, although computationally intensive, are rarely parallelised, because they are based on complex data structures which make explicit parallelisation difficult. This project will explore a promising approach to automatic parallelisation of such applications. The key idea is to use an underlying execution model, called SLAM, which combines efficient grain local behaviour with coarse grain global behaviour. The project involves compiling SLAM code from UFO, an object-oriented language designed for parallel execution. The target machine is a virtual shared memory multiprocessor. The implementation will initially be tested on small programs with well understood characteristics, and evaluated on larger applications towards the end of the project.
Key Findings
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Potential use in non-academic contexts
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