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Content archived on 2022-12-23

Large Parallel Databases

Objective

The objective is to investigate techniques to support user defined and abstract data types in a highly parallel database machine. Work will include:

research into the underlying algorithms which can be used in a parallel database machine
the use of functional data modelling and functional languages as a basis for building a high performance database machine.

This work will be applied to geographic information systems

the use of attribute grammars to specify the algorithms used in such database machines.
techniques to measure the performance of a database machine.

We intend to investigate how a formal description of performance could be constructed, as well as develop specific techniques which could be used to measure the performance of a particular implementation.

The project will enable the transfer of technology between the collaborators, and in particular the exploitation of parallel database software developed in Sheffield by a number of East European organisations. Similarly, techniques developed by East European partners will be exploited by Western European organisations.

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Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

Topic(s)

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Call for proposal

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Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

CSC - Cost-sharing contracts

Coordinator

University of Sheffield
EU contribution
No data
Address
Regent Court 211 Portobello Street
S1 4DP Sheffield
United Kingdom

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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

No data

Participants (9)

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