Objective
The goal of the project is to develop a portable and efficient tool for the post-processing and real-time visualisation of very large datasets including those too large to output to a network or to store in a raw state in data repositories.
Previously it has not been possible to visualise datasets with more than 256{3} entities within an acceptable response time. Using data compression, decompression and reduction techniques, The project will make it possible to process and visualise very large datasets within a framework open to existing and emerging standards such as OpenGL, PVM and MPI. The target dataset size to be processed is about 1000{3} entities taking into account hardware capabilities, memory, I/O bandwidth, CPU and graphics speeds. The project will address currently available multiple-processor architectures including MPP systems, workstation clusters, vector processors, super-servers and high-end workstations, with optimised implementations using standard high performance tools such as MPI, PVM and OpenGL.
Using the results of the project, engineers will evaluate their work, exploiting efficiently the results of simulations in a number of areas such as computational fluid dynamics, structural analysis, reservoir simulation, molecular simulation and large-scale discrete and continuous data analysis. The project will address the advanced research, industrial simulation, and educational markets.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences data science
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering computer hardware computer processors
- natural sciences physical sciences classical mechanics fluid mechanics fluid dynamics computational fluid dynamics
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
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.
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.
Coordinator
78885 St Quentin En Yvelines
France
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.