(Optimization Interactive Tools for Robust Design)
The ACTIVOPT developments have produced a set of tools, interfaces and algorithms that are accessible within the same interoperable, interactive environment. The algorithms studied as part of the research efforts can also be used as a starting point for industrial implementations. These results are a foundation for completing projects and studying and determining new design methodologies.
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(Energy optimization for datacenters)
The COOL-IT project is working to minimize the total energy required to run a computer infrastructure. It is made up of three main components, whose complementarity and synergies will help to optimize overall energy consumption by computing centers.
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(Open source platform for remote collaborative scientific visualization and work)
Twenty-four months after launching the project and in keeping with the commitments made in the proposal, an industrialized version of the generic platform is now being finalized to ultimately be adapted to the needs of end users, who have been closely involved since the start of the project.
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(Complex Systems Design Lab)
As you will recall, the aim of this project is to implement a comprehensive, collaborative decision-making assistance environment for designing complex systems, particularly in the preliminary project phase. In effect, this is the most strategically effective time to use simulation tools in order to produce the best possible design.
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(High performance environment for optimization and design)
This project, which came to a successful close in 2010, went beyond simply supplying essential technological components for the Open HPC and CSDL projects. It also served as an opportunity to test advanced, state-of-the-art technologies for high performance simulation that will be the go-to computation methods of the future for industrial companies.
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(Optimise HPC Applications on Heterogeneous Architectures)
The objective of the H4H project (Hybrid4HPC) is to supply developers of high performance computing applications with a parallel hybrid programming environment that allows them to optimally combine various parallel programming models, thus making the most efficient use of heterogeneous platforms made up of both computing nodes with standard processors and graphics accelerators, like GPGPUs.
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(Optimizing the die-stamping process and tools)
The OASIS project aims to develop a software tool to automatically optimize all of the parameters in the pressing process in order to considerably reduce the time to design a die-stamping line, and therefore the time to design a part made of high-resistance steel.
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(Open source software for high performance computing & software service platform)
The most noteworthy highlight of this project, which ended in 2010, was the successful collaboration with the CSTB. Construction simulations led to applications for funding being filed for other projects such as MOBIL, which is the natural successor to Open HPC in the field of construction.
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(Optimization of design SIMulation)
The plenary meeting that marked the end of the OPSIM project was held in September. All of the results were implemented during 4 synthesis and innovation studies on industrial projects. The studies were used to quantify the contribution made by the work to reducing design times and improving product compromises (mass / performance / cost).
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(Software platform for uncertainty treatment in simulation)
The OPUS project promotes the emergence of an open source, generic software platform for uncertainty treatment. The platform will mainly cover statistics and probabilities, as well as advanced supervision of deterministic industrial computer codes.
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(Parallel Programming for Multi-core Architectures)
Initiated by several members of the TERATEC association, in cooperation with German partners including Jülich, PARMA is a pioneering ITEA2 project in multi core programming.
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(Parallelization for material simulation)
Between 2007 and 2010, the PARMAT project brought together experts in metallurgy and scientific computing. The general objective of the project was the significantly boost the capacities of codes on different scales: ab-initio computing on the atomic scale and, on the mesoscopic scale, radiation damage simulations using a kinetic Monte Carlo algorithm and a field model.
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