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Inria - Software assets - Biotechnology

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Inria's software assets Biotechnology, AgriFood and Health for France India Techno Summit october 2013

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Inria - Software assets - Biotechnology

  1. 1. Inria, a public research institute established in 1967, produces excellent research in mathematics and computational sciences. The institute covers the entire spectrum of research at the heart of these areas of activity, and works also on issues asked by other sciences and by economic and societal actors. Inria can be considered as a software provider. Indeed, approximately 1000 software are currently developed of which a large part is distributed with an open source license. Inria is convinced that this production deserves to be more widely known among academic and economical actors as it is a source of value creation, which is one of Inria's missions. The India France Technology Summit is an opportunity to raise awareness of this software production. Thus, this catalog offers an extract from software assets, as part of the Summit themes such as health, smart cities, smart grid, critical embedded software, etc. . You can find all these software files, and many others on Icommunity: https://www.icommunity.fr/patrimoine-technologique-inria
  2. 2. Contact: axel.hutt@inria.fr AnaesthesiaSimulator The tool simulates neural activity dependent on the concentration of anaesthetic drugs. Innovative aspects: the implementation of drug effects in spiking neural networks and guarantee user-friendly control of simulation Main fields of application: action of drugs in brain; allows to investigate new drugs by numerical simulation. Language, standard, environment: Python, Key words: General anaesthesia, Spiking neural networks License : CeCILL Academic partners: University of Auckland
  3. 3. Contact: Gabriel.Antoniu@inria.fr http://blobseer.gforge.inria.fr/ Innovative aspects: BlobSeer leverages BlobSeer is a large-scale distributed storage service for advanced management of massive versioning and distributed metadata management to sustain a high throughput data. under heavy data access concurrency. Validated on Nimbus, OpenNebula and Up to 30% improvement for MapReduce Microsoft Azure cloud platforms. applications with respect to Hadoop. Main fields of application: Advanced storage services for data-intensive cloud applications. Language : C++, Python, Ruby License : LGPL Keywords: cloud storage, versioning, distributed metadata, MapReduce Academic partners:
  4. 4. Contact: pierre.martinon@inria.fr URL: www.bocop.org controlled Innovative aspects: highly flexible toolbox, with state-of-the-art algorithms, advanced and user-friendly GUI Features powerful solvers and user-friendly GUI. Fit for both academic and industrial use. Main fields of application: transportation, Toolbox for optimization dynamical systems. of energy, process optimization, and biology Language, environment: C++, Linux / Mac / Windows Keywords: control, optimization, toolbox License: EPL (core) Possible proprietary modules Academic partners :
  5. 5. Contact: ALPINES Laura.Grigori@inria.fr https://who.rocq.inria.fr/Laura.Grigori/ CALU solves linear systems of equations Ax=b Innovative aspects: CALU addresses a major challenge in HPC, using Communication Avoiding LU. the exponentially increasing cost of Static scheduling communication with respect to computation. It attains lower bounds on communication and it employs novel lightweight scheduling Static + 10% dynamic scheduling techniques to be able to adapt to dynamic changes in the system. Progressively different algorithms as QR, 100% dynamic scheduling RRQR, will be integrated in the library. time Main fields of application: can be used to solve very ill-conditioned problems or as a building block of iterative methods. Programming language: C and Pthreads Keywords: linear algebra, communication avoiding License : open source
  6. 6. Contact: sriv-saclay@inria.fr http://coco.gforge.inria.fr/doku.php Choose your Optimizer! COmparing Continuous Optimizers is a platform for benchmarking numerical optimization algorithms in order to determine the best optimizer for a given class of problem. Innovative aspects: Tedious task of running experiments, postprocessing and visualization entirely automatized. Database of different benchmarked algorithms with the platform available. Main fields of application: Any field where one needs to solve numerical optimization problem in black-box scenario, such as biology, physics (for parameter calibration), engineering design (launcher, airplane, car, ...). Language, environment: C, Java, Matlab and Octave, Python Keywords: benchmarking, numerical optimization, black-box optimization. License: BSD Academic partners:
  7. 7. http://wimmics.inria.fr/corese Corese is a Semantic Web Factory implementing W3C RDF, RDFS, SPARQL 1 .1 Query & Update as well as SPARQL rules for RDF Innovative aspects: Corese 3.0 is a lightweight generic modular implementation of RDF(S) and SPARQL 1.1 in main memory Main fields of application: Generic Engine e-learning, biology, geology, engineering design, cartography, technological watch, social networks analysis, etc Language, environment: Java : Linux, MacOS & Windows Keywords: Semantic Web, Social Web, Search Engine, RDF, SPARQL License: Open source (CeCILL-C) Academic partners: I3S, CSTB, INRA, IFP, IGN, … Services offering & developments :
  8. 8. Contacts: julien.bruneau@inria.fr charles.consel@inria.fr http://diabox.inria.fr DiaSuiteBOX proposes an application store that gathers the devices deployed at home. This store is open and available online such as an application store for Smartphone. Innovative aspects: - Creation of innovative applications that enable cross-device interoperability - Customizable and evolutive smart home platform. - Reduced cost of our platform by using and gathering inexpensive devices. Main fields of application: Smart Home, Assisted Living Language, environment: Java, Eclipse Keywords: Smart home, Open application store, Development tool suite, Application certification. License: A previous version of our DiaSuite tool suite is available online: http://diasuite.inria.fr.
  9. 9. Contact : lionel.reveret@inria.fr http://morpheo.inrialpes.fr/people/reveret/ethomice/ Functional description: • 3D biomechanical model of mouse Innovative aspects: measure 3D physiological on mice from video • multiple views video analysis • 3D physiological parameters Main fields of application: neurophysiology, pharmacology, etc Language, environment: C++, Multiplateform Keywords: Biomechanics, Motion Analysis, Ethology, Mouse License: under definition Academic partners Inria, CNRS, Université Descartes, Institut Clinique de la Souris (ICS)
  10. 10. Contact: chantal.le_tonqueze@inria.fr http://gazelle.ihe.net Web application for the management of interoperability testing session. Language, environment: Java, Jboss, Seamframework Keywords: IHE, Dicom, HL7, Test Management, Interoperabilité License: Apache2 Academic partners :
  11. 11. Graphite Contact: catherine.lucquiaud@inria.fr http://alice.loria.fr/software/graphite Innovative aspects: Graphite offers a wide range of functionalities numerical geometry that enables, among other including parameterisation, multi-resolution things, 3D modelling and texture baking. analysis and digital optimisation. Graphite is a dedicated software platform in Graphite was awarded two prizes at the "Trophées du Logiciel Libre 2009", a special prize for the "most innovative project" and third prize in the "scientific software" category. Main fields of application: all graphic applications (CAD, video games, etc) Language/System: C++ language, Available for Linux and Windows. Keywords: CAD, 3D modelling, Numerical Geometry, Visualisation, Texturing, Lighting. License: GNU GPL
  12. 12. Contact: pascal.moussier@inria.fr http://hips.gforge.inria.fr/ Hips is a hybrid “à la carte” software programme for solving sparse linear equation systems with the degree of precision and time/memory commitment required and desired by the user. Innovative aspects: Hips is THE solution for solving systems combining several difficulties: very large n (number of equations in the system >1 billion), 3D mesh and high level of complexity. Hips is hybrid: according to the needs of the problem, Hips mobilises direct or iterative solving methods. Main fields of application: - simulation of physical phenomena (reservoirs, electromagnetics) - magnetohydrodynamics - fluid flows - manipulation of abstract concepts (finance...) Language: Fortran, C Partition of space around an airplane for parallel computing. Solving a system with Hips: Using the iterative method with interfaces Using the direct method inside domains Keywords: HPC, parallel computing, solving sparse linear systems, hybrid direct iterative method. License : LGPL/CECILL C
  13. 13. http://hop.inria.fr/ HOP Programming language which uses the web as an execution platform and targets interactive multimedia applications Innovative aspects: HOP offers, in a single syntax, all of the functionalities necessary for the programming of multimedia applications, from communication protocols (http) to traditional algorithmics as well as the generation of HTML pages. Language, environment: - C (Linux, MacOS, Windows, Android) - Java virtual machine Keywords: Web 2.0, house automation, multimédia, office License : Open source (GPL)
  14. 14. Contact: Brice.Goglin@inria.fr http://www.open-mpi.org/projects/hwloc/ « Portable Hardware Locality » hwloc discovers your computers’ topology and exposes it as an abstracted and portable hierarchical tree. Main fields of application: hwloc’s main goal consists in assisting applications for retrieving easy-to-use information about modern compute server architectures so as to exploit their power in a more convenient and efficient manner. Language: C Keywords: Topology, locality, affinities, HPC, MPI, GPU License: new BSD licence Technological barrier: Users may now visualize the topology within a graphical interface and consult many architectural and computing characteristics. Academic partners: Open MPI consortium, Argonne Nationa Lab., etc.
  15. 15. Java In The Small JITS –Java In The Small– is a software platform which allows Java applications to be migrated automatically to various embedded systems such as smart cards, networked sensors or minimalist games consoles. Contact: sylvain.karpf@inria.fr http://stan-project.gforge.inria.fr Innovative aspects: The JITS tool chain can be used to roll out software on very restricted platforms. It is therefore possible to run Java programs on media for which a conventional virtual machine does not work. JITS also incorporates analysis software including STAN, which, during roll-out, checks that there are no data leakages where the software is installed and thus imposes a high security level. Keywords: Embedded systems, Java, highly restricted environments. License: pperating licences are negotiated on a case by case basis. Academic partners:
  16. 16. Contact: sriv-saclay@inria.fr http://gforge.inria.fr/projects/kadeploy3 Kadeploy 3 is a full rewrite of the Kadeploy 2 tool initially developed at IMAG. In order to achieve a larger scale, the design was completely reviewed and Kadeploy 3 is based on dedicated large-scale tools. Since the deployment process operates at a low level, special care was devoted to the detection of critical incidents in the deployment of large numbers of nodes. Innovative aspects: Kadeploy 3 offers users the flexibility required to personalise deployment and thus meet all their reconfiguration needs. Main fields of application: Grid'5000 platform, academic computing centres and industrial cluster users Language, standard, environment: Ruby, Bash Keywords: environment configuration License: CECILL Licence V2
  17. 17. Contact: chantal.le_tonqueze@inria.fr http://kermeta.org/ Innovative aspects: programming environment based on an object- Kermeta allows to define and enrich new programming languages by improving the way oriented DSL (Domain Specific Language) to specify, simulate and test operational semantics of metamodels. optimized for metamodel engineering. The Kermeta workbench is a powerful meta- . Main fields of application: Agile software developent, model engineering Key words : MOF (Meta Object Facility), OMG (Object Management Group), Metamodelisation Coding and Operating System: Java, Kermeta License: EPL Academic Partners:
  18. 18. Contact: christophe.biernacki@inria.fr http://www.mixmod.org Mixmod is a software package for ModelBased supervised and unsupervised classification on qualitative and quantitative data. Innovative aspects: Mixmod included a library of calculation (mixmodLib) and tools adapted to a wide spectrum of users and needs: a graphical user interface (mixmodGUI), functions for R environments (Rmixmod) and Matlab (mixmodForMatlab).. Language: C++, R, Matlab et Scilab Environment: Windows & Linux Keywords: classification , mixed data, data mining, data modeling. License: GNU GPL Academic partners:
  19. 19. Contact: sara.hachem@inria.fr MobIoT Middleware for the Large-scale Internet of Mobile Things that handles the large number of active mobile devices by preventing redundant ones from registering their services Innovative aspects: Support the development of IoT applications based on knowledge about the real world. Handle a large number (billions) of mobile devices based on probabilistic models 1 2 Lookup 3 Registry Registration Access 2 Main fields of application: participartory mobile sensing , IoT applications Language, environment: Java, Android Keywords: mobile Internet of Things 1 License: LGPL, Dual License 3 Service Consumer Service Providers Academic partners
  20. 20. Contact: rev@inrialpes.fr http://graal.ens-lyon.fr/MUMPS Multifrontal Massively Parallel Solver solves sparse linear systems of the form A x = b. Innovative aspects: MUMPS is a direct solver, used worldwide in many fields related to digital simulation, in academic as well as industrial codes. Its main characteristics are its numerical stability, large number of functionalities and high performance. Language, standard, environment: Fortran and C languages, available for Unix, Windows or Mac OS, parallel calculators. Keywords: sparse matrices, direct solvers, highperformance calculation, finite element modelling Licence: Open source Spinning wheel (courtesy of SAMTECH) Academic partners:
  21. 21. http://www.mycorporisfabrica.org Contact : olivier.palombi@inria.fr Functional description: Knowledge-based 3D anatomical modeling using MyCF The MyCF software eases the creation of 3D anatomical models for visualization and mechanical simulation. As input, the user provides a list of anatomical entities or functions to simulate, using keywords or navigating in reference 3D model. As output, she gets a 3D model ready to visualize, or to simulate. Innovative aspects: Made available to any computational system validated and formal anatomy knowledge Main fields of application: Virtually all fields where human anatomical knowledge is required. Language, environment: RDF, Web Service, Python, QT Keywords: anatomy, ontology, 3D, modeling, simulation, patientspecific License: Academic partners:
  22. 22. Contact: regis.duvigneau@inria.fr http://num3sis.inria.fr - Visual programming (dataflow) - Coupling via plugins - Interactive computation and visualization - Distributed computing Innovative aspects: Plateform for the aggregation of software components (plugins) dedicated to multidisciplinary numerical simulation in HPC environment Coupling of models (aerodynamics, electromagnetics, structural mechanics), coupling of numerical methods (finitevolume, finite-element, discontinuous Galerkin, linear solver, mesh generation, etc) Language, environment: C++, libraries Qt, vtk, mpi Keywords: simulation, plateform, HPC License: free for academic usage
  23. 23. Contact: rev@inrialpes.fr http://oar.imag.fr A task and resource management tool for computing infrastructures. Innovative aspects: Versatility, customisation, scaling up, control of complexity, flexible scheduler. Main fields of application: Use of infrastructures for high-performance computing. Language: Perl, Ruby, Ocaml, Bash, SQL. Available for UNIX: Debian, Centos, RedHat. Keywords: resource manager, clusters, light grid, cloud, HPC. License: GPL Partners: Used by (among others) Grid’5000, SensLAB, Mesocentre CIMENT, BRGM.
  24. 24. Contact: chantal.le_tonqueze@inria.fr http://www.openmask.org/ OpenMASK (Modular Animation and Simulation Kit) is a platform for modular heterogeneous and distributed applications supporting development and execution in animation, simulation and virtual reality fields. Innovative aspects: In OpenMASK, the modularity unit is the simulated object (OSO). It can be used to model and to control an entity or a virtual object behaviour or motion control as well as imput devices. Main fields of application: Manufacturing industry, sports, education, training. Key Words: Virtual reality, simulation, manmachine interfaces. Coding and Operating System: C++, Windows and Linux. License: QPL Academic Partners:
  25. 25. http://openvibe.inria.fr Contact : anatole.lecuyer@inria.fr Software platform to design, test and use Brain- Innovative aspects: enables real-time processing of brain data (EGG, MEG), i.e. their Computer Interfaces acquisition, filtering, feature extraction, Software for real-time Neuroscience, and the classification, visualization. OpenViBE also real-time processing of EEG signals includes an accessible graphical user interface (ElectroencephaloGraphy) for people not familiar with programming. Main fields of application: Health, Assisted living, Neuroscience, Robotics, Multimedia, Gaming, etc Key Words: Brain-Computer Interface (BCI), Neurofeedback, EEG, Signal processing, Virtual Reality (VR), 3D interaction Language, environment: C++ available under Windows and Linux. License: LGPL Academic Partners: INSERM, CEA-List, GIPSA-Lab
  26. 26. Contact: rev@inrialpes.fr http://locus.gforge.inria.fr P-LOCUS Innovative aspects: Locus divides the image LOCUS software analyses, in just a few minutes, a 3D MR brain scan and automatically into cubes and applies a statistical model to identifies brain tissues and a large number of each one. These local treatments are then integrated to ensure consistency at a global brain structures. level, an approach that also guarantees low sensitivity to artefacts. Main fields of application: Neurosciences and clinical applications: morphometry, monitoring pathologies and planning neurosurgery. Language, standard, environment: C, available under Linux, Windows, Mac Os Keywords: Brain MRI, statistical categorisation techniques, neurosciences License: proprietary Academic partners
  27. 27. Contact: sylvain.karpf@inria.fr http://paradiseo.gforge.inria.fr/ ParadisEO Paradiseo is a software framework for metaheuristics (optimisation algorithms aimed at solving difficult optimisation problems). It facilitates the use, development and comparison of classic, multi-objective, parallel or hybrid metaheuristics. ParadisEO-PEO ParadisEO-MO Innovative aspects: ParadisEO offers implementations of numerous classic metaheuristics from literature as well as innovative new metaheuristics. This software can also be used for parallelisation of metaheuristics. Main fields of application: ParadisEO is used to solve large-scale optimisation problems in a wide variety of fields, such as transport, logistics, telecommunication systems and bioinformatics. ParadisEO-MOEO ParadisEO-EO EO : Population-based metaheuristics Language, environment: available for Windows, Unix and Mac OS X, Language C++, CMake Keywords: Metaheuristics, parallelisation. MO : Single solution-based metaheuristics MOEO : Metaheuristics for multiobjective optimisation PEO : Hybrid, parallel and distributed metaheuristics License: freeware available Academic partners:
  28. 28. proactive.inria.fr ProActive Portable Java middleware designed for the distributed and parallel multi-core calculation. It allows the progamming and the execution of parallel applications as well as ressources management (workstations, servers, clusters, grids or cloud) Innovative aspects: Distributed active objects, seamless components migration, large scale communicating software components Main fields of application: Distributed systems and services Language, environment: Java (Linux, MacOS, Windows) Keywords: distributed computing, grids, cloudcomputing License : - Open source (AGPL) - Proprietary within
  29. 29. Contact: marianne.lamour@inria.fr http://www.labri.fr/~pelegrin/scotch/ (PT-)Scotch Scotch is a graph partitioner. It helps optimise the division of a problem, by means of a graph, into a set of independent sub-problems of equivalent sizes. These sub-problems can also be solved at the same time. Partitioning of edges into 8 parts. Each part is allocated to a different processor. Partitioning vertices to reorder blocks of a sparse matrix. Innovative aspects: Scotch calculates partitions on a sequential machine and PT-Scotch on a parallel machine. PT-Scotch can handle very large graphs (2 billion vertices or more) on several tens of thousands of processors. The quality of solutions provided by PT-Scotch does not depend on the number of processors on which it runs. Main fields of application : distributing a scientific problem's computing load across the processors of a parallel machine, placement of VLSI circuits, combinatorial optimisation, etc... Language: C Keywords: high-performance calculation, graph algorithmics, domain decomposition, mesh partitioning, sparse matrix ordering License: CECILL C
  30. 30. Contact: rev@inrialpes.fr http://nano-d.inrialpes.fr/ SAMSON A software platform for real-time modelling and Innovative aspects: simulation of natural or artificial nanosystems. The specific interest of SAMSON lies in the integration of simulation methods during the modelling phase: adaptive and interactive simulation algorithms immediately provide information on the consequences of modelling choices. Language, standard, environment: C++, available for Windows, Unix and Mac OS X Keywords: Modelling, Simulation, Nanosystems, Structural Biology, Chemistry Academic partners
  31. 31. Contact: bertrand.thirion@inria.fr http://scikit-learn.org Scikit-learn is a Python module integrating classic machine learning algorithms in the tightly-knit scientific Python world. It aims to provide simple and efficient solutions to learning problems, accessible to everybody and reusable in various contexts: machinelearning as a versatile tool for science and engineering. Innovative aspects: the added value of Scikit-Learn lies with the great quality and robustness of the functions available in its library. All functions are also extremely well documented. Main fields of application: Data mining, and more generaly any field requiring robust machine-learning solutions Language, environment: Scientific Python (Scipy) Keywords: Machine-Learning, Classification, regession , clustering License: BSD Academic partners: Telecom Paris, CEA Industrial Partners: Nuxeo, Saint Gobain, Logilab, Tinyclues
  32. 32. Selalib Selalib (SemiLagrangian Library) is a collection of modules conceived to aid in the development of plasma physics simulations, particularly in the study of turbulence in fusion plasmas. Selalib offers basic capabilities from general and mathematical utilities and modules to aid in parallelization, up to pre-packaged simulations. Contact: chacongolcher@math.unistra.fr http://selalib.gforge.inria.fr/ Innovative aspects: unavailability of basic software building blocks for simulations using the semilagrangian method. Need to include software engineering practices in an academic research environment. Main fields of application: high-level modules in the library are specialized for plasma physics. Low-levels are usable in parallel computing applications. Language, environment: Fortran 2003 Mettre une image représentative des fonctions du logiciel Keywords: plasma physics, semilagrangian method, parallel computing, plasma turbulence License: open source (Cecill-B), not released yet. Academic partners: University of Strasbourg, Max Planck Insitute - Garching.
  33. 33. Contact: catherine.lucquiaud@inria.fr http://simgrid.gforge.inria.fr/ Scientific Instrument for the study of Large-Scale Distributed Systems SimGrid is Easy-to-use Users can quickly setup a controlled simulation environment to develop and test new ideas with minimal technical effort. SimGrid is Versatile It provides models of Network, CPU and Disks adapted to (Data)Grids, P2P, Clouds, Clusters and HPC, allowing multi-domain studies. SimGrid ⇝ + Idea or MPI code Models Experimental Setup SimGrid is Trustworthy The models are theoretically grounded and experimentally validated. The results are reproducible, enabling better scientific practices. Scientific Results SimGrid is Scalable The simulation engine uses algorithmic and implementation techniques toward the fast simulation of large systems on a single machine. SimGrid is Open Due to its community-development philosophy, SimGrid is Usable it has been adopted by many researchers around the globe. Several associated tools are Ported to all major platforms and programming languages, it comes with an extensive tooling. contributed by its large user community. Keywords Large-Scale Distributed Systems; Reproducible Experiments; Simulation, Emulation. License: GNU LGPL Academic Partners:
  34. 34. Contact: christine.morin@inria.fr http://snooze.gforge.inria.fr/ Snooze : a Self-Organizing and Energy Aware Innovative aspects: - Energy conservation in clouds Cloud Management Framework. - Generic scheduling engine supporting VM placement, relocation and reconfiguration algorithms - Fault-tolerance - Self-organizing self-healing hierarchical architecture. Main fields of application: - Private cloud providers - Testbed for evaluation of VM scheduling algorithms in a real environment Language, environment: Java Keywords: Cloud computing, energy management, consolidation, fault-tolerance, self-organization, self-healing, virtualization License: GPL v2
  35. 35. Contact: sylvain.karpf@inria.fr www.sofa-framework.org SOFA is an Open Source framework primarily Innovative aspects: targeted at real-time simulation, with an SOFA works with numerous algorithms from a emphasis on medical simulation. variety of research fields. Very different kinds of models can be combined to produce complex simulations that remain compatible with optimal computation times. Main fields of application: learning and planning medical procedures, biomechanics, and video games... Language, standard, environment: C++, available for Windows, Unix and Mac OS X Keywords: physical simulation, biomechanics, computer-assisted surgery, GPU License: Open Source with certain proprietary modules Academic partners:
  36. 36. Raymond.namyst@inria.fr StarPu http://runtime.bordeaux.inria.fr/StarPU/ A runtime system for heterogeneous parallel machines Applications Parallel Compilers Parallel Libraries Main fields of application: • Energy, Weather Forecast, Aeronautics, Multimedia StarPU Drivers (CUDA, OpenCL) CPU GPU Goals: • Dynamically schedule tasks on all processing units - CPU + GPU, Xeon Phi • Minimize data transfers between accelerators Target for • Compilers: StarSs [UPC], HMPP [CAPS entreprise] • Parallel Libraries: MAGMA [UTK, USA] Xeon Phi Language: C (C++, Fortran) Keywords: GPU, multicore, scheduling, performance License: LGPL Academic partners:
  37. 37. SUP Contact: Francois.Bremond@inria.fr https://team.inria.fr/stars/software Scene Understanding Platform SUP is a software platform for perceiving, analyzing and interpreting a 3D dynamic scene observed through a network of sensors. It encompasses algorithms allowing for the modeling of interesting activities for users to enable their recognition in real-world applications requiring high-throughput. Innovative aspects: Detection of human (and vehicle or other) activities through video analysis and other sensors in big databases. Main fields of application: Health-care, security, protection of people and goods Language, environment: C++, cmake, multi-platform Keywords: activity recognition License: undetermined Academic partners: CHU Nice, CEA, USC California, Tainan (Taiwan), Hamburg University, I2R Singapore
  38. 38. Contact: verdandi-help@lists.gforge.inria.fr http://verdandi.gforge.inria.fr/ Verdandi is a C++ library for data assimilation. Innovative aspects: Verdandi shows a It includes several methods for the coupling great genericity which makes it adapted to between one or several numerical models and many numerical models (regardless of their observational data. Verdandi also includes language, data types, parallelization tools to ease the application of data strategy, ...). Computing performance is not assimilation, in particular in the management of impaired by this genericity. observations or for a priori uncertainty quantification. The library may be used with Main fields of application: The library may model implemented in Fortran, C, C++ or be used with any model, usually of high Python. dimension, to be coupled with observations, for state estimation or inverse modeling. Langage, standard, environnement: C++, Python interface. Compatibility with Linux, MacOS et Windows. Keywords: scientific computing, model, observation, data assimilation, state estimation, inverse modeling, uncertainties Licence: GNU LGPL, version 2.1 or later Nitrogen dioxide concentrations over Clermont-Ferrand, after the assimilation of observations (discs).
  39. 39. Contact: george.rosca@inria.fr http://yarta.gforge.inria.fr/ Middleware for managing social ecosystems which offers rich social interactions for mobile environments. Innovative aspects: advanced social access control mechanism, ubiquitous decentralized information system, interapplication data reusage, rich API for mobile specific social sensors Main fields of application: social application development, rich social interactions Language, environment: Java SE/Android Keywords: rdf, semantic web, social networks License: Dual, LGPL v2.1