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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
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
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:
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 :
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
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:
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 :
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.
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)
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 :
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
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
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)
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.
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:
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
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:
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:
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
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:
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:
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
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.
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:
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
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
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:
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
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
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
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
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.
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:
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
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:
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:
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
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).
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

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Inria - Software assets - Biotechnology

  • 1.
  • 2. 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
  • 3. 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
  • 4. 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:
  • 5. 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 :
  • 6. 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
  • 7. 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:
  • 8. 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 :
  • 9. 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.
  • 10. 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)
  • 11. 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 :
  • 12. 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
  • 13. 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
  • 14. 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)
  • 15. 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.
  • 16. 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:
  • 17. 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
  • 18. 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:
  • 19. 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:
  • 20. 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
  • 21. 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:
  • 22. 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:
  • 23. 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
  • 24. 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.
  • 25. 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:
  • 26. 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
  • 27. 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
  • 28. 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:
  • 29. 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
  • 30. 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
  • 31. 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
  • 32. 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
  • 33. 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.
  • 34. 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:
  • 35. 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
  • 36. 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:
  • 37. 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:
  • 38. 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
  • 39. 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).
  • 40. 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