Inria - Software assets - Energy

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: sylvain.karpf@inria.fr
http://www.apisense.fr

APISENSE®
APISENSE platform is a software solution
to collect various contextual information

from Android devices (client application)

The software architecture of APISENSE
ensures privacy to the mobile application users
(CNIL certified) and preserves the device’s
battery.

and automatically upload collected data
to a server (deployed as a SaaS).
APISENSE
computing
datasets

is

based

on

infrastructure
collection

from

to

a

Cloud
facilitate

significant

populations of mobile users for research
purposes.

Due to its openness, the platform is adaptable
to different requirements and fosters the
deployment of experiments.

Language & environment : Java, Scala,
JavaScript & Python available for Windows,
Unix and MacOS X. Android mobile application
Mots clefs : mobile sensing, crowd-sensing,
crowd-sourcing, Android
Licence : open platform for research activities
and proprietary license for industrial applications
Academic partner:

Contact: chantal.le_tonqueze@inria.fr
http://www.eclipse.org/m2m/atl/

ATL (AtlanMod Transformation Language) is a Innovative aspects:
Support for all model types (e.g., UML2),
tool dedicated to model transformation,
declarative (QVT-like) and imperative
complete, integrated into Eclipse and including
syntaxes.
its own development & execution environment,
Main fields of application:
concrete examples as well as the
Code generation preparing, reverse
corresponding associated documentation
engineering of legacy systems, tool
interoperability, etc. More generally, any
context implying model processing.
Keywords: MDA, MDE, ATL, QVT, model,
transformation

Language, standard, environment:
Eclipse, EMF, Java
License: Eclipse Public License (EPL)

Partners:

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
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.
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.

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

H2OLab

Contact: jocelyne.erhel@inria.fr
URL: http://h2olab.inria.fr/
Innovative aspects:

 Modeling and numerical simulation of aquifers

 Generation of random fields

 Porous and fractured heterogeneous media
 Flow with mixed finite elements
 Solute transport with a Lagrangian method
 Stochastic modeling for data uncertainty.


 Generation and meshing of random fracture networks
 Multilevel parallelism : subdomains, particles, random
samples.

 Groundwater resources management

 Prevention and remediation of pollutions
 Nuclear waste deep storage
 CO2 sequestration
 Energy resources exploitation (geothermy, oil, gas).

Language, environment: C++
Modular structure, distributed parallelism with MPI
Integrated development environment (Visual, Eclipse)
Continuous integration server (Jenkins)
Project management (Gforge, Redmine)
Free numerical libraries (CGAL, HYPRE, etc).

Keywords: Modeling, simulation, multiscale,
uncertainly, heterogeneity, hydrogeology,
groundwater, contamination, energy.

License: license agreement on demand
MICAS consortium of 4 research laboratories.

Academic partners:

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.
- 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.
- 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.

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
Ruby, Bash
Keywords: environment configuration
License: CECILL Licence V2

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

http://www.moosetechnology.org

Moose is an extensive platform for software
and data analysis. It offers multiple services
ranging from importing and parsing data, to
modeling, to measuring, querying, mining, and
to building interactive and visual analysis tools.

Innovative aspects:
Moose accelerates production of software
analyses by providing expandable models and
reusable libraries. Several models are offered
for static or dynamic analysis of programmes,
development logs, procedural code or aspect.
Smalltalk (open-source Pharo)
Windows, Linux, Mac
Main fields of application: Retroengineering, Meta-modelling, Software
visualisation
License: BSD licence
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.
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:

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

http://oar.imag.fr

A task and resource management tool for
computing infrastructures.

Innovative aspects:
Versatility, customisation, scaling up, control of
complexity, flexible scheduler.
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.

OCaml
The OCaml language is a functional programming
language that combines safety with expressiveness
through the use of a precise and flexible type system with
automatic type inference. The OCaml system is a
comprehensive implementation of this language, featuring
two compilers (a bytecode compiler, for fast prototyping
and interactive use, and a native-code compiler producing
efficient machine code for x86, ARM, PowerPC and
SPARC), a debugger, a documentation generator, a
compilation manager, a package manager, and many
libraries contributed by the user community.

Contact: Xavier.Leroy@inria.fr
http://caml.inria.fr/
http://ocaml.org/
Innovative aspects:
OCaml is one of the three most widely-used functional
programming languages, and the only one that
seamlessly combines functional, imperative and
object-oriented programming within a single type
system.
Main fields of application: Symbolic computation :
compilers, code generators, static analyzers, formal
verification tools, automated theorem provers, interactive
proof assistants. High-level systems, network and Web
programming. OCaml is also used in the financial
industry, notably for modeling and pricing complex
financial products.
Language, environment: Programmed in OCaml and in
C, the OCaml system supports Linux, BSD, MacOS X,
and Microsoft Windows.
Keywords: functional programming, static typing,
symbolic computation, compilation, static analysis.,
License: OCaml is free software, distributed under QPL
and LGPL licences. A specific BSD-like license is offered
to members of the Caml Consortium.

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.

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://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:

http://www.pharo-project.org

Pharo
By providing a stable and small core system,
excellent dev tools, and maintained releases,
Pharo is an attractive platform to build and
deploy mission critical Smalltalk applications.

Innovative aspects:
Providing a stable system, a simple kernel,
excellent development tools and regular
updates, Pharo is an attractive platform for
creating and rolling out critical applications in
Smalltalk.
Language, environment: Operates under
Windows, Unix, Mac OS X and iPhone.
Keywords : Object programming, reflective
system, Smalltalk.
License: MIT
Academic partners:

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

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

Java (Linux, MacOS, Windows)
Keywords: distributed computing, grids,
cloudcomputing
License :
- Open source (AGPL)
- Proprietary within

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.

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.
- 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

Raymond.namyst@inria.fr

StarPu

http://runtime.bordeaux.inria.fr/StarPU/

A runtime system for heterogeneous
parallel machines
Applications
Parallel
Compilers

Parallel
Libraries

•
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.

Health-care, security, protection of people and
goods
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

Inria - Software assets - Energy

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