Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Architecture oriented paraLlelization for high performance embedded Multicore systems using scilAb (ALMA)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Alternative Paths to Components and Systems
Action type: Collaborative project
Countries involved: Germany,France,Netherlands,Greece,Germany
Call:  (FP7-ICT-2011-7, 2011)
Start date: 2011-09-01
End date: 2015-01-31
Duration (months): 41.0
Total project cost (EUR): 4430522.0
EU funding (EUR): 3200000.0
Participants: 8
Project status: CLOSED

The mapping process of high performance embedded applications to today’s multiprocessor system on chip devices suffers from a complex toolchain and programming process. The problem here is the expression of parallelism with a pure imperative programming language which is commonly C. This traditional approach limits the mapping, partitioning and the generation of optimized parallel code, and consequently the achievable performance and power consumption of applications from different domains. The Architecture oriented paraLlelization for high performance embedded Multicore systems using scilAb (ALMA) project aims to bridge these hurdles through the introduction and exploitation of a Scilab-based toolchain which enables the efficient mapping of applications on multiprocessor platforms from high level of abstraction. This holistic solution of the toolchain allows the complexity of both the application and the architecture to be hidden, which leads to a better acceptance, reduced development cost and shorter time-to-market. Driven by the technology restrictions in chip design, the end of Moore’s law and an unavoidable increasing request of computing performance, ALMA is a fundamental step forward in the necessary introduction of novel computing paradigms and methodologies. ALMA helps to strengthen the position of the EU in the world market of multiprocessor targeted software toolchains. The challenging research will be achieved by the unique ALMA consortium which brings together industry and academia. High class partners from industry such as Recore and Intracom, will contribute their expertise in reconfigurable hardware technology for multi-core systems-on-chip, software development tools and real world applications. The academic partners will contribute their outstanding expertise in reconfigurable computing and compilation tools development.

Keywords: parallel computing systems,compilers,automatic parallelization,embedded multicore systems,task partitioning,scilab-based multicore programming,adl-based mpsoc simulation environment
Robustness by Autonomous Competence Enhancement (RACE)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Cognitive Systems and Robotics
Action type: Collaborative project
Countries involved: Germany,United Kingdom,Sweden,Germany,Portugal
Call:  (FP7-ICT-2011-7, 2011)
Start date: 2011-12-01
End date: 2014-11-30
Duration (months): 36.0
Total project cost (EUR): 3959142.0
EU funding (EUR): 2997298.0
Participants: 6
Project status: CLOSED

The overall aim of this project is to develop an artificial cognitive system, embodied by a service robot, able to build a high-level understanding of the world it inhabits by storing and exploiting appropriate memories of its experiences. Experiences will be recorded internally at multiple levels: high-level descriptions in terms of goals, tasks and behaviours, connected to constituting subtasks, and finally to sensory and actuator skills at the lowest level. In this way, experiences provide a detailed account of how the robot has achieved past goals or how it has failed, and what sensory events have accompanied the activities. Robot competence is obtained by abstracting and generalising from experiences, extending task planning and execution beyond preconceived situations. Activities successfully carried out by the robot for specific objects at specific locations may be generalised to activity concepts applicable to a larger variety of objects at variable locations. Conceptualisations may also result in commonsense insights, e.g. about object behaviour on tilted surfaces. The project aims to produce the following key results: (i) Robots capable of storing experiences in their memory in terms of multi-level representations connecting actuator and sensory experiences with meaningful high-level structures, (ii) Methods for learning and generalising from experiences obtained from behaviour in realistically scaled real-world environments, (iii) Robots demonstrating superior robustness and effectiveness in new situations and unknown environments using experience-based planning and behaviour adaptation. To achieve these ambitious goals, a consortium has been formed of research groups with long-standing expertise in high-level cognitive models, planning, learning, spatio-temporal knowledge representation, and robot sensing, navigation, and grasping. The consortium will establish a common conceptual framework for representing robot experiences, planning and learning. Results will be integrated and evaluated in an operational mobile platform with grasping facilities. We will demonstrate how a robot can evolve its understanding of the world as a result of novel experiences; and show how such understanding allows a robot to better cope with new situations and perform at a level of robustness and effectiveness not previously achievable.

Keywords: cognitive systems,interaction,robotics
Correct and Efficient Accelerator Programming (CARP)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Alternative Paths to Components and Systems
Action type: Collaborative project
Countries involved: United Kingdom,France,United Kingdom,Germany,Netherlands,Estonia,Finland,United Kingdom
Call:  (FP7-ICT-2011-7, 2011)
Start date: 2011-12-01
End date: 2015-02-28
Duration (months): 39.0
Total project cost (EUR): 4064431.0
EU funding (EUR): 2799429.0
Participants: 9
Project status: CLOSED

In recent years, massively parallel accelerator processors, primarily GPUs, have become widely available to end-users. Accelerators offer tremendous compute power at a low cost, and tasks such as media processing, simulation, medical imaging and eye-tracking can be accelerated to beat CPU performance by orders of magnitude. Performance is gained in energy efficiency and execution speed, allowing intensive media processing software to run in low-power consumer devices. Accelerators present a serious challenge for software developers. A system may contain one or more of the plethora of accelerators on the market, with many more products anticipated in the immediate future. Applications must exhibit portable correctness, operating correctly on any configuration of accelerators, and portable performance, exploiting processing power and energy efficiency offered by a wide range of devices. The aim of CARP is to design techniques and tools for correct and efficient accelerator programming:– Novel & attractive methods for constructing system-independent accelerator programs – Advanced code generation techniques to produce highly optimised system-specific code from system-independent programs – Scalable static techniques for analysing system-independent and system-specific accelerator programs both qualitatively and quantitatively CARP will integrate these methods, providing a unified accelerator development flow. This will: Reduce the cost of accelerator programming and time-to-market quotas – Increase energy efficiency of accelerated software, conserving battery life in mobile devices – Increase confidence in the reliability of accelerated software. The CARP consortium is composed of leading European research experts and prominent tool providers. CARP will be validated at: – Realeyes OÜ, Estonia, developers of eye-tracking solutions – Rightware Oy, Finland, developers of benchmarks for mobile devices – ARM Ltd, UK, designers of the Mali GPU and associated tools.

Keywords: multicore accelerator programming,performance portability,high-level programming models,auto parallelisation,gpgpus,formal verification,quantitative analysis,low-power computation,eye-tracking
Language Technology in the Web (LT-WEB)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Technologies for Digital Content and Languages
Action type: Coordination and support actions
Countries involved: Germany,Ireland,Czechia,Slovenia,Ireland,Czechia,United States,Germany,Spain,Germany
Call:  (FP7-ICT-2011-7, 2011)
Start date: 2012-01-01
End date: 2013-12-31
Duration (months): 24.0
Total project cost (EUR): 3046770.0
EU funding (EUR): 2550000.0
Participants: 13
Project status: CLOSED

The goal of LT-Web is to set the foundation for the integration of language technologies into core Web technologies, via the creation of a standard defining three kinds of metadata about: 1) information in Web content being relevant for language technology processing; 2) processes for creating Web content via localisation and content management work flows; 3) language technology applications and resources used in these applications. The organizations participating in LT-Web will join the World Wide Web Consortium (W3C) and create a group defining the metadata standard, within the Internationalization Activity of W3C. Using the credibility and outstanding position of W3C, LT-Web will create broad consensus across communities, involving producers of content, localization workers, language technology experts, browser vendors and users. W3C will help to establish a network between stakeholders in these communities, to ensure the long-term adoption of the metadata standard and future opportunities for integrating language technologies and emerging Web technologies. Finally, LT-Web will lay the technical foundations for new business opportunities, to reach out to a growing linguistic and cultural diversity of Web users in the European Union and its trade partners, and to respond to their specific needs in a timely and cost-effective manner.

Keywords: language technology,web technology,standardization,localization,content management
Large-scale, Cross-lingual Trend Mining and Summarisation of Real-time Media Streams (TRENDMINER)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Technologies for Digital Content and Languages
Action type: Collaborative project
Countries involved: Germany,United Kingdom,Bulgaria,United Kingdom,Netherlands,Italy,France,Spain,Hungary,Poland,Austria,India
Call:  (FP7-ICT-2011-7, 2011)
Start date: 2011-11-01
End date: 2014-10-31
Duration (months): 36.0
Total project cost (EUR): 3683928.0
EU funding (EUR): 2886000.0
Participants: 13
Project status: CLOSED

The recent massive growth in online media and the rise of user-authored content (e.g weblogs, Twitter, Facebook) has lead to challenges of how to access and interpret these strongly multilingual data, in a timely, efficient, and affordable manner. Scientifically, streaming online media pose new challenges, due to their shorter, noisier, and more colloquial nature. Moreover, they form a temporal stream strongly grounded in events and context. Consequently, existing language technologies fall short on accuracy, scalability and portability. The goal of this project is to deliver. innovative, portable open-source real-time methods for cross-lingual mining and summarisation of large-scale stream media. TrendMiner will achieve this through an inter-disciplinary approach, combining deep linguistic methods from text processing, knowledge-based reasoning from web science, machine learning, economics, and political science. No expensive human annotated data will be required due to our use of time-series data (e.g. financial markets, political polls) as a proxy. A key novelty will be weakly supervised machine learning algorithms for automatic discovery of new trends and correlations. Scalability and affordability will be addressed through a cloud-based infrastructure for real-time text mining from stream media. Results will be validated in two high-profile case studies: financial decision support (with analysts, traders, regulators, and economists) and political analysis and monitoring (with politicians, economists, and political journalists). The techniques will be generic with many business applications: business intelligence, customer relations management, community support. The project will also benefit society and ordinary citizens by enabling enhanced access to government data archives, summarisation of online health information , and tracking of hot societal issues. TrendMiner addresses Objective ICT-2011.4.2 Language Technologies, target outcome b) Information access and mining.

Keywords: real-time text mining and summarisation,multilinguality,weakly supervised machine learning,analysing media streams,information extraction,cloud-based infrastructure,time series modelling
uBiquitous, secUre inTernet-of-things with Location and contExt-awaReness (BUTLER)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Pervasive and Trusted Network and Service Infrastructures
Action type: Collaborative project
Countries involved: Germany,Spain,Italy,France,France,Finland,Italy,Switzerland,Luxembourg,Belgium,Spain,Germany,France,Germany,Spain
Call:  (FP7-ICT-2011-7, 2011)
Start date: 2011-10-01
End date: 2014-10-31
Duration (months): 37.0
Total project cost (EUR): 14427006.0
EU funding (EUR): 9708000.0
Participants: 23
Project status: CLOSED

Recent ICT advances are bringing to reality a world where sensors, actuators and smart portable devices are interconnected into an Internet-of-Things (IoT) ecosystem reaching 50 Billion devices by 2015. The IoT major challenges are, from a systemic viewpoint, smart resource management and digital security; and from a user/service perspective, the pervasiveness (uniformity of performance anytime and anywhere) and awareness (inversely proportional to the degree of knowledge required from users). BUTLER will be the first European project to emphasise pervasiveness, context-awareness and security for IoT. Through a consortium of leading Industrial, Corporate R&D and Academic partners with extensive and complementary know-how, BUTLER will integrate current and develop new technologies to form a “bundle” of applications, platform features and services that will bring IoT to life. For this purpose, BUTLER will focus on: a) Improving/creating enabling technologies to implement a well-defined vision of secure, pervasive and context-aware IoT, where links are inherently secure (from PHY to APP layers) applications cut across different scenarios (Home, Office, Transportation, Health, etc.), and the network reactions to users are adjusted to their needs (learned and monitored in real time). b) Integrating/developing a new flexible smartDevice-centric network architecture where platforms (devices) function according to three well-defined categories: smartObject (sensors, actuators, gateways), smartMobile (user’s personal device) and smartServers (providers of contents and services), interconnected over IPv6. c) Building a series of field trials, which progressively integrate and enhance state-of-the-art technologies to showcase BUTLER’s secure, pervasive and context-aware vision of IoT. In addition to these R&D innovations, BUTLER and its External Members Group will also aggregate and lead the European effort in the standardisation and exploitation of IoT technologies.

Keywords: smart security pervasive context awareness
eSafety Digital Maps Public Private Partnership Support Action (EMAPS)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: ICT for a low carbon economy
Action type: Coordination and support actions
Countries involved: Norway,Sweden,Germany,Belgium,United Kingdom,France,Netherlands,Belgium,Netherlands
Call:  (FP7-ICT-2011-7, 2011)
Start date: 2011-09-01
End date: 2013-06-30
Duration (months): 22.0
Total project cost (EUR): 452861.0
EU funding (EUR): 399000.0
Participants: 9
Project status: CLOSED

eMaPS stands for eSafety Digital Maps Public Private Partnership Support Action. It is a 18-month support action involving public and private partners to exploit the results of the ROSATTE project. eMaPS contributes to the establishment of an independent public-private implementation platform promoting the validated ROSATTE framework as an enabler for the implementation of actions 1.2 “Collection and provision of road data” and 1.3 “Accurate Public Data for Digital Maps” of the ITS Directive. The established collaboration between the ROSATTE protagonists and many public authorities and road operators is of particular interest for the next steps to accelerate the deployment of updated and maintained road data. The eSafety recommendation nr 12 on “Digital Map Database” is another driving force. eMaPS leading to the establishment of the ROSATTE implementation platform is seen as a necessary step to help the member states to setup and run the needed digital infrastructure. Supported by the member states and the map makers, its mission will be to inform and train the relevant actors, promote the benefits, guarantee harmonised implementation and provide solutions for certification and quality monitoring. In addition, the platform will have operational responsibilities, such as maintenance of a ROSATTE toolbox, etc. The eMaPS project bases its activities on the re-constitution of the eSafety Digital Map Working Group which will steer and define the framework in which the ROSATTE Implementation Platform needs to be created. The items addressed by the working group are ToR, Governance, actions, plans for standardisation, and minor studies and technical investigations. To promote the establishment of the platform, strong efforts to reach the public authorities will be done at national/regional/local level. Actions to obtain signature for the Memorandum of Understanding and Letter of Support will secure a harmonised deployment of the ROSATTE framework across Europe.

Keywords: digital maps,provision,maintenance,update,exchange,adas,eco-driving,public-private partnership,rosatte,implementation platform
Automatic Online Tuning (AUTOTUNE)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Alternative Paths to Components and Systems
Action type: Collaborative project
Countries involved: Germany,Austria,France,Spain,Ireland
Call:  (FP7-ICT-2011-7, 2011)
Start date: 2011-10-15
End date: 2015-04-14
Duration (months): 42.0
Total project cost (EUR): 3074602.0
EU funding (EUR): 2348980.0
Participants: 6
Project status: CLOSED

Performance analysis and tuning is an important step in programming multicore-based parallel architectures. While performance analysis tools exist that help the developer in analyzing the application performance, these tools do not give any recommendations how to tune the code. AutoTune will extend Periscope, an automatic online and distributed performance analysis tool developed by Technische Universität München, with automatic online tuning plugins for performance and energy efficiency tuning. The resulting Periscope Tuning Framework will be able to tune serial and parallel codes with/without GPU kernels and will return tuning recommendations that can be integrated into the production version of the code. The whole tuning process, consisting of automatic performance analysis and automatic tuning, will be executed online, i.e., during a single run of the application. The research results of AutoTune will be integrated into a commercial development environment of a European SME and validated with real-world codes. Results will be widely disseminated through high-quality publications, workshops and conferences, and the large user-base of a computing center and will influence teaching activities of the academic partners. The consortium unites European experts and comprises world-class universities, a major European supercomputing center, an innovative SME, as well as a major IT company, and has the required expertise to accomplish the aims of AutoTune.

Keywords: mutlicore-based parallel architectures,automatic performance and energy tuning
eCO-friendly urban Multi-modal route PlAnning Services for Mobile uSers (ECOMPASS)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: ICT for a low carbon economy
Action type: Collaborative project
Countries involved: Greece,Switzerland,Germany,Netherlands
Call:  (FP7-ICT-2011-7, 2011)
Start date: 2011-11-01
End date: 2014-12-31
Duration (months): 38.0
Total project cost (EUR): 4075024.0
EU funding (EUR): 2650000.0
Participants: 6
Project status: CLOSED

The demand for mobility of people and goods in urban environments steadily increases raising long-term sustainability, quality of life and environmental concerns. While ICTs have established the ground for developing intelligent transport services and applications, their effective use for supporting cleaner urban mobility still represents a major research challenge. eCOMPASS introduces new mobility concepts and establishes a methodological framework for route planning optimization following a holistic approach in addressing the environmental impact of urban mobility. eCOMPASS aims at delivering a comprehensive set of tools and services for end users to enable eco-awareness in urban multi-modal transportations. eCOMPASS involves a generic architecture that will consider all types and scenarios of human and goods mobility in urban environments minimizing their corresponding environmental impact. Firstly, the project will focus on the design and development of intelligent on-board and centralized vehicles’ fleet management systems; the fundamental objective of eco-awareness will be addressed through employing intelligent traffic prediction and traffic balancing methods, while also taking into account driving behaviour and considering the option of car drivers transferred to means of public transportation at suitable locations. Secondly, eCOMPASS will develop web and mobile services providing multi-modal public transportation route planning, taking into account contextual information (such as location and time) as well as various restrictions and/or user constraints. Recommended routes will be optimized mainly in terms of the transports’ environmental footprint, although additional objectives will also be considered. An important objective of eCOMPASS is to develop novel algorithmic solutions and deliver the respective services to familiar end-user mobile devices.

Keywords: route planning,algorithm design & engineering,combinatorial optimization,mobile web applications,vehicle navigators,multimodal public transport,urban mobility,environmental sustainability