1. Research objectives of Thales R&T in embedded HPC and MPC domains
François Duhem
INFIERI WK8 - Fermilab

2. Agenda Thales presentation Thales R&T activities in HPC lab
Research objectives

3. Thales 62,000 56 707 14 Collective intelligence for a safer world
Employees
Global presence
Self-funded R&D* 2015
62,000 56
707
Whenever critical decisions need to be made, Thales has a role to play. In all its markets (aerospace, space, ground transportation, defence and security ) Thales solutions help customers to make the right decisions at the right time and act accordingly.
World-class technology, the combined expertise of 62,000 employees and operations in 56 countries have made Thales a key player in keeping the public safe and secure, guarding vital infrastructure and protecting the national security interests of countries around the globe.
countries
million euros
(workforce under management at 31 Dec. 2015)
* Does not include therefore R&D undertaken with external funding.
A balanced revenue structure
Shareholders (at 31 December 2014)
Defence
50%
Civil
50%
26,4%
French State
Revenues in 2015
Float
48,3% 14
25,3%
Dassault Aviation
billion euros
of which employee-owned 2%

4. Thales Research & Technology France
Biggest research center of the Thales group
Four research groups in different domains
Information technology
Physics
Technology and measurements
III-V lab
IT research group divided in labs
High-performance computing
Critical embedded systems
Software and system engineering
Complex systems analysis
Decision and optimisation

5. Thales R&T activities in HPC lab
Two main research themes
High-performance computing architectures
Finding the right architecture for a given application domain
Tooled-up flows for high-performance cyber-physical systems
Efficiently programming adaptive architectures
Within INFIERI: 2 ERs & 1 secondment
Wilder Lopes (ER)
Alberto García Fernández (ER)
Alvin Sashala Naik (Secondment from CNRS)

6. High-performance computing architectures and platforms
Raw data
High throughput
Sensors
Computer
Useful information

7. What architecture for my processor?
Sizing the processor

8. What architecture for my system/platform?

9. The way we build products…

10. …won't work for long

11. Evolution required!

12. Use case: medical imaging
In collaboration with Thales Electron Devices
One out of two X-ray imaging systems uses Thales equipment
Real-time X-Ray imaging challenges
Radiation dose lowering
Real-time noise reduction
Low volume, on sensor
Low dissipation
x10 Flops/Watt

13. Tooled-up flows for high-performance cyber-physical systems
Move towards adaptive applications
For scalability and resilience

14. Dynamic real-time applications (cyber-physical systems)

15. Tooled-up flows for high-performance cyber-physical systems
Move towards adaptive applications
For scalability and resilience
New architecture required!

16. Current architecture vs future architecture

17. Tooled-up flows for high-performance cyber-physical systems
Move towards adaptive applications
For scalability and resilience
New architecture required!
How to efficiently program runtime adaptive platforms for real-time embedded systems?
Runtime instantiation of pre-mapped applications
Brokering scheme for deciding on a quality-of-service

18. Simulator using Ptolemy II
Mission manager
Broker
Mapper
Monitor

19. Ongoing activities
Deterministic communication framework for adaptive systems
Dynamic workload partitioning from pre-defined configurations
Definition of brokering rules
Collection of dynamic, data-intensive test scenarios

20. Thank you for your attention!