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researResearch
IAHP
Computing and High Performance Architectures
Aims and objectives throughout the project
Project Leader :
Ronan Keryell
Department:
• Computer science
Project team:
Ronan Keryell,
Loïc Plassard.
Computer technology is at the heart of a growing number of applications and
users are keen to have ever more efficient tools at their disposal, whether it
be in terms of calculating power, energy consumption or miniaturisation.The
aim of this project is to develop new methods to improve performance to be
applied to different domains such as : embedded computing, integrated
circuits, scientific calculation and networks. This project places great
emphasis on ensuring that improvement in performance is not achieved at
the expense of security.
Within the framework of the Franco-German CoMap project involving the
UBO/LESTER/AS, ENSSAT/R2D2, Erlangen University, and Dresden University
teams, we are studying software transformations which enable simpler
programming of embedded systems of the MP-SoC type. For this, we use
high-level source programs to exploit different parallelism levels (processors,
units of calculation, SIMD mode.etc..)
For more distributed applications, we are studying, in collaboration with
Telecom SudPAris :
• new semi-automatic parallelisation methods enabling programming of
architectures without shared memory, with an « OpenMP - like »
formalism, using a check-pointing technique;
• the setting up and organisation, in the form of a concretely exploitable
calculation grid, of mobile phones to be used as processors.
Finally, we are aiming to combine high level performance and security with the
CryptoPage project within SAFESCALE, a collaborative effort involving the
Paris XIII, IMAG and IRISA teams. Here, the aim is, firstly, the design of a new
processor architecture with a trust mode which encrypts and verifies memory
and, secondly, setting up secure calculation services within a trust grid.
These distributed applications are complex to implement and administer. In
order to facilitate the process, we are developing, as part of the CAMA team’s
SAUNA project, a methodology and PCfEngine tool based on autonomous
systems.
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