Section: Partnerships and Cooperations
Inria Associate Team LRS
The goal of the team is twofold: i) Propose new methodologies and algorithms to tackle some of the open problems in automatic parallelization and high level hardware synthesis from nested loop specifications. In particular, we would like to address the problem of parallelization of complex bioinformatics algorithms based of sophisticated dynamic programming algorithms, for which we would like to propose efficient parallelization schemes for both FPGAs (Field Programmable Gate Arrays) and GPUs (Graphical Processing Units). ii) Provide a common open software infrastructure based on (modern/cutting edge) software engineering techniques (Model Driven Software Development) so as to help researchers prototyping new ideas and concept in the domain of optimizing compilers. Our goal being to be able to make our in-house software completely interoperable.
Inria International Partners
CNRS PICS - SPiNaCH (2012 - 2014)
Biomedical sensor networks may be used more and more in the future. For instance, they allow patient's health-care parameters to be remotely monitored at home. In this project, we plan to address two important challenges in the design of biomedical sensors networks: i) design of low-power sensor devices for embedded autonomous systems (health monitoring, pace-maker...) with long battery life; ii) confidentiality and security aspects and especially with public key cryptography processor that are robust against side channel attacks (measure of the computation time, the power consumption or the electromagnetic radiations of the circuit) and with limited power-energy resources.