Software programming environment for neuromorphic accelerator

Area
Computer Science - Compilation.

Title
Software programming environment for neuromorphic accelerator

The candidate should hold a Ph.D. in computer science. Expertise in either optimization algorithms, or FPGA place & route algorithms is particularly appreciated.

This post-doc position is part of the Arch²Neu project, funded by the French National Research Agency. This project aims at investigating the potential of neuromorphic architectures for computing purposes, and particularly for signal-processing applications. We are developing both the analog neuron hardware and the associated digital communications infrastructure, libraries of operators, and a compilation toolchain to provide the user with a robust, efficient, and easy-to-program accelerator for signal processing.

Signal processing tasks are decomposed into primitives (operators), that are well suited to spiking neural networks. Elementary operators can be composed to obtain larger applications, eventually mapped to the neural network hardware.
There is a need for an automated toolchain that maps a high-level application description onto the hardware.
The candidate will be in charge of designing this compilation toolchain, and the associated software optimizations.

The candidate will strongly interact with the other members of the project-team working on architecture and library design.

Arch2neu
http://arch2neu.saclay.inria.fr

Please contact:

Rodolphe Héliot
CEA LETI
rodolphe.heliot@cea.fr
Tel: + 33 4 38 78 17 69
http://www-leti.cea.fr/

Olivier Temam
INRIA Saclay
olivier.temam@inria.fr
Tel: + 33 1 72 92 59 52
www.inria.fr