Download Folie 0 - Heterogeneous Technology Alliance

Heterogeneous
Technology
Alliance
Neuromorphic circuits for low-power
Digital Signal Processing.
The Heterogeneous Technology Alliance HTA
Neuromorphic circuits for low-power Digital Signal Processing.
• On going projects
• REPTILE (2011)
• 65 nm
• 1 mm²
• mixed-signal design
• 32 Analog neurons
• Results
• 40 pJ/spike (best state-of-the-art)
• X30 power efficiency (digital signal
processing, estimation)
• SPIDER (2013)
• Full range architecture
• 25x32 neurons
• On-going results
[1] A. Joubert, et al, "Hardware spiking neurons design: Analog or digital?", in Proceedings of the 2012
Annual International Joint Conference on Neural Networks (IJCNN), June 2012
[2] A. Joubert, et al, "Capacitance of TSVs in 3-D stacked chips a problem? Not for neuromorphic
systems!", in Proceedings of the 49th Annual Design Automation Conference (DAC), June 2012
[3] B. Belhadj, et al, "Configurable conduction delay circuits for high spiking rates", in Proceedings of the
2012 IEEE International Symposium on Circuits and Systems (ISCAS), May 2012
Project Idea: Neuromorphic circuits for low-power
Digital
Signal Processing
The
Heterogeneous
Technology Alliance HTA
EU call:
Contact:
[email protected]
Project Idea short description: Neuromorphic circuits for low-power Digital Signal
Processing.
Short Description:
Designing a family of neuromorphic accelerators for fast/low-power signal processing
Replacement of classical DSP with breakthrough power gains (30x)
Potential Applications:
Co-processors in multi-core of µcontroller systems
Competences needed:
Mix analog / digital design
Network-on-Chip specific design
Neuromorphic architectures programming
Network
infra
Hubs
Nodes