Test and Reliability of Emerging Memory-based Spiking Neural Networks – EMINENT
The EMINENT project is concerned with the following research areas: (i) emerging memory technologies (memristors and spintronic devices) used in a non-Von Neumann context, (ii) hardware implementations of bio-inspired neural networks (Spiking Neural Networks), (iii) hardware dependability (robustness, reliability and test) and design-for-dependability. The goal of the EMINENT project is to provide a dependable Emerging Memory-based Spiking Neural Network architecture. This goal will be achieved by fulfilling the following objectives: (i) study of meaningful dependability threats in SNN architectures, (ii) reliability estimation campaign; (iii) post-fabrication test strategy and design-for-test solutions; (iv) strategy for architecture dependability improvement.
Project coordination
Ioana VATAJELU (Techniques de l'Informatique et de la Microélectronique pour l'Architecture des systèmes intégrés)
The author of this summary is the project coordinator, who is responsible for the content of this summary. The ANR declines any responsibility as for its contents.
Partner
TIMA Techniques de l'Informatique et de la Microélectronique pour l'Architecture des systèmes intégrés
Help of the ANR 175,500 euros
Beginning and duration of the scientific project:
October 2019
- 42 Months