Thermal-Aware Compilation of Spiking Neural Networks to Neuromorphic Hardware

Author:

Titirsha TwishaORCID,Das AnupORCID

Publisher

Springer International Publishing

Reference55 articles.

1. Balaji, A., et al.: A framework to explore workload-specific performance and lifetime trade-offs in neuromorphic computing. CAL 18, 149–152 (2019)

2. Balaji, A., Adiraju, P., Kashyap, H.J., Das, A., Krichmar, J.L., Dutt, N.D., Catthoor, F.: PyCARL: a PyNN interface for hardware-software co-simulation of spiking neural network. In: IJCNN (2020)

3. Balaji, A., Corradi, F., Das, A., Pande, S., Schaafsma, S., Catthoor, F.: Power-accuracy trade-offs for heartbeat classification on neural networks hardware. JOLPE 14, 508–519 (2018)

4. Balaji, A., Das, A.: A framework for the analysis of throughput-constraints of snns on neuromorphic hardware. In: ISVLSI (2019)

5. Balaji, A., et al.: Mapping spiking neural networks to neuromorphic hardware. TVLSI 28, 76–86 (2020)

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