| SpinalFlow: An architecture and dataflow tailored for spiking neural networks S Narayanan, K Taht, R Balasubramonian, E Giacomin, PE Gaillardon 2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture …, 2020 | 72 | 2020 |
| Wire-aware architecture and dataflow for cnn accelerators S Gudaparthi, S Narayanan, R Balasubramonian, E Giacomin, ... Proceedings of the 52nd annual ieee/acm international symposium on …, 2019 | 43 | 2019 |
| INXS: Bridging the throughput and energy gap for spiking neural networks S Narayanan, A Shafiee, R Balasubramonian 2017 International Joint Conference on Neural Networks (IJCNN), 2451-2459, 2017 | 30 | 2017 |
| CANDLES: Channel-aware novel dataflow-microarchitecture co-design for low energy sparse neural network acceleration S Gudaparthi, S Singh, S Narayanan, R Balasubramonian, V Sathe 2022 IEEE International Symposium on high-performance computer architecture …, 2022 | 10 | 2022 |
| Spinalflow: An architecture and dataflow tailored for spiking neural networks. In 2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture (ISCA) S Narayanan, K Taht, R Balasubramonian, E Giacomin, PE Gaillardon IEEE, 349ś362, 2020 | 10 | 2020 |
| Moving CNN accelerator computations closer to data S Gudaparthi, S Narayanan, R Balasubramonian 2018 1st Workshop on Energy Efficient Machine Learning and Cognitive …, 2018 | 1 | 2018 |
| A Case for Dynamic Activation Quantization in CNNs K Taht, S Narayanan, R Balasubramonian 2018 1st Workshop on Energy Efficient Machine Learning and Cognitive …, 2018 | | 2018 |
| EMC2 2018 K Khouri, C Qi, G Fursin, K Taht, S Narayanan, R Balasubramonian, ... | | |
