| NEBULA: A neuromorphic spin-based ultra-low power architecture for SNNs and ANNs S Singh, A Sarma, N Jao, A Pattnaik, S Lu, K Yang, A Sengupta, ... 2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture …, 2020 | 37 | 2020 |
| Gesture-snn: Co-optimizing accuracy, latency and energy of snns for neuromorphic vision sensors S Singh, A Sarma, S Lu, A Sengupta, V Narayanan, CR Das 2021 IEEE/ACM International Symposium on Low Power Electronics and Design …, 2021 | 12 | 2021 |
| Skipper: Enabling efficient snn training through activation-checkpointing and time-skipping S Singh, A Sarma, S Lu, A Sengupta, MT Kandemir, E Neftci, ... 2022 55th IEEE/ACM International Symposium on Microarchitecture (MICRO), 565-581, 2022 | 5 | 2022 |
| Exploiting activation based gradient output sparsity to accelerate backpropagation in CNNs A Sarma, S Singh, H Jiang, A Pattnaik, AK Mishra, V Narayanan, ... arXiv preprint arXiv:2109.07710, 2021 | 3 | 2021 |
| Federated Learning with Spiking Neural Networks in Heterogeneous Systems SA Tumpa, S Singh, MFF Khan, MT Kandemir, V Narayanan, CR Das 2023 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 1-6, 2023 | 2 | 2023 |
| Analysis of distributed deep learning in the cloud A Sharma, VM Bhasi, S Singh, R Jain, JR Gunasekaran, S Mitra, ... arXiv preprint arXiv:2208.14344, 2022 | 2 | 2022 |
| Structured in space, randomized in time: Leveraging dropout in rnns for efficient training A Sarma, S Singh, H Jiang, R Zhang, M Kandemir, C Das Advances in Neural Information Processing Systems 34, 24545-24555, 2021 | 2 | 2021 |
| Stash: A comprehensive stall-centric characterization of public cloud VMs for distributed deep learning A Sharma, VM Bhasi, S Singh, R Jain, JR Gunasekaran, S Mitra, ... 2023 IEEE 43rd International Conference on Distributed Computing Systems …, 2023 | 1 | 2023 |
| GPU Cluster Scheduling for Network-Sensitive Deep Learning A Sharma, VM Bhasi, S Singh, G Kesidis, MT Kandemir, CR Das arXiv preprint arXiv:2401.16492, 2024 | | 2024 |
| Co-Architecting Brain-inspired Algorithms and Hardware for Performance and Energy Efficiency S Singh The Pennsylvania State University, 2023 | | 2023 |
