| Compiling spiking neural networks to neuromorphic hardware S Song, A Balaji, A Das, N Kandasamy, J Shackleford The 21st ACM SIGPLAN/SIGBED Conference on Languages, Compilers, and Tools …, 2020 | 56 | 2020 |
| Endurance-aware mapping of spiking neural networks to neuromorphic hardware T Titirsha, S Song, A Das, J Krichmar, N Dutt, N Kandasamy, F Catthoor IEEE Transactions on Parallel and Distributed Systems 33 (2), 288-301, 2021 | 51 | 2021 |
| Improving phase change memory performance with data content aware access S Song, A Das, O Mutlu, N Kandasamy Proceedings of the 2020 ACM SIGPLAN International Symposium on Memory …, 2020 | 50 | 2020 |
| Enabling resource-aware mapping of spiking neural networks via spatial decomposition A Balaji, S Song, A Das, J Krichmar, N Dutt, J Shackleford, N Kandasamy, ... IEEE Embedded Systems Letters 13 (3), 142-145, 2020 | 37 | 2020 |
| DFSynthesizer: Dataflow-based synthesis of spiking neural networks to neuromorphic hardware S Song, H Chong, A Balaji, A Das, J Shackleford, N Kandasamy ACM Transactions on Embedded Computing Systems (TECS) 21 (3), 1-35, 2022 | 36 | 2022 |
| A case for lifetime reliability-aware neuromorphic computing S Song, A Das arXiv preprint arXiv:2007.02210, 2020 | 36 | 2020 |
| NeuroXplorer 1.0: An extensible framework for architectural exploration with spiking neural networks A Balaji, S Song, T Titirsha, A Das, J Krichmar, N Dutt, J Shackleford, ... International Conference on Neuromorphic Systems 2021, 1-9, 2021 | 34 | 2021 |
| A framework to explore workload-specific performance and lifetime trade-offs in neuromorphic computing A Balaji, S Song, A Das, N Dutt, J Krichmar, N Kandasamy, F Catthoor IEEE Computer Architecture Letters 18 (2), 149-152, 2019 | 34 | 2019 |
| Enabling and exploiting partition-level parallelism (PALP) in phase change memories S Song, A Das, O Mutlu, N Kandasamy ACM Transactions on Embedded Computing Systems (TECS) 18 (5s), 1-25, 2019 | 34 | 2019 |
| Improving dependability of neuromorphic computing with non-volatile memory S Song, A Das, N Kandasamy 2020 16th European Dependable Computing Conference (EDCC), 17-24, 2020 | 33 | 2020 |
| On the role of system software in energy management of neuromorphic computing T Titirsha, S Song, A Balaji, A Das Proceedings of the 18th ACM International Conference on Computing Frontiers …, 2021 | 32 | 2021 |
| A design flow for mapping spiking neural networks to many-core neuromorphic hardware S Song, ML Varshika, A Das, N Kandasamy 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 1-9, 2021 | 31 | 2021 |
| Aging-aware request scheduling for non-volatile main memory S Song, A Das, O Mutlu, N Kandasamy Proceedings of the 26th Asia and South Pacific Design Automation Conference …, 2021 | 30 | 2021 |
| Dynamic reliability management in neuromorphic computing S Song, J Hanamshet, A Balaji, A Das, JL Krichmar, ND Dutt, ... ACM Journal on Emerging Technologies in Computing Systems (JETC) 17 (4), 1-27, 2021 | 25 | 2021 |
| Exploiting inter-and intra-memory asymmetries for data mapping in hybrid tiered-memories S Song, A Das, N Kandasamy Proceedings of the 2020 ACM SIGPLAN International Symposium on Memory …, 2020 | 25 | 2020 |
| Automated generation of integrated digital and spiking neuromorphic machine learning accelerators S Curzel, NB Agostini, S Song, I Dagli, A Limaye, C Tan, M Minutoli, ... 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 1-7, 2021 | 21 | 2021 |
| Special session: Reliability analysis for ML/AI hardware S Kundu, K Basu, M Sadi, T Titirsha, S Song, A Das, U Guin arXiv preprint arXiv:2103.12166, 2021 | 21 | 2021 |
| Improving inference lifetime of neuromorphic systems via intelligent synapse mapping S Song, T Titirsha, A Das 2021 IEEE 32nd International Conference on Application-specific Systems …, 2021 | 18 | 2021 |
| Design methodologies for reliable and energy-efficient PCM systems S Song, A Das 2020 11th International Green and Sustainable Computing Workshops (IGSC), 1-3, 2020 | 17 | 2020 |
| Special session: Reliability analysis for AI/ML hardware S Kundu, K Basu, M Sadi, T Titirsha, S Song, A Das, U Guin 2021 IEEE 39th VLSI Test Symposium (VTS), 1-10, 2021 | 15 | 2021 |