| Gamma: Automating the hw mapping of dnn models on accelerators via genetic algorithm SC Kao, T Krishna Proceedings of the 39th International Conference on Computer-Aided Design, 1-9, 2020 | 104 | 2020 |
| Confuciux: Autonomous hardware resource assignment for dnn accelerators using reinforcement learning SC Kao, G Jeong, T Krishna 2020 53rd Annual IEEE/ACM International Symposium on Microarchitecture …, 2020 | 89 | 2020 |
| Magma: An optimization framework for mapping multiple dnns on multiple accelerator cores SC Kao, T Krishna 2022 IEEE International Symposium on High-Performance Computer Architecture …, 2022 | 32 | 2022 |
| FLAT: An Optimized Dataflow for Mitigating Attention Performance Bottlenecks SC Kao, S Subramanian, G Agrawal, T Krishna arXiv preprint arXiv:2107.06419, 2021 | 21* | 2021 |
| Digamma: Domain-aware genetic algorithm for hw-mapping co-optimization for dnn accelerators SC Kao, M Pellauer, A Parashar, T Krishna 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), 232-237, 2022 | 16 | 2022 |
| Extending sparse tensor accelerators to support multiple compression formats E Qin, G Jeong, W Won, SC Kao, H Kwon, S Srinivasan, D Das, GE Moon, ... 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2021 | 15 | 2021 |
| Reinforcement learning based interconnection routing for adaptive traffic optimization SC Kao, CHH Yang, PY Chen, X Ma, T Krishna Proceedings of the 13th IEEE/ACM international symposium on networks-on-chip …, 2019 | 15 | 2019 |
| Dynamically updatable ternary segmented aging bloom filter for openflow-compliant low-power packet processing SC Kao, DY Lee, TS Chen, AY Wu IEEE/ACM Transactions on Networking 26 (2), 1004-1017, 2018 | 14 | 2018 |
| Demystifying map space exploration for NPUs SC Kao, A Parashar, PA Tsai, T Krishna 2022 IEEE International Symposium on Workload Characterization (IISWC), 269-281, 2022 | 8 | 2022 |
| DNNFuser: Generative pre-trained transformer as a generalized mapper for layer fusion in dnn accelerators SC Kao, X Huang, T Krishna arXiv preprint arXiv:2201.11218, 2022 | 5 | 2022 |
| Domain-specific genetic algorithm for multi-tenant dnnaccelerator scheduling SC Kao, T Krishna arXiv preprint arXiv:2104.13997, 2021 | 5 | 2021 |
| E3: A hw/sw co-design neuroevolution platform for autonomous learning in edge device SC Kao, T Krishna 2021 IEEE International Symposium on Performance Analysis of Systems and …, 2021 | 5 | 2021 |
| Training recipe for n: M structured sparsity with decaying pruning mask SC Kao, A Yazdanbakhsh, S Subramanian, S Agrawal, U Evci, T Krishna arXiv preprint arXiv:2209.07617, 2022 | 4 | 2022 |
| JaxPruner: A concise library for sparsity research JH Lee, W Park, NE Mitchell, J Pilault, JSO Ceron, HB Kim, N Lee, ... Conference on Parsimony and Learning, 515-528, 2024 | 3 | 2024 |
| Training Recipe for N: M Structured Sparsity with Decaying Pruning Mask A Yazdanbakhsh, SC Kao, S Agrawal, S Subramanian, T Krishna, U Evci arXiv preprint arXiv:2209.07617, 2022 | 1 | 2022 |
| ATTACC the Quadratic Bottleneck of Attention Layers. SC Kao, S Subramanian, G Agrawal, T Krishna ArXiv, abs/2107.06419, 2021 | 1 | 2021 |
| NonGEMM Bench: Understanding the Performance Horizon of the Latest ML Workloads with NonGEMM Workloads R Karami, H Kota, SC Kao, H Kwon arXiv preprint arXiv:2404.11788, 2024 | | 2024 |
| Progressive Gradient Flow for Robust N: M Sparsity Training in Transformers AR Bambhaniya, A Yazdanbakhsh, S Subramanian, SC Kao, S Agrawal, ... arXiv preprint arXiv:2402.04744, 2024 | | 2024 |
| A Formalism of DNN Accelerator Flexibility SC Kao, H Kwon, M Pellauer, A Parashar, T Krishna Proceedings of the ACM on Measurement and Analysis of Computing Systems 6 (2 …, 2022 | | 2022 |
| Generative Design of Hardware-aware DNNs SC Kao, A Ramamurthy, T Krishna arXiv preprint arXiv:2006.03968, 2020 | | 2020 |
Tushar KrishnaAssociate Professor, Georgia TechZweryfikowany adres z ece.gatech.edu
