| RansomBlocker: a Low-Overhead Ransomware-Proof SSD J Park, Y Jung, J Won, M Kang, S Lee, J Kim Proceedings of the 56th Annual Design Automation Conference 2019 (DAC '19), 2019 | 25 | 2019 |
| Themis: A Network Bandwidth-Aware Collective Scheduling Policy for Distributed Training of DL Models S Rashidi, W Won, S Srinivasan, S Sridharan, T Krishna Proceedings of the 49th Annual International Symposium on Computer …, 2022 | 23 | 2022 |
| ASTRA-sim2.0: Modeling Hierarchical Networks and Disaggregated Systems for Large-model Training at Scale W Won, T Heo, S Rashidi, S Sridharan, S Srinivasan, T Krishna Proceedings of the 2023 IEEE International Symposium on Performance Analysis …, 2023 | 17 | 2023 |
| 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, ... Proceedings of the 2021 IEEE International Parallel and Distributed …, 2021 | 16 | 2021 |
| LIBRA: Enabling Workload-aware Multi-dimensional Network Topology Optimization for Distributed Training of Large AI Models W Won, S Rashidi, S Srinivasan, T Krishna Proceedings of the 2024 IEEE International Symposium on Performance Analysis …, 2024 | 3* | 2024 |
| TACOS: Topology-Aware Collective Algorithm Synthesizer for Distributed Machine Learning W Won, M Elavazhagan, S Srinivasan, A Durg, S Kaul, S Gupta, T Krishna arXiv:2304.05301 [cs.DC], 2024 | 3* | 2024 |
| FRED: Flexible REduction-Distribution Interconnect and Communication Implementation for Wafer-Scale Distributed Training of DNN Models S Rashidi, W Won, S Srinivasan, P Gupta, T Krishna arXiv preprint arXiv:2406.19580, 2024 | | 2024 |
| MINT: Microarchitecture for Efficient and Interchangeable CompressioN Formats on Tensor Algebra. E Qin, G Jeong, W Won, SC Kao, H Kwon, S Srinivasan, D Das, GE Moon, ... Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2020 | | 2020 |
| Towards a Standardized Representation for Deep Learning Collective Algorithms J Yoo, W Won, M Cowan, N Jiang, B Klenk, T Krishna Workshop on Machine Learning for Computer Architecture and Systems 2024 …, 0 | | |
| Exploring Memory Expansion Designs for Training Mixture-of-Experts Models T Heo, S Rashidi, C Man, DK Kadiyala, W Won, S Srinivasan, ... Workshop on Hot Topics in System Infrastructure 2023 (HotInfra '23), 0 | | |
Tushar KrishnaAssociate Professor, Georgia Tech在 ece.gatech.edu 的电子邮件经过验证
