| Understanding the design-space of sparse/dense multiphase gnn dataflows on spatial accelerators R Garg, E Qin, F Muñoz-Matrínez, R Guirado, A Jain, S Abadal, ... 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2022 | 31* | 2022 |
| Flexagon: A Multi-Dataflow Sparse-Sparse Matrix Multiplication Accelerator for Efficient DNN Processing F Muñoz-Martínez, R Garg, M Pellauer, JL Abellán, ME Acacio, T Krishna Proceedings of the 28th ACM International Conference on Architectural …, 2023 | 20 | 2023 |
| Enabling Flexibility for Sparse Tensor Acceleration via Heterogeneity E Qin, R Garg, A Bambhaniya, M Pellauer, A Parashar, S Rajamanickam, ... arXiv preprint arXiv:2201.08916, 2022 | 8 | 2022 |
| PipeOrgan: Efficient Inter-operation Pipelining with Flexible Spatial Organization and Interconnects R Garg, H Kwon, E Qin, YH Chen, T Krishna, L Lai arXiv preprint arXiv:2405.01736, 2024 | | 2024 |
| Exploiting Inter-Operation Data Reuse in Scientific Applications using GOGETA R Garg, M Pellauer, S Rajamanickam, T Krishna arXiv preprint arXiv:2303.11499, 2023 | | 2023 |
| Understanding the Design Space of Dataflows for Graph Neural Network Accelerators R Garg Georgia Institute of Technology, 2021 | | 2021 |
| A High-Speed Pipelined Architecture for Block Motion Estimation Using Hexagon-Based Search Algorithm R Garg, KBR Teja 2018 15th IEEE India Council International Conference (INDICON), 1-4, 2018 | | 2018 |
Tushar KrishnaAssociate Professor, Georgia Tech在 ece.gatech.edu 的电子邮件经过验证
