| Memmap: Compact and generalizable meta-lstm models for memory access prediction A Srivastava, TY Wang, P Zhang, CAF De Rose, R Kannan, VK Prasanna Advances in Knowledge Discovery and Data Mining: 24th Pacific-Asia …, 2020 | 19 | 2020 |
| C-memmap: clustering-driven compact, adaptable, and generalizable meta-lstm models for memory access prediction P Zhang, A Srivastava, TY Wang, CAF De Rose, R Kannan, VK Prasanna International Journal of Data Science and Analytics 13 (1), 3-16, 2022 | 14 | 2022 |
| A framework for task mapping onto heterogeneous platforms TY Wang, A Srivastava, V Prasanna 2020 IEEE High Performance Extreme Computing Conference (HPEC), 1-6, 2020 | 7 | 2020 |
| Accelerating sparse MTTKRP for tensor decomposition on FPGA S Wijeratne, TY Wang, R Kannan, V Prasanna Proceedings of the 2023 ACM/SIGDA International Symposium on Field …, 2023 | 5 | 2023 |
| Monte carlo tree search for task mapping onto heterogeneous platforms TY Wang, W Chang, A Srivastava, R Kannan, V Prasanna 2021 IEEE 28th International Conference on High Performance Computing, Data …, 2021 | 3 | 2021 |
| Throughput optimization in heterogeneous MIMO networks: a GNN-based approach TY Wang, H Zhou, R Kannan, A Swami, V Prasanna Proceedings of the 1st International Workshop on Graph Neural Networking, 42-47, 2022 | 2 | 2022 |
| Towards programmable memory controller for tensor decomposition S Wijeratne, TY Wang, R Kannan, V Prasanna arXiv preprint arXiv:2207.08298, 2022 | 1 | 2022 |
| Training Heterogeneous Graph Neural Networks using Bandit Sampling TY Wang, R Kannan, V Prasanna Proceedings of the 32nd ACM International Conference on Information and …, 2023 | | 2023 |
