| Cosa: Scheduling by constrained optimization for spatial accelerators Q Huang, M Kang, G Dinh, T Norell, A Kalaiah, J Demmel, J Wawrzynek, ... 2021 ACM/IEEE 48th Annual International Symposium on Computer Architecture …, 2021 | 135 | 2021 |
| Full stack optimization of transformer inference: a survey S Kim, C Hooper, T Wattanawong, M Kang, R Yan, H Genc, G Dinh, ... arXiv preprint arXiv:2302.14017, 2023 | 99 | 2023 |
| Communication-optimal convolutional neural nets J Demmel, G Dinh arXiv preprint arXiv:1802.06905, 2018 | 30 | 2018 |
| Dosa: Differentiable model-based one-loop search for dnn accelerators C Hong, Q Huang, G Dinh, M Subedar, YS Shao Proceedings of the 56th Annual IEEE/ACM International Symposium on …, 2023 | 18 | 2023 |
| Yakun Sophia Shao, and Amir Gholami. 2023. Full Stack Optimization of Transformer Inference: a Survey S Kim, C Hooper, T Wattanawong, M Kang, R Yan, H Genc, G Dinh, ... arXiv preprint arXiv:2302.14017, 2023 | 13 | 2023 |
| Communication-optimal tilings for projective nested loops with arbitrary bounds G Dinh, J Demmel Proceedings of the 32nd ACM Symposium on Parallelism in Algorithms and …, 2020 | 9 | 2020 |
| Communication bounds for convolutional neural networks A Chen, J Demmel, G Dinh, M Haberle, O Holtz Proceedings of the Platform for Advanced Scientific Computing Conference, 1-10, 2022 | 6 | 2022 |
| Full stack optimization of transformer inference: a survey. arXiv S Kim, C Hooper, T Wattanawong, M Kang, R Yan, H Genc, G Dinh, ... arXiv preprint arXiv:2302.14017, 2023 | 5 | 2023 |
| Tackling the matrix multiplication micro-kernel generation with exo A Castelló, J Bellavita, G Dinh, Y Ikarashi, H Martínez 2024 IEEE/ACM International Symposium on Code Generation and Optimization …, 2024 | 4 | 2024 |
| Sample-Efficient Mapspace Optimization for DNN Accelerators with Bayesian Learning G Dinh, IKJ Valsala, H Luo, C Hong, Y Cho, J Demmel, S Li, Y Liu Architecture and System Support for Transformer Models (ASSYST@ ISCA 2023), 2023 | 3 | 2023 |
| DOSA: One-loop DSE for DNN accelerators using differentiable models C Hong, Q Huang, G Dinh, S Shao Architecture and System Support for Transformer Models (ASSYST@ ISCA 2023), 2023 | 1 | 2023 |
| Interface for Sparse Linear Algebra Operations A Abdelfattah, W Ahrens, H Anzt, C Armstrong, B Brock, A Buluc, F Busato, ... arXiv preprint arXiv:2411.13259, 2024 | | 2024 |
| Full Stack Optimization of Transformer Inference S Kim, C Hooper, T Wattanawong, M Kang, R Yan, H Genc, G Dinh, ... Architecture and System Support for Transformer Models (ASSYST@ ISCA 2023), 2023 | | 2023 |
| Optimization-Based Mappers and Lower Bounds for Tensor Problems G Dinh UC Berkeley, 2023 | | 2023 |
| Generación de Micro-kernels para Multiplicación de Matrices con Exo A Castelló, J Bellavita, G Dinh, Y Ikarashi, H Martınez | | |
| Communication-Optimal Loop Tilings J Demmel, M Christ, G Dinh, N Knight, A Rusciano, T Scanlon, K Yelick | | |
