| Bit-tactical: A software/hardware approach to exploiting value and bit sparsity in neural networks A Delmas Lascorz, P Judd, DM Stuart, Z Poulos, M Mahmoud, S Sharify, ... Proceedings of the Twenty-Fourth International Conference on Architectural …, 2019 | 160* | 2019 |
| Laconic deep learning inference acceleration S Sharify, AD Lascorz, M Mahmoud, M Nikolic, K Siu, DM Stuart, Z Poulos, ... Proceedings of the 46th International Symposium on Computer Architecture …, 2019 | 120 | 2019 |
| Memory requirements for convolutional neural network hardware accelerators K Siu, DM Stuart, M Mahmoud, A Moshovos 2018 IEEE International Symposium on Workload Characterization (IISWC), 111-121, 2018 | 91 | 2018 |
| Shapeshifter: Enabling fine-grain data width adaptation in deep learning AD Lascorz, S Sharify, I Edo, DM Stuart, OM Awad, P Judd, M Mahmoud, ... Proceedings of the 52nd Annual IEEE/ACM International Symposium on …, 2019 | 45 | 2019 |
| Neural network accelerator A Moshovos, AD Lascorz, Z Poulos, DM Stuart, P Judd, S Sharify, ... US Patent App. 16/968,678, 2021 | 16 | 2021 |
| Quantization error as a metric for dynamic precision scaling in neural net training I Taras, DM Stuart arXiv preprint arXiv:1801.08621, 2018 | 11* | 2018 |
| Gpu-accelerated parameter selection for neural connectivity analysis devices G O'Leary, I Taras, DM Stuart, J Koerner, DM Groppe, TA Valiante, ... 2018 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1-4, 2018 | 3 | 2018 |
| Accelerating Image-Sensor-Based Deep Learning Applications M Mahmoud, DM Stuart, Z Poulos, AD Lascorz, P Judd, S Sharify, ... IEEE Micro 39 (5), 26-35, 2019 | 1 | 2019 |
| Identifying and Exploiting Ineffectual Computations to Enable Hardware Acceleration of Deep Learning A Moshovos, J Albericio, P Judd, A Delmas, S Sharify, M Mahmoud, ... 2018 16th IEEE International New Circuits and Systems Conference (NEWCAS …, 2018 | 1 | 2018 |
| AMD XDNA™ NPU in Ryzen™ AI Processors A Rico, S Pareek, J Cabezas, D Clarke, B Ozgul, F Barat, Y Fu, S Münz, ... IEEE Micro, 2024 | | 2024 |
| Weight sparsity in data processing engines FB Quesada, B Ozgul, D Stuart, S Munz, Z Dickman, JC RODRIGUEZ, ... US Patent App. 17/867,630, 2023 | | 2023 |
| Multiple overlays for use with a data processing array B Ozgul, D Clarke, P McColgan, S Munz, D Stuart, PMP Duarte, JJN Serra US Patent App. 17/819,879, 2023 | | 2023 |
| Adaptive matrix multipliers S Munz, FB Quesada, B Ozgul, JC RODRIGUEZ, Z Dickman, PMP Duarte, ... US Patent App. 17/867,625, 2023 | | 2023 |
| An Efficient Hardware Architecture for Exploiting Sparsity in Neural Networks DM Stuart University of Toronto, 2019 | | 2019 |
