| Systolic Tensor Array: An Efficient Structured-Sparse GEMM Accelerator for Mobile CNN Inference ZG Liu, PN Whatmough, M Mattina https://arxiv.org/pdf/2005.08098.pdf, 2020 | 102 | 2020 |
| Systolic Tensor Array: An Efficient Structured-Sparse GEMM Accelerator for Mobile CNN Inference ZG Liu, PN Whatmough, M Mattina IEEE Computer Architecture Letters 19 (1), 34-37, 2020 | 102 | 2020 |
| S2TA: Exploiting Structured Sparsity for Energy-Efficient Mobile CNN Acceleration (Best Paper Nominee) ZG Liu, PN Whatmough, Y Zhu, M Mattina 2022 IEEE International Symposium on High-Performance Computer Architecture …, 2022 | 83 | 2022 |
| Learning Low-precision Neural Networks without Straight-Through Estimator (STE) ZG Liu, M Mattina Proceedings of the Twenty-Eighth International Joint Conference on …, 2019 | 45 | 2019 |
| Efficient Residue Number System Based Winograd Convolution ZG Liu, M Mattina European Conference on Computer Vision (ECCV2020), 2020 | 21 | 2020 |
| Matrix Multiplication System, Apparatus and Method ZG Liu, PN Whatmough US Patent 11,194,549, 2021 | 20 | 2021 |
| Sparse Systolic Tensor Array for Efficient CNN Hardware Acceleration ZG Liu, PN Whatmough, M Mattina http://arxiv.org/abs/2009.02381, 2020 | 20 | 2020 |
| DIF-CRC Based Fast Hashing Z Liu, D Elliott, SR Ives, S Liu, A Chanler US Patent 8,910,031, 2014 | 18 | 2014 |
| Compressing Language Models Using Doped Kronecker Products U Thakker, PN Whatmough, ZG Liu, M Mattina, J Beu arXiv preprint arXiv:2001.08896, 2020 | 16 | 2020 |
| Fast Verification of Data Block Cycle Redundancy Checks ZG Liu, S McClure, A Tringale US Patent 8,307,271, 2012 | 13 | 2012 |
| Techniques for Global Memory Management and Request Processing J Cartmell, ZG Liu, S McClure, A Tringale US Patent 8,862,832, 2014 | 12 | 2014 |
| Doping: A technique for extreme compression of lstm models using sparse structured additive matrices U Thakker, P Whatmough, Z Liu, M Mattina, J Beu Proceedings of machine learning and systems 3, 533-549, 2021 | 10 | 2021 |
| Hardware Accelerator for IM2COL Operation ZG Liu, PN Whatmough, M Mattina US Patent 11,783,163, 2023 | 9 | 2023 |
| Apparatus and Method for Matrix Operations M Mattina, Z Liu, PN Whatmough, DH Mansell US Patent 11,379,556, 2022 | 8 | 2022 |
| Fine Analysis of the Calibration Curve for a HPGe Spectrometer in Gamma Ray Energy Measurement Z Liu, L Peng, L Wei, T Chang Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 1999 | 7 | 1999 |
| Processor for Sparse Matrix Computation Z Liu, M Mattina, PN Whatmough, JG Beu US Patent 11,392,376, 2022 | 6 | 2022 |
| Matrix Multiplication System and Method ZG Liu, M Mattina, PN Whatmough US Patent 11,120,101, 2021 | 6 | 2021 |
| Activation Compression Method for Deep Learning Acceleration ZG Liu, M Mattina US Patent App. 17/157,319, 2022 | 5 | 2022 |
| Artificial Neural Network Optical Hardware Accelerator ZG Liu, M Mattina, JF Brown III US Patent 11,526,743, 2022 | 4 | 2022 |
| Doping: A technique for efficient compression of lstm models using sparse structured additive matrices U Thakker, PN Whatmough, Z Liu, M Mattina, J Beu arXiv preprint arXiv:2102.07071, 2021 | 4 | 2021 |
Matthew MattinaVP of AI, MicrosoftEmail được xác minh tại alumni.princeton.edu