| Energy-efficient approximate multiplication for digital signal processing and classification applications S Narayanamoorthy, HA Moghaddam, Z Liu, T Park, NS Kim IEEE transactions on very large scale integration (VLSI) systems 23 (6 …, 2014 | 282 | 2014 |
| SiMul: An algorithm-driven approximate multiplier design for machine learning Z Liu, A Yazdanbakhsh, T Park, H Esmaeilzadeh, NS Kim IEEE Micro 38 (4), 50-59, 2018 | 29 | 2018 |
| G-scalar: Cost-effective generalized scalar execution architecture for power-efficient gpus Z Liu, S Gilani, M Annavaram, NS Kim 2017 IEEE International Symposium on High Performance Computer Architecture …, 2017 | 29 | 2017 |
| Cta-aware prefetching and scheduling for gpu G Koo, H Jeon, Z Liu, NS Kim, M Annavaram 2018 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2018 | 23 | 2018 |
| Ultra‐low‐power image signal processor for smart camera applications Z Liu, T Park, HS Park, NS Kim Electronics Letters 51 (22), 1778-1780, 2015 | 21 | 2015 |
| AxMemo: Hardware-compiler co-design for approximate code memoization Z Liu, A Yazdanbakhsh, DK Wang, H Esmaeilzadeh, NS Kim Proceedings of the 46th International Symposium on Computer Architecture …, 2019 | 13 | 2019 |
| Load-triggered warp approximation on GPU Z Liu, D Wong, NS Kim Proceedings of the International Symposium on Low Power Electronics and …, 2018 | 10 | 2018 |
| Graphic processor unit providing reduced storage costs for similar operands NS Kim, Z Liu US Patent 10,592,466, 2020 | 2 | 2020 |
| Energy efficient computing exploiting data similarity and computation redundancy Z Liu University of Illinois at Urbana-Champaign, 2019 | | 2019 |
| An Approximate FFT/IFFT Accelerator for Optical Coherence Tomography Z Liu | | 2013 |
| A Low-Power FFT/IFFT Accelerator for Optical Coherence Tomography Z Liu | | 2013 |
