| EnerJ: Approximate data types for safe and general low-power computation A Sampson, W Dietl, E Fortuna, D Gnanapragasam, L Ceze, D Grossman ACM SIGPLAN Notices 46 (6), 164-174, 2011 | 979 | 2011 |
| Neural acceleration for general-purpose approximate programs H Esmaeilzadeh, A Sampson, L Ceze, D Burger 2012 45th annual IEEE/ACM international symposium on microarchitecture, 449-460, 2012 | 858 | 2012 |
| Architecture support for disciplined approximate programming H Esmaeilzadeh, A Sampson, L Ceze, D Burger Proceedings of the seventeenth international conference on Architectural …, 2012 | 594 | 2012 |
| Approximate storage in solid-state memories A Sampson, J Nelson, K Strauss, L Ceze ACM Transactions on Computer Systems (TOCS) 32 (3), 1-23, 2014 | 403 | 2014 |
| SNNAP: Approximate computing on programmable SoCs via neural acceleration T Moreau, M Wyse, J Nelson, A Sampson, H Esmaeilzadeh, L Ceze, ... 2015 IEEE 21st International Symposium on High Performance Computer …, 2015 | 183 | 2015 |
| Accept: A programmer-guided compiler framework for practical approximate computing A Sampson, A Baixo, B Ransford, T Moreau, J Yip, L Ceze, M Oskin University of Washington Technical Report UW-CSE-15-01 1 (2), 1-14, 2015 | 160 | 2015 |
| Reconfiguring the imaging pipeline for computer vision M Buckler, S Jayasuriya, A Sampson Proceedings of the IEEE International Conference on Computer Vision, 975-984, 2017 | 125 | 2017 |
| Expressing and verifying probabilistic assertions A Sampson, P Panchekha, T Mytkowicz, KS McKinley, D Grossman, ... Proceedings of the 35th ACM SIGPLAN Conference on Programming Language …, 2014 | 121 | 2014 |
| Machine learning method to identify independent tasks for parallel layout in web browsers GC Cascaval, ALD Sampson, B Wang US Patent 8,510,237, 2013 | 112 | 2013 |
| EVA²: Exploiting temporal redundancy in live computer vision M Buckler, P Bedoukian, S Jayasuriya, A Sampson 2018 ACM/IEEE 45th Annual International Symposium on Computer Architecture …, 2018 | 94 | 2018 |
| Monitoring and debugging the quality of results in approximate programs M Ringenburg, A Sampson, I Ackerman, L Ceze, D Grossman Proceedings of the Twentieth International Conference on Architectural …, 2015 | 88 | 2015 |
| Predictable accelerator design with time-sensitive affine types R Nigam, S Atapattu, S Thomas, Z Li, T Bauer, Y Ye, A Koti, A Sampson, ... Proceedings of the 41st ACM SIGPLAN Conference on Programming Language …, 2020 | 73 | 2020 |
| Exploiting errors for efficiency: A survey from circuits to applications P Stanley-Marbell, A Alaghi, M Carbin, E Darulova, L Dolecek, ... ACM Computing Surveys (CSUR) 53 (3), 1-39, 2020 | 71 | 2020 |
| A compiler infrastructure for accelerator generators R Nigam, S Thomas, Z Li, A Sampson Proceedings of the 26th ACM International Conference on Architectural …, 2021 | 64 | 2021 |
| Probability type inference for flexible approximate programming B Boston, A Sampson, D Grossman, L Ceze Proceedings of the 2015 ACM SIGPLAN International Conference on Object …, 2015 | 64 | 2015 |
| A taxonomy of general purpose approximate computing techniques T Moreau, J San Miguel, M Wyse, J Bornholt, A Alaghi, L Ceze, NE Jerger, ... IEEE Embedded Systems Letters 10 (1), 2-5, 2017 | 63 | 2017 |
| Neural acceleration for general-purpose approximate programs H Esmaeilzadeh, A Sampson, L Ceze, D Burger Communications of the ACM 58 (1), 105-115, 2014 | 61 | 2014 |
| Vectorization for digital signal processors via equality saturation A VanHattum, R Nigam, VT Lee, J Bornholt, A Sampson Proceedings of the 26th ACM International Conference on Architectural …, 2021 | 48 | 2021 |
| Approximate computing: Making mobile systems more efficient T Moreau, A Sampson, L Ceze IEEE Pervasive Computing 14 (2), 9-13, 2015 | 40 | 2015 |
| Hardware and software for approximate computing A Sampson | 34 | 2015 |
Luis CezeProfessor of Computer Science and Engineering, University of Washington在 cs.washington.edu 的电子邮件经过验证
