| Brook for GPUs: stream computing on graphics hardware I Buck, T Foley, D Horn, J Sugerman, K Fatahalian, M Houston, ... ACM transactions on graphics (TOG) 23 (3), 777-786, 2004 | 1891 | 2004 |
| Sequoia: Programming the memory hierarchy K Fatahalian, DR Horn, TJ Knight, L Leem, M Houston, JY Park, M Erez, ... Proceedings of the 2006 ACM/IEEE Conference on Supercomputing, 83-es, 2006 | 685 | 2006 |
| Understanding the efficiency of GPU algorithms for matrix-matrix multiplication K Fatahalian, J Sugerman, P Hanrahan Proceedings of the ACM SIGGRAPH/EUROGRAPHICS conference on Graphics hardware …, 2004 | 493 | 2004 |
| Selective Transmission of Image Data Based on Device Attributes KB Akeley, YR Ng, KW Waters, K Fatahalian, TJ Knight, YA Romanenko, ... US Patent App. 13/523,776, 2012 | 284 | 2012 |
| Storage and transmission of pictures including multiple frames KB Akeley, YR Ng, KW Waters, K Fatahalian, TJ Knight, YA Romanenko US Patent 8,908,058, 2014 | 274 | 2014 |
| Learning to optimize halide with tree search and random programs A Adams, K Ma, L Anderson, R Baghdadi, TM Li, M Gharbi, B Steiner, ... ACM Transactions on Graphics (TOG) 38 (4), 1-12, 2019 | 266 | 2019 |
| Automatically scheduling halide image processing pipelines RT Mullapudi, A Adams, D Sharlet, J Ragan-Kelley, K Fatahalian ACM Transactions on Graphics (TOG) 35 (4), 1-11, 2016 | 259 | 2016 |
| Precomputing interactive dynamic deformable scenes DL James, K Fatahalian ACM Transactions on Graphics (TOG) 22 (3), 879-887, 2003 | 233 | 2003 |
| A closer look at GPUs K Fatahalian, M Houston Communications of the ACM 51 (10), 50-57, 2008 | 221 | 2008 |
| Hydranets: Specialized dynamic architectures for efficient inference RT Mullapudi, WR Mark, N Shazeer, K Fatahalian Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 157 | 2018 |
| System, method, and computer program product for performing object-space shading A Patney, EB Enderton, EB Lum, M Salvi, CR Wyman, Y Zhang, Y He, ... US Patent 9,747,718, 2017 | 136 | 2017 |
| Adaptive shading in a graphics processing pipeline Y He, EB Lum, E Enderton, HP Moreton, K Fatahalian US Patent 9,552,667, 2017 | 135 | 2017 |
| Fast and three-rious: Speeding up weak supervision with triplet methods D Fu, M Chen, F Sala, S Hooper, K Fatahalian, C Ré International conference on machine learning, 3280-3291, 2020 | 129 | 2020 |
| System, method, and computer program product for shading using a dynamic object-space grid A Patney, EB Enderton, EB Lum, M Salvi, CR Wyman, Y Zhang, Y He, ... US Patent 9,754,407, 2017 | 129 | 2017 |
| Adaptive shading in a graphics processing pipeline Y He, EB Lum, E Enderton, HP Moreton, K Fatahalian US Patent 10,733,794, 2020 | 124 | 2020 |
| Compilation for explicitly managed memory hierarchies TJ Knight, JY Park, M Ren, M Houston, M Erez, K Fatahalian, A Aiken, ... Proceedings of the 12th ACM SIGPLAN symposium on Principles and practice of …, 2007 | 120 | 2007 |
| Online model distillation for efficient video inference RT Mullapudi, S Chen, K Zhang, D Ramanan, K Fatahalian Proceedings of the IEEE/CVF International conference on computer vision …, 2019 | 119 | 2019 |
| Near-exhaustive precomputation of secondary cloth effects D Kim, W Koh, R Narain, K Fatahalian, A Treuille, JF O'Brien ACM Transactions on Graphics (TOG) 32 (4), 1-8, 2013 | 111 | 2013 |
| Efficient BVH construction via approximate agglomerative clustering Y Gu, Y He, K Fatahalian, G Blelloch Proceedings of the 5th High-Performance Graphics Conference, 81-88, 2013 | 107 | 2013 |
| Data-parallel rasterization of micropolygons with defocus and motion blur K Fatahalian, E Luong, S Boulos, K Akeley, WR Mark, P Hanrahan Proceedings of the Conference on High Performance Graphics 2009, 59-68, 2009 | 104 | 2009 |
