| Compression of deep convolutional neural networks for fast and low power mobile applications YD Kim, E Park, S Yoo, T Choi, L Yang, D Shin arXiv preprint arXiv:1511.06530, 2015 | 1053 | 2015 |
| A scalable processing-in-memory accelerator for parallel graph processing J Ahn, S Hong, S Yoo, O Mutlu, K Choi Proceedings of the 42nd Annual International Symposium on Computer …, 2015 | 1004 | 2015 |
| PIM-enabled instructions: A low-overhead, locality-aware processing-in-memory architecture J Ahn, S Yoo, O Mutlu, K Choi ACM SIGARCH Computer Architecture News 43 (3S), 336-348, 2015 | 613 | 2015 |
| Machine learning at facebook: Understanding inference at the edge CJ Wu, D Brooks, K Chen, D Chen, S Choudhury, M Dukhan, ... 2019 IEEE international symposium on high performance computer architecture …, 2019 | 526 | 2019 |
| Weighted-entropy-based quantization for deep neural networks E Park, J Ahn, S Yoo Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 305 | 2017 |
| Component-based design approach for multicore SoCs W Cesario, A Baghdadi, L Gauthier, D Lyonnard, G Nicolescu, Y Paviot, ... Proceedings of the 39th annual Design Automation Conference, 789-794, 2002 | 251 | 2002 |
| Automatic generation of application-specific architectures for heterogeneous multiprocessor system-on-chip D Lyonnard, S Yoo, A Baghdadi, AA Jerraya Proceedings of the 38th annual Design Automation Conference, 518-523, 2001 | 223 | 2001 |
| Deep learning inference in facebook data centers: Characterization, performance optimizations and hardware implications J Park, M Naumov, P Basu, S Deng, A Kalaiah, D Khudia, J Law, P Malani, ... arXiv preprint arXiv:1811.09886, 2018 | 204 | 2018 |
| Multiprocessor SoC platforms: a component-based design approach WO Cesário, D Lyonnard, G Nicolescu, Y Paviot, S Yoo, AA Jerraya, ... IEEE Design & Test of Computers 19 (6), 52-63, 2002 | 200 | 2002 |
| Energy-efficient neural network accelerator based on outlier-aware low-precision computation E Park, D Kim, S Yoo 2018 ACM/IEEE 45th Annual International Symposium on Computer Architecture …, 2018 | 194 | 2018 |
| Value-aware quantization for training and inference of neural networks E Park, S Yoo, P Vajda Proceedings of the European Conference on Computer Vision (ECCV), 580-595, 2018 | 185 | 2018 |
| Automatic generation and targeting of application-specific operating systems and embedded systems software L Gauthier, S Yoo, AA Jerraya IEEE transactions on computer-aided design of integrated circuits and …, 2001 | 168 | 2001 |
| Big/little deep neural network for ultra low power inference E Park, D Kim, S Kim, YD Kim, G Kim, S Yoon, S Yoo 2015 international conference on hardware/software codesign and system …, 2015 | 166 | 2015 |
| Exploiting spatial dimensions of latent in gan for real-time image editing H Kim, Y Choi, J Kim, S Yoo, Y Uh Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 164 | 2021 |
| Zena: Zero-aware neural network accelerator D Kim, J Ahn, S Yoo IEEE Design & Test 35 (1), 39-46, 2017 | 130 | 2017 |
| Dual motion estimation for frame rate up-conversion SJ Kang, S Yoo, YH Kim IEEE Transactions on Circuits and Systems for Video Technology 20 (12), 1909 …, 2010 | 128 | 2010 |
| Method and apparatus for correcting errors in memory device SJ Yoo, N Kang, CI Park, HJ Choi US Patent 8,615,702, 2013 | 123 | 2013 |
| DASCA: Dead write prediction assisted STT-RAM cache architecture J Ahn, S Yoo, K Choi 2014 IEEE 20th International Symposium on High Performance Computer …, 2014 | 122 | 2014 |
| Making DRAM stronger against row hammering M Son, H Park, J Ahn, S Yoo Proceedings of the 54th Annual Design Automation Conference 2017, 1-6, 2017 | 119 | 2017 |
| Tag2pix: Line art colorization using text tag with secat and changing loss H Kim, HY Jhoo, E Park, S Yoo Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 117 | 2019 |
