Sungjoo Yoo
Sungjoo Yoo
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Cited by
Cited by
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Zena: Zero-aware neural network accelerator
D Kim, J Ahn, S Yoo
IEEE Design & Test 35 (1), 39-46, 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
Method and apparatus for correcting errors in memory device
SJ Yoo, N Kang, CI Park, HJ Choi
US Patent 8,615,702, 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
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
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
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