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2020 – today
- 2024
- [j47]Jaeyoung Heo, Sungjoo Yoo:
NeRF-PIM: PIM Hardware-Software Co-Design of Neural Rendering Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(11): 3900-3912 (2024) - [c104]JongMin Lee, Yohann Cabon, Romain Brégier, Sungjoo Yoo, Jérôme Revaud:
MFOS: Model-Free & One-Shot Object Pose Estimation. AAAI 2024: 2911-2919 - [c103]Han-Byul Kim, Joo Hyung Lee, Sungjoo Yoo, Hong-Seok Kim:
MetaMix: Meta-State Precision Searcher for Mixed-Precision Activation Quantization. AAAI 2024: 13132-13141 - [c102]Hyunyoung Jung, Seonghyeon Nam, Nikolaos Sarafianos, Sungjoo Yoo, Alexander Sorkine-Hornung, Rakesh Ranjan:
Geometry Transfer for Stylizing Radiance Fields. CVPR 2024: 8565-8575 - [c101]Hanjoon Kim, Younggeun Choi, Junyoung Park, Byeongwook Bae, Hyunmin Jeong, Sang Min Lee, Jeseung Yeon, Minho Kim, Changjae Park, Boncheol Gu, Changman Lee, Jaeick Bae, SungGyeong Bae, Yojung Cha, Wooyoung Choe, Jonguk Choi, Juho Ha, Hyuck Han, Namoh Hwang, Seokha Hwang, Kiseok Jang, Haechan Je, Hojin Jeon, Jaewoo Jeon, Hyunjun Jeong, Yeonsu Jung, Dongok Kang, Hyewon Kim, Minjae Kim, Muhwan Kim, Sewon Kim, Suhyung Kim, Won Kim, Yong Kim, Youngsik Kim, Younki Ku, Jeong Ki Lee, Juyun Lee, Kyungjae Lee, Seokho Lee, Minwoo Noh, Hyuntaek Oh, Gyunghee Park, Sanguk Park, Jimin Seo, Jungyoung Seong, June Paik, Nuno P. Lopes, Sungjoo Yoo:
TCP: A Tensor Contraction Processor for AI Workloads Industrial Product. ISCA 2024: 890-902 - [i18]Hyunyoung Jung, Seonghyeon Nam, Nikolaos Sarafianos, Sungjoo Yoo, Alexander Sorkine-Hornung, Rakesh Ranjan:
Geometry Transfer for Stylizing Radiance Fields. CoRR abs/2402.00863 (2024) - [i17]Yongdeok Kim, Jaehyung Ahn, Myeongwoo Kim, Changin Choi, Heejae Kim, Narankhuu Tuvshinjargal, Seungwon Lee, Yanzi Zhang, Yuan Pei, Xiongzhan Linghu, Jingkun Ma, Lin Chen, Yuehua Dai, Sungjoo Yoo:
Breaking MLPerf Training: A Case Study on Optimizing BERT. CoRR abs/2402.02447 (2024) - [i16]Euntae Choi, Vincent Carpentier, Seunghun Shin, Sungjoo Yoo:
Baking Relightable NeRF for Real-time Direct/Indirect Illumination Rendering. CoRR abs/2409.10327 (2024) - [i15]Euntae Choi, Sungjoo Yoo:
Phys3DGS: Physically-based 3D Gaussian Splatting for Inverse Rendering. CoRR abs/2409.10335 (2024) - 2023
- [c100]Juncheol Shin, Junhyuk So, Sein Park, Seungyeop Kang, Sungjoo Yoo, Eunhyeok Park:
NIPQ: Noise proxy-based Integrated Pseudo-Quantization. CVPR 2023: 3852-3861 - [c99]Hyunyoung Jung, Zhuo Hui, Lei Luo, Haitao Yang, Feng Liu, Sungjoo Yoo, Rakesh Ranjan, Denis Demandolx:
AnyFlow: Arbitrary Scale Optical Flow with Implicit Neural Representation. CVPR 2023: 5455-5465 - [c98]JongMin Lee, Eunhyeok Park, Sungjoo Yoo:
Multi-scale Local Implicit Keypoint Descriptor for Keypoint Matching. CVPR Workshops 2023: 6145-6154 - [c97]Euntae Choi, Youshin Lim, Byeong-Yeol Kim, Hyung Yong Kim, Hanbin Lee, Yunkyu Lim, Seung Woo Yu, Sungjoo Yoo:
Masked Token Similarity Transfer for Compressing Transformer-Based ASR Models. ICASSP 2023: 1-5 - [i14]Hyunyoung Jung, Zhuo Hui, Lei Luo, Haitao Yang, Feng Liu, Sungjoo Yoo, Rakesh Ranjan, Denis Demandolx:
AnyFlow: Arbitrary Scale Optical Flow with Implicit Neural Representation. CoRR abs/2303.16493 (2023) - [i13]Junwhan Ahn, Sungpack Hong, Sungjoo Yoo, Onur Mutlu, Kiyoung Choi:
Retrospective: A Scalable Processing-in-Memory Accelerator for Parallel Graph Processing. CoRR abs/2306.15577 (2023) - [i12]JongMin Lee, Yohann Cabon, Romain Brégier, Sungjoo Yoo, Jérôme Revaud:
MFOS: Model-Free & One-Shot Object Pose Estimation. CoRR abs/2310.01897 (2023) - [i11]Han-Byul Kim, Joo Hyung Lee, Sungjoo Yoo, Hong-Seok Kim:
MetaMix: Meta-state Precision Searcher for Mixed-precision Activation Quantization. CoRR abs/2311.06798 (2023) - 2022
- [j46]Vikas Chandra, Yiran Chen, Sungjoo Yoo:
Introduction to the Special Section on Energy-Efficient AI Chips. ACM Trans. Design Autom. Electr. Syst. 27(5): 41:1-41:2 (2022) - [c96]Han-Byul Kim, Eunhyeok Park, Sungjoo Yoo:
BASQ: Branch-wise Activation-clipping Search Quantization for Sub-4-bit Neural Networks. ECCV (12) 2022: 17-33 - [c95]Seungyeop Kang, Sungjoo Yoo:
TernaryNeRF: Quantizing Voxel Grid-based NeRF Models. RSP 2022: 8-14 - [i10]Namwoo Lee, Hyunsu Kim, Gayoung Lee, Sungjoo Yoo, Yunjey Choi:
Memory Efficient Patch-based Training for INR-based GANs. CoRR abs/2207.01395 (2022) - 2021
- [j45]Taemin Lee, Sungjoo Yoo:
Augmenting Few-Shot Learning With Supervised Contrastive Learning. IEEE Access 9: 61466-61474 (2021) - [c94]Hyunsu Kim, Yunjey Choi, Junho Kim, Sungjoo Yoo, Youngjung Uh:
Exploiting Spatial Dimensions of Latent in GAN for Real-Time Image Editing. CVPR 2021: 852-861 - [c93]Hyunyoung Jung, Eunhyeok Park, Sungjoo Yoo:
Fine-grained Semantics-aware Representation Enhancement for Self-supervised Monocular Depth Estimation. ICCV 2021: 12622-12632 - [c92]Soobeom Kim, Seunghwan Cho, Eunhyeok Park, Sungjoo Yoo:
FPGA Prototyping of Systolic Array-based Accelerator for Low-Precision Inference of Deep Neural Networks. RSP 2021: 1-7 - [i9]Hyunsu Kim, Yunjey Choi, Junho Kim, Sungjoo Yoo, Youngjung Uh:
StyleMapGAN: Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editing. CoRR abs/2104.14754 (2021) - [i8]Hyunyoung Jung, Eunhyeok Park, Sungjoo Yoo:
Fine-grained Semantics-aware Representation Enhancement for Self-supervised Monocular Depth Estimation. CoRR abs/2108.08829 (2021) - [i7]Sung Min Cho, Hongjun Lim, Keunchan Park, Sungjoo Yoo, Eunhyeok Park:
On the Overlooked Significance of Underutilized Contextual Features in Recent News Recommendation Models. CoRR abs/2112.14370 (2021) - 2020
- [j44]Seunghwan Cho, Haerang Choi, Eunhyeok Park, Hyunsung Shin, Sungjoo Yoo:
McDRAM v2: In-Dynamic Random Access Memory Systolic Array Accelerator to Address the Large Model Problem in Deep Neural Networks on the Edge. IEEE Access 8: 135223-135243 (2020) - [j43]Haerang Choi, Do-sun Hong, Jaesung Lee, Sungjoo Yoo:
Reducing DRAM refresh power consumption by runtime profiling of retention time and dual-row activation. Microprocess. Microsystems 72 (2020) - [j42]Won-Kyung Kang, Sungjoo Yoo:
$Q$ -Value Prediction for Reinforcement Learning Assisted Garbage Collection to Reduce Long Tail Latency in SSD. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(10): 2240-2253 (2020) - [c91]Haerang Choi, Yosep Lee, Jae-Joon Kim, Sungjoo Yoo:
A Novel In-DRAM Accelerator Architecture for Binary Neural Network. COOL CHIPS 2020: 1-3 - [c90]Eunhyeok Park, Sungjoo Yoo:
PROFIT: A Novel Training Method for sub-4-bit MobileNet Models. ECCV (6) 2020: 430-446 - [c89]Sung Min Cho, Eunhyeok Park, Sungjoo Yoo:
MEANTIME: Mixture of Attention Mechanisms with Multi-temporal Embeddings for Sequential Recommendation. RecSys 2020: 515-520 - [i6]Eunhyeok Park, Sungjoo Yoo:
PROFIT: A Novel Training Method for sub-4-bit MobileNet Models. CoRR abs/2008.04693 (2020) - [i5]Sung Min Cho, Eunhyeok Park, Sungjoo Yoo:
MEANTIME: Mixture of Attention Mechanisms with Multi-temporal Embeddings for Sequential Recommendation. CoRR abs/2008.08273 (2020)
2010 – 2019
- 2019
- [j41]Jongeun Koo, Eunhyeok Park, Dongyoung Kim, Junki Park, Sungju Ryu, Sungjoo Yoo, Jae-Joon Kim:
Low-overhead, one-cycle timing-error detection and correction technique for flip-flop based pipelines. IEICE Electron. Express 16(11): 20190180 (2019) - [c88]Carole-Jean Wu, David Brooks, Kevin Chen, Douglas Chen, Sy Choudhury, Marat Dukhan, Kim M. Hazelwood, Eldad Isaac, Yangqing Jia, Bill Jia, Tommer Leyvand, Hao Lu, Yang Lu, Lin Qiao, Brandon Reagen, Joe Spisak, Fei Sun, Andrew Tulloch, Peter Vajda, Xiaodong Wang, Yanghan Wang, Bram Wasti, Yiming Wu, Ran Xian, Sungjoo Yoo, Peizhao Zhang:
Machine Learning at Facebook: Understanding Inference at the Edge. HPCA 2019: 331-344 - [c87]Hyunsu Kim, Ho Young Jhoo, Eunhyeok Park, Sungjoo Yoo:
Tag2Pix: Line Art Colorization Using Text Tag With SECat and Changing Loss. ICCV 2019: 9055-9064 - [c86]Jisuk Kim, Jinyub Lee, Sungjoo Yoo:
Machine Learning-Based Automatic Generation of eFuse Configuration in NAND Flash Chip. ITC 2019: 1-9 - [i4]Hyunsu Kim, Ho Young Jhoo, Eunhyeok Park, Sungjoo Yoo:
Tag2Pix: Line Art Colorization Using Text Tag With SECat and Changing Loss. CoRR abs/1908.05840 (2019) - 2018
- [j40]Dongyoung Kim, Junwhan Ahn, Sungjoo Yoo:
ZeNA: Zero-Aware Neural Network Accelerator. IEEE Des. Test 35(1): 39-46 (2018) - [j39]Mungyu Son, Junwhan Ahn, Sungjoo Yoo:
Nonvolatile Write Buffer-Based Journaling Bypass for Storage Write Reduction in Mobile Devices. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(9): 1747-1759 (2018) - [j38]Hyunsung Shin, Dongyoung Kim, Eunhyeok Park, Sungho Park, Yongsik Park, Sungjoo Yoo:
McDRAM: Low Latency and Energy-Efficient Matrix Computations in DRAM. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(11): 2613-2622 (2018) - [c85]Won-Kyung Kang, Sungjoo Yoo:
Dynamic management of key states for reinforcement learning-assisted garbage collection to reduce long tail latency in SSD. DAC 2018: 8:1-8:6 - [c84]Duseok Kang, Donghyun Kang, Jintaek Kang, Sungjoo Yoo, Soonhoi Ha:
Joint optimization of speed, accuracy, and energy for embedded image recognition systems. DATE 2018: 715-720 - [c83]Eunhyeok Park, Sungjoo Yoo, Peter Vajda:
Value-Aware Quantization for Training and Inference of Neural Networks. ECCV (4) 2018: 608-624 - [c82]Eunhyeok Park, Dongyoung Kim, Sungjoo Yoo:
Energy-Efficient Neural Network Accelerator Based on Outlier-Aware Low-Precision Computation. ISCA 2018: 688-698 - [c81]Dongyoung Kim, Soobeom Kim, Sungjoo Yoo:
FPGA Prototyping of Low-Precision Zero-Skipping Accelerator for Neural Networks. RSP 2018: 104-110 - [i3]Eunhyeok Park, Sungjoo Yoo, Peter Vajda:
Value-aware Quantization for Training and Inference of Neural Networks. CoRR abs/1804.07802 (2018) - [i2]Jongsoo Park, Maxim Naumov, Protonu Basu, Summer Deng, Aravind Kalaiah, Daya Shanker Khudia, James Law, Parth Malani, Andrey Malevich, Nadathur Satish, Juan Miguel Pino, Martin Schatz, Alexander Sidorov, Viswanath Sivakumar, Andrew Tulloch, Xiaodong Wang, Yiming Wu, Hector Yuen, Utku Diril, Dmytro Dzhulgakov, Kim M. Hazelwood, Bill Jia, Yangqing Jia, Lin Qiao, Vijay Rao, Nadav Rotem, Sungjoo Yoo, Mikhail Smelyanskiy:
Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications. CoRR abs/1811.09886 (2018) - [i1]Eunhyeok Park, Dongyoung Kim, Sungjoo Yoo, Peter Vajda:
Precision Highway for Ultra Low-Precision Quantization. CoRR abs/1812.09818 (2018) - 2017
- [j37]Jinho Lee, Heesu Kim, Sungjoo Yoo, Kiyoung Choi, H. Peter Hofstee, Gi-Joon Nam, Mark Nutter, Damir A. Jamsek:
ExtraV: Boosting Graph Processing Near Storage with a Coherent Accelerator. Proc. VLDB Endow. 10(12): 1706-1717 (2017) - [j36]Won-Kyung Kang, Dongkun Shin, Sungjoo Yoo:
Reinforcement Learning-Assisted Garbage Collection to Mitigate Long-Tail Latency in SSD. ACM Trans. Embed. Comput. Syst. 16(5s): 134:1-134:20 (2017) - [c80]Eunhyeok Park, Junwhan Ahn, Sungjoo Yoo:
Weighted-Entropy-Based Quantization for Deep Neural Networks. CVPR 2017: 7197-7205 - [c79]Mungyu Son, Hyunsun Park, Junwhan Ahn, Sungjoo Yoo:
Making DRAM Stronger Against Row Hammering. DAC 2017: 55:1-55:6 - [c78]Dongyoung Kim, Junwhan Ahn, Sungjoo Yoo:
A novel zero weight/activation-aware hardware architecture of convolutional neural network. DATE 2017: 1462-1467 - [c77]Taemin Lee, Sungjoo Yoo:
An FPGA-based platform for non volatile memory emulation. NVMSA 2017: 1-4 - [e2]Sungjoo Yoo, Fabiano Hessel, Frédéric Rousseau, Kenneth B. Kent, Kyoungwoo Lee:
International Symposium on Rapid System Prototyping, RSP 2017, Shortening the Path from Specification to Prototype, October 19-20, 2017, Seoul, South Korea. ACM 2017, ISBN 978-1-4503-5418-9 [contents] - 2016
- [j35]Junwhan Ahn, Sungjoo Yoo, Kiyoung Choi:
AIM: Energy-Efficient Aggregation Inside the Memory Hierarchy. ACM Trans. Archit. Code Optim. 13(4): 34:1-34:24 (2016) - [j34]Junwhan Ahn, Sungjoo Yoo, Kiyoung Choi:
Prediction Hybrid Cache: An Energy-Efficient STT-RAM Cache Architecture. IEEE Trans. Computers 65(3): 940-951 (2016) - [j33]Zhenyu Sun, Xiuyuan Bi, Wenqing Wu, Sungjoo Yoo, Hai (Helen) Li:
Array Organization and Data Management Exploration in Racetrack Memory. IEEE Trans. Computers 65(4): 1041-1054 (2016) - [j32]Cheul-Hee Hahm, Sunggu Lee, Taeyoung Lee, Sungjoo Yoo:
Memory Access Scheduling for a Smart TV. IEEE Trans. Circuits Syst. Video Technol. 26(2): 399-411 (2016) - [j31]Youngsik Kim, Sungjoo Yoo, Sunggu Lee:
Improving Write Performance by Controlling Target Resistance Distributions in MLC PRAM. ACM Trans. Design Autom. Electr. Syst. 21(2): 23:1-23:27 (2016) - [j30]Sungkwang Lee, Taemin Lee, Hyunsun Park, Junwhan Ahn, Sungjoo Yoo, Youjip Won, Sunggu Lee:
Differential Write-Conscious Software Design on Phase-Change Memory: An SQLite Case Study. ACM Trans. Design Autom. Electr. Syst. 21(3): 47:1-47:25 (2016) - [j29]Junwhan Ahn, Sungjoo Yoo, Kiyoung Choi:
Low-Power Hybrid Memory Cubes With Link Power Management and Two-Level Prefetching. IEEE Trans. Very Large Scale Integr. Syst. 24(2): 453-464 (2016) - [c76]Jongeun Koo, Eunwoo Song, Eunhyeok Park, Dongyoung Kim, Junki Park, Sungju Ryu, Sungjoo Yoo, Jae-Joon Kim:
Area-efficient one-cycle correction scheme for timing errors in flip-flop based pipelines. A-SSCC 2016: 137-140 - [c75]Hyunsun Park, Dongyoung Kim, Junwhan Ahn, Sungjoo Yoo:
Zero and data reuse-aware fast convolution for deep neural networks on GPU. CODES+ISSS 2016: 33:1-33:10 - [c74]Taemin Lee, Sungjoo Yoo:
A dual-retention time architecture towards secure and high performance STT-RAM main memory subsystem. ISOCC 2016: 313-314 - [c73]Taemin Lee, Sungjoo Yoo:
Selective refresh to avoid read disturb errors in STT-RAM main memory. ISOCC 2016: 315-316 - [c72]Yong-Deok Kim, Eunhyeok Park, Sungjoo Yoo, Taelim Choi, Lu Yang, Dongjun Shin:
Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications. ICLR (Poster) 2016 - 2015
- [j28]Junyoung Park, Sunggu Lee, Sungjoo Yoo:
Time slot assignment for convergecast in wireless sensor networks. J. Parallel Distributed Comput. 83: 70-82 (2015) - [j27]Chanha Kim, Chanik Park, Sungjoo Yoo, Sunggu Lee:
Extending lifetime of flash memory using strong error correction coding. IEEE Trans. Consumer Electron. 61(2): 206-214 (2015) - [j26]Dongki Kim, Sungjoo Yoo, Sunggu Lee:
Hybrid Main Memory for High Bandwidth Multi-Core System. IEEE Trans. Multi Scale Comput. Syst. 1(3): 138-149 (2015) - [j25]Joosung Yun, Sunggu Lee, Sungjoo Yoo:
Dynamic Wear Leveling for Phase-Change Memories With Endurance Variations. IEEE Trans. Very Large Scale Integr. Syst. 23(9): 1604-1615 (2015) - [c71]Mungyu Son, Junwhan Ahn, Sungjoo Yoo:
A tiny-capacitor-backed non-volatile buffer to reduce storage writes in smartphones. CODES+ISSS 2015: 21-29 - [c70]Eunhyeok Park, Dongyoung Kim, Soobeom Kim, Yong-Deok Kim, Gunhee Kim, Sungroh Yoon, Sungjoo Yoo:
Big/little deep neural network for ultra low power inference. CODES+ISSS 2015: 124-132 - [c69]Mungyu Son, Sungkwang Lee, Kyungho Kim, Sungjoo Yoo, Sunggu Lee:
A small non-volatile write buffer to reduce storage writes in smartphones. DATE 2015: 713-718 - [c68]Eunhyeok Park, Junwhan Ahn, Sungpack Hong, Sungjoo Yoo, Sunggu Lee:
Memory fast-forward: a low cost special function unit to enhance energy efficiency in GPU for big data processing. DATE 2015: 1341-1346 - [c67]Junwhan Ahn, Sungpack Hong, Sungjoo Yoo, Onur Mutlu, Kiyoung Choi:
A scalable processing-in-memory accelerator for parallel graph processing. ISCA 2015: 105-117 - [c66]Junwhan Ahn, Sungjoo Yoo, Onur Mutlu, Kiyoung Choi:
PIM-enabled instructions: a low-overhead, locality-aware processing-in-memory architecture. ISCA 2015: 336-348 - [c65]Hyunsun Park, Junwhan Ahn, Eunhyeok Park, Sungjoo Yoo:
Locality-aware vertex scheduling for GPU-based graph computation. VLSI-SoC 2015: 195-200 - [c64]Hyunsun Park, Chanha Kim, Sungjoo Yoo, Chanik Park:
Filtering dirty data in DRAM to reduce PRAM writes. VLSI-SoC 2015: 319-324 - 2014
- [j24]Sang-Hoon Park, Dong-gun Kim, Kwanhu Bang, Hyuk-Jun Lee, Sungjoo Yoo, Eui-Young Chung:
An Adaptive Idle-Time Exploiting Method for Low Latency NAND Flash-Based Storage Devices. IEEE Trans. Computers 63(5): 1085-1096 (2014) - [j23]Byeongchan Jeon, Gyuro Park, Junseok Lee, Sungjoo Yoo, Hong Jeong:
A Memory-Efficient Architecture of Full HD Around View Monitor Systems. IEEE Trans. Intell. Transp. Syst. 15(6): 2683-2695 (2014) - [c63]Junwhan Ahn, Sungjoo Yoo, Kiyoung Choi:
Dynamic Power Management of Off-Chip Links for Hybrid Memory Cubes. DAC 2014: 139:1-139:6 - [c62]Hayoung Kim, Dongyoung Kim, Jae-Joon Kim, Sungjoo Yoo, Sunggu Lee:
Coarse-grained Bubble Razor to exploit the potential of two-phase transparent latch designs. DATE 2014: 1-6 - [c61]Eunhyuk Park, Sungjoo Yoo, Sunggu Lee, Hai Helen Li:
Accelerating graph computation with racetrack memory and pointer-assisted graph representation. DATE 2014: 1-4 - [c60]Junwhan Ahn, Sungjoo Yoo, Kiyoung Choi:
DASCA: Dead Write Prediction Assisted STT-RAM Cache Architecture. HPCA 2014: 25-36 - [c59]Taemin Lee, Dongki Kim, Hyunsun Park, Sungjoo Yoo, Sunggu Lee:
FPGA-based prototyping systems for emerging memory technologies. RSP 2014: 115-120 - 2013
- [j22]Dongki Kim, Sungjoo Yoo, Sunggu Lee:
A network congestion-aware memory subsystem for manycore. ACM Trans. Embed. Comput. Syst. 12(4): 110:1-110:18 (2013) - [j21]Young-Geun Choi, Sungjoo Yoo, Sunggu Lee, Jung Ho Ahn, Kangmin Lee:
MAEPER: Matching Access and Error Patterns With Error-Free Resource for Low Vcc L1 Cache. IEEE Trans. Very Large Scale Integr. Syst. 21(6): 1013-1026 (2013) - [c58]Junwhan Ahn, Sungjoo Yoo, Kiyoung Choi:
Selectively protecting error-correcting code for area-efficient and reliable STT-RAM caches. ASP-DAC 2013: 285-290 - [c57]Suk-Ju Kang, Sung In Cho, Sungjoo Yoo, Young Hwan Kim:
Multi-histogram based scene change detection for frame rate up-conversion. ICCE 2013: 332-333 - [c56]Junwhan Ahn, Sungjoo Yoo, Kiyoung Choi:
Write intensity prediction for energy-efficient non-volatile caches. ISLPED 2013: 223-228 - 2012
- [j20]Ungjin Jang, Sunggu Lee, Sungjoo Yoo:
Optimal wake-up scheduling of data gathering trees for wireless sensor networks. J. Parallel Distributed Comput. 72(4): 536-546 (2012) - [j19]Jun-hee Yoo, Sungjoo Yoo, Kiyoung Choi:
Active Memory Processor for Network-on-Chip-Based Architecture. IEEE Trans. Computers 61(5): 622-635 (2012) - [j18]Hyunsun Park, Sungjoo Yoo, Sunggu Lee:
A Multistep Tag Comparison Method for a Low-Power L2 Cache. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 31(4): 559-572 (2012) - [j17]Suknam Kwon, Sungjoo Yoo, Sunggu Lee, Jinpyo Park:
Optimizing Video Application Design for Phase-Change RAM-Based Main Memory. IEEE Trans. Very Large Scale Integr. Syst. 20(11): 2011-2019 (2012) - [c55]Dongki Kim, Sungkwang Lee, Jaewoong Chung, Daehyun Kim, Dong Hyuk Woo, Sungjoo Yoo, Sunggu Lee:
Hybrid DRAM/PRAM-based main memory for single-chip CPU/GPU. DAC 2012: 888-896 - [c54]Youngsik Kim, Sungjoo Yoo, Sunggu Lee:
Write performance improvement by hiding R drift latency in phase-change RAM. DAC 2012: 897-906 - [c53]Suknam Kwon, Dongki Kim, Youngsik Kim, Sungjoo Yoo, Sunggu Lee:
A case study on the application of real phase-change RAM to main memory subsystem. DATE 2012: 264-267 - [c52]Joosung Yun, Sunggu Lee, Sungjoo Yoo:
Bloom filter-based dynamic wear leveling for phase-change RAM. DATE 2012: 1513-1518 - 2011
- [j16]Jungsoo Kim, Sungjoo Yoo, Chong-Min Kyung:
Program Phase-Aware Dynamic Voltage Scaling Under Variable Computational Workload and Memory Stall Environment. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 30(1): 110-123 (2011) - [j15]Kyungsu Kang, Jungsoo Kim, Sungjoo Yoo, Chong-Min Kyung:
Runtime Power Management of 3-D Multi-Core Architectures Under Peak Power and Temperature Constraints. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 30(6): 905-918 (2011) - [c51]Hyunsun Park, Sungjoo Yoo, Sunggu Lee:
Power management of hybrid DRAM/PRAM-based main memory. DAC 2011: 59-64 - [c50]Gwangsun Kim, John Kim, Sungjoo Yoo:
FlexiBuffer: reducing leakage power in on-chip network routers. DAC 2011: 936-941 - [c49]Young-Geun Choi, Sungjoo Yoo, Sunggu Lee, Jung Ho Ahn:
Matching cache access behavior and bit error pattern for high performance low Vcc L1 cache. DAC 2011: 978-983 - [c48]Hyunsun Park, Sungjoo Yoo, Sunggu Lee:
A novel tag access scheme for low power L2 cache. DATE 2011: 655-660 - [c47]Dongki Kim, Sungjoo Yoo, Sunggu Lee, Jung Ho Ahn, Hyunuk Jung:
A quantitative analysis of performance benefits of 3D die stacking on mobile and embedded SoC. DATE 2011: 1333-1338 - [c46]Kyungsu Kang, Jongpil Jung, Sungjoo Yoo, Chong-Min Kyung:
Maximizing throughput of temperature-constrained multi-core systems with 3D-stacked cache memory. ISQED 2011: 577-582 - 2010
- [j14]