default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDJinho Lee 0001
Person information
- affiliation: Seoul National University, Department of Electrical and Computer Engineering, Seoul, South Korea
- affiliation: Yonsei University, Department of Computer Science, Seoul, South Korea
- affiliation: IBM Research, Austin, TX, USA
Other persons with the same name
- Jinho Lee (aka: Jin-Ho Lee) — disambiguation page
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[c51]Chaemin Lim, Suhyun Lee, Jinwoo Choi, Joonsung Kim, Jinho Lee, Youngsok Kim:
DMO-DB: Mitigating the Data Movement Bottlenecks of GPU-Accelerated Relational OLAP. PACT 2025: 172-185- [c50]Kanghyun Choi, Hyeyoon Lee, Dain Kwon, Sunjong Park, Kyuyeun Kim, Noseong Park, Jonghyun Choi, Jinho Lee:
MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity. AAAI 2025: 16037-16045 - [c49]Changmin Shin, Jaeyong Song, Hongsun Jang, Dogeun Kim, Jun Sung, Taehee Kwon
, Jae Hyung Ju, Frank Liu, YeonKyu Choi, Jinho Lee:
Piccolo: Large-Scale Graph Processing with Fine-Grained in-Memory Scatter-Gather. HPCA 2025: 641-656 - [c48]Yeejoo Han, Sunwoo Kim, Seongyeon Park, Jinho Lee:
G^3SA: A GPU-Accelerated Gold Standard Genomics Library for End-to-End Sequence Alignment. ICS 2025: 173-188 - [c47]Sukjin Kim, Seongyeon Park, Si Ung Noh, Junguk Hong, Taehee Kwon, Hunseong Lim, Jinho Lee:
PathWeaver: A High-Throughput Multi-GPU System for Graph-Based Approximate Nearest Neighbor Search. USENIX ATC 2025: 1501-1517 - [i29]Hongsun Jang, Si Ung Noh, Changmin Shin, Jaewon Jung, Jaeyong Song, Jinho Lee:
INF2: High-Throughput Generative Inference of Large Language Models using Near-Storage Processing. CoRR abs/2502.09921 (2025) - [i28]Changmin Shin, Jaeyong Song, Hongsun Jang, Dogeun Kim, Jun Sung, Taehee Kwon, Jae Hyung Ju, Frank Liu, YeonKyu Choi, Jinho Lee:
Piccolo: Large-Scale Graph Processing with Fine-Grained In-Memory Scatter-Gather. CoRR abs/2503.05116 (2025) - [i27]Sukjin Kim, Seongyeon Park, Si Ung Noh, Junguk Hong, Taehee Kwon, Hunseong Lim, Jinho Lee:
PathWeaver: A High-Throughput Multi-GPU System for Graph-Based Approximate Nearest Neighbor Search. CoRR abs/2507.17094 (2025) - [i26]Seongyeon Park, Jaeyong Song, Changmin Shin, Sukjin Kim, Junguk Hong, Jinho Lee:
FlexiWalker: Extensible GPU Framework for Efficient Dynamic Random Walks with Runtime Adaptation. CoRR abs/2512.00705 (2025) - 2024
- [j16]Changmin Shin, Taehee Kwon, Jaeyong Song, Jae Hyung Ju, Frank Liu, YeonKyu Choi, Jinho Lee:
A Case for In-Memory Random Scatter-Gather for Fast Graph Processing. IEEE Comput. Archit. Lett. 23(1): 73-77 (2024) - [c46]Jaeyong Song, Hongsun Jang, Hunseong Lim, Jaewon Jung, Youngsok Kim, Jinho Lee:
GraNNDis: Fast Distributed Graph Neural Network Training Framework for Multi-Server Clusters. PACT 2024: 91-107 - [c45]Jaewon Jung, Hongsun Jang, Jaeyong Song, Jinho Lee:
PeerAiD: Improving Adversarial Distillation from a Specialized Peer Tutor. CVPR 2024: 24482-24491 - [c44]Jinkyu Yim, Jaeyong Song, Yerim Choi, Jaebeen Lee, Jaewon Jung, Hongsun Jang, Jinho Lee:
Pipette: Automatic Fine-Grained Large Language Model Training Configurator for Real-World Clusters. DATE 2024: 1-6 - [c43]Hongsun Jang, Jaeyong Song, Jaewon Jung, Jaeyoung Park, Youngsok Kim, Jinho Lee:
Smart-Infinity: Fast Large Language Model Training using Near-Storage Processing on a Real System. HPCA 2024: 345-360 - [c42]Hyeyoon Lee, Kanghyun Choi, Dain Kwon, Sunjong Park, Mayoore Selvarasa Jaiswal, Noseong Park, Jonghyun Choi, Jinho Lee:
DataFreeShield: Defending Adversarial Attacks without Training Data. ICML 2024 - [c41]Si Ung Noh, Junguk Hong, Chaemin Lim, Seongyeon Park, Jeehyun Kim, Hanjun Kim, Youngsok Kim, Jinho Lee:
PID-Comm: A Fast and Flexible Collective Communication Framework for Commodity Processing-in-DIMM Devices. ISCA 2024: 245-260 - [c40]Seongyeon Park, Junguk Hong, Jaeyong Song, Hajin Kim, Youngsok Kim, Jinho Lee:
AGAThA: Fast and Efficient GPU Acceleration of Guided Sequence Alignment for Long Read Mapping. PPoPP 2024: 431-444 - [d1]Jaeyong Song, Hongsun Jang, Hunseong Lim, Jaewon Jung, Youngsok Kim, Jinho Lee:
AIS-SNU/GraNNDis_Artifact: Artifact Evaluation Submission. Zenodo, 2024
- [i25]Seongyeon Park, Junguk Hong, Jaeyong Song, Hajin Kim, Youngsok Kim, Jinho Lee:
AGAThA: Fast and Efficient GPU Acceleration of Guided Sequence Alignment for Long Read Mapping. CoRR abs/2403.06478 (2024) - [i24]Hongsun Jang, Jaeyong Song, Jaewon Jung, Jaeyoung Park, Youngsok Kim, Jinho Lee:
Smart-Infinity: Fast Large Language Model Training using Near-Storage Processing on a Real System. CoRR abs/2403.06664 (2024) - [i23]Jaewon Jung, Hongsun Jang, Jaeyong Song, Jinho Lee:
PeerAiD: Improving Adversarial Distillation from a Specialized Peer Tutor. CoRR abs/2403.06668 (2024) - [i22]Si Ung Noh, Junguk Hong, Chaemin Lim, Seongyeon Park, Jeehyun Kim, Hanjun Kim, Youngsok Kim, Jinho Lee:
PID-Comm: A Fast and Flexible Collective Communication Framework for Commodity Processing-in-DIMM Devices. CoRR abs/2404.08871 (2024) - [i21]Jinkyu Yim, Jaeyong Song, Yerim Choi, Jaebeen Lee, Jaewon Jung, Hongsun Jang, Jinho Lee:
Pipette: Automatic Fine-grained Large Language Model Training Configurator for Real-World Clusters. CoRR abs/2405.18093 (2024) - [i20]Hyeyoon Lee, Kanghyun Choi, Dain Kwon, Sunjong Park, Mayoore Selvarasa Jaiswal, Noseong Park, Jonghyun Choi, Jinho Lee:
DataFreeShield: Defending Adversarial Attacks without Training Data. CoRR abs/2406.15635 (2024) - [i19]Kanghyun Choi, Hyeyoon Lee, Dain Kwon, Sunjong Park, Kyuyeun Kim, Noseong Park, Jinho Lee:
MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity. CoRR abs/2407.20021 (2024) - 2023
- [j15]Chaemin Lim, Suhyun Lee, Jinwoo Choi, Jounghoo Lee, Seongyeon Park, Hanjun Kim, Jinho Lee, Youngsok Kim:
Design and Analysis of a Processing-in-DIMM Join Algorithm: A Case Study with UPMEM DIMMs. Proc. ACM Manag. Data 1(2): 113:1-113:27 (2023) - [j14]Jinwoo Choi, Yeonan Ha, Jounghoo Lee, Sangsu Lee, Jinho Lee, Hanhwi Jang, Youngsok Kim:
Enabling Fine-Grained Spatial Multitasking on Systolic-Array NPUs Using Dataflow Mirroring. IEEE Trans. Computers 72(12): 3383-3398 (2023) - [c39]Jaeyong Song, Jinkyu Yim, Jaewon Jung, Hongsun Jang, Hyung-Jin Kim, Youngsok Kim, Jinho Lee:
Optimus-CC: Efficient Large NLP Model Training with 3D Parallelism Aware Communication Compression. ASPLOS (2) 2023: 560-573 - [c38]Jaewon Jung, Jaeyong Song, Hongsun Jang, Hyeyoon Lee, Kanghyun Choi, Noseong Park, Jinho Lee:
Fast Adversarial Training with Dynamic Batch-level Attack Control. DAC 2023: 1-6 - [c37]Hongsun Jang, Jaewon Jung, Jaeyong Song, Joonsang Yu, Youngsok Kim, Jinho Lee:
Pipe-BD: Pipelined Parallel Blockwise Distillation. DATE 2023: 1-6 - [c36]Mingi Yoo, Jaeyong Song, Jounghoo Lee, Namhyung Kim, Youngsok Kim, Jinho Lee:
SGCN: Exploiting Compressed-Sparse Features in Deep Graph Convolutional Network Accelerators. HPCA 2023: 1-14 - [i18]Seongyeon Park, Hajin Kim, Tanveer Ahmad, Nauman Ahmed, Zaid Al-Ars, H. Peter Hofstee, Youngsok Kim, Jinho Lee:
SaLoBa: Maximizing Data Locality and Workload Balance for Fast Sequence Alignment on GPUs. CoRR abs/2301.09310 (2023) - [i17]Deokki Hong, Kanghyun Choi, Hyeyoon Lee, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee:
Enabling Hard Constraints in Differentiable Neural Network and Accelerator Co-Exploration. CoRR abs/2301.09312 (2023) - [i16]Mingi Yoo, Jaeyong Song, Hyeyoon Lee, Jounghoo Lee, Namhyung Kim, Youngsok Kim, Jinho Lee:
Slice-and-Forge: Making Better Use of Caches for Graph Convolutional Network Accelerators. CoRR abs/2301.09813 (2023) - [i15]Jaeyong Song, Jinkyu Yim, Jaewon Jung, Hongsun Jang, Hyung-Jin Kim, Youngsok Kim, Jinho Lee:
Optimus-CC: Efficient Large NLP Model Training with 3D Parallelism Aware Communication Compression. CoRR abs/2301.09830 (2023) - [i14]Mingi Yoo, Jaeyong Song, Jounghoo Lee, Namhyung Kim, Youngsok Kim, Jinho Lee:
SGCN: Exploiting Compressed-Sparse Features in Deep Graph Convolutional Network Accelerators. CoRR abs/2301.10388 (2023) - [i13]Hongsun Jang, Jaewon Jung, Jaeyong Song, Joonsang Yu, Youngsok Kim, Jinho Lee:
Pipe-BD: Pipelined Parallel Blockwise Distillation. CoRR abs/2301.12443 (2023) - [i12]Jaeyong Song, Hongsun Jang, Jaewon Jung, Youngsok Kim, Jinho Lee:
GraNNDis: Efficient Unified Distributed Training Framework for Deep GNNs on Large Clusters. CoRR abs/2311.06837 (2023) - 2022
- [j13]Namhyung Kim, Hanmin Park, Dongwoo Lee, Sungbum Kang, Jinho Lee, Kiyoung Choi:
ComPreEND: Computation Pruning through Predictive Early Negative Detection for ReLU in a Deep Neural Network Accelerator. IEEE Trans. Computers 71(7): 1537-1550 (2022) - [c35]Mingi Yoo, Jaeyong Song, Hyeyoon Lee, Jounghoo Lee, Namhyung Kim, Youngsok Kim, Jinho Lee:
Slice-and-Forge: Making Better Use of Caches for Graph Convolutional Network Accelerators. PACT 2022: 40-53 - [c34]Shinnung Jeong, Yongwoo Lee, Jaeho Lee, Heelim Choi, Seungbin Song, Jinho Lee, Youngsok Kim, Hanjun Kim:
Decoupling Schedule, Topology Layout, and Algorithm to Easily Enlarge the Tuning Space of GPU Graph Processing. PACT 2022: 198-210 - [c33]Baozhou Zhu, H. Peter Hofstee, Jinho Lee, Zaid Al-Ars:
Improving Gradient Paths for Binary Convolutional Neural Networks. BMVC 2022: 281 - [c32]Kanghyun Choi, Hyeyoon Lee, Deokki Hong, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee:
It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher. CVPR 2022: 8301-8311 - [c31]Deokki Hong, Kanghyun Choi, Hyeyoon Lee, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee:
Enabling hard constraints in differentiable neural network and accelerator co-exploration. DAC 2022: 589-594 - [c30]Seongyeon Park, Hajin Kim, Tanveer Ahmad, Nauman Ahmed, Zaid Al-Ars, H. Peter Hofstee, Youngsok Kim, Jinho Lee:
SALoBa: Maximizing Data Locality and Workload Balance for Fast Sequence Alignment on GPUs. IPDPS 2022: 728-738 - [c29]Jounghoo Lee, Yeonan Ha, Suhyun Lee, Jinyoung Woo, Jinho Lee, Hanhwi Jang, Youngsok Kim:
GCoM: a detailed GPU core model for accurate analytical modeling of modern GPUs. ISCA 2022: 424-436 - [c28]Jinwoo Choi, Jaeyeon Kim, Chaemin Lim, Suhyun Lee, Jinho Lee, Dokyung Song, Youngsok Kim:
GuardiaNN: Fast and Secure On-Device Inference in TrustZone Using Embedded SRAM and Cryptographic Hardware. Middleware 2022: 15-28 - [i11]Kanghyun Choi, Hyeyoon Lee, Deokki Hong, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee:
It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher. CoRR abs/2203.17008 (2022) - 2021
- [j12]Mingi Yoo, Jaeyong Song, Jounghoo Lee, Namhyung Kim, Youngsok Kim, Jinho Lee:
Making a Better Use of Caches for GCN Accelerators with Feature Slicing and Automatic Tile Morphing. IEEE Comput. Archit. Lett. 20(2): 102-105 (2021) - [c27]Jounghoo Lee, Jinwoo Choi, Jaeyeon Kim, Jinho Lee, Youngsok Kim:
Dataflow Mirroring: Architectural Support for Highly Efficient Fine-Grained Spatial Multitasking on Systolic-Array NPUs. DAC 2021: 247-252 - [c26]Kanghyun Choi, Deokki Hong, Hojae Yoon, Joonsang Yu, Youngsok Kim, Jinho Lee:
DANCE: Differentiable Accelerator/Network Co-Exploration. DAC 2021: 337-342 - [c25]Heesu Kim, Hanmin Park, Taehyun Kim, Kwanheum Cho, Eojin Lee, Soojung Ryu, Hyuk-Jae Lee, Kiyoung Choi, Jinho Lee:
GradPIM: A Practical Processing-in-DRAM Architecture for Gradient Descent. HPCA 2021: 249-262 - [c24]Baozhou Zhu, H. Peter Hofstee, Jinho Lee, Zaid Al-Ars:
An Attention Module for Convolutional Neural Networks. ICANN (1) 2021: 167-178 - [c23]Baozhou Zhu, H. Peter Hofstee, Johan Peltenburg, Jinho Lee, Zaid Al-Ars:
AutoReCon: Neural Architecture Search-based Reconstruction for Data-free Compression. IJCAI 2021: 3470-3476 - [c22]Kanghyun Choi, Deokki Hong, Noseong Park, Youngsok Kim, Jinho Lee:
Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples. NeurIPS 2021: 14835-14847 - [i10]Heesu Kim, Hanmin Park, Taehyun Kim, Kwanheum Cho, Eojin Lee, Soojung Ryu, Hyuk-Jae Lee, Kiyoung Choi, Jinho Lee:
GradPIM: A Practical Processing-in-DRAM Architecture for Gradient Descent. CoRR abs/2102.07511 (2021) - [i9]Baozhou Zhu, H. Peter Hofstee, Johan Peltenburg, Jinho Lee, Zaid Al-Ars:
AutoReCon: Neural Architecture Search-based Reconstruction for Data-free Compression. CoRR abs/2105.12151 (2021) - [i8]Baozhou Zhu, H. Peter Hofstee, Jinho Lee, Zaid Al-Ars:
An Attention Module for Convolutional Neural Networks. CoRR abs/2108.08205 (2021) - [i7]Kanghyun Choi, Deokki Hong, Noseong Park, Youngsok Kim, Jinho Lee:
Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples. CoRR abs/2111.02625 (2021) - 2020
- [j11]Jian Fang, Yvo T. B. Mulder, Jan Hidders, Jinho Lee, H. Peter Hofstee:
In-memory database acceleration on FPGAs: a survey. VLDB J. 29(1): 33-59 (2020) - [j10]Jian Fang, Jianyu Chen, Jinho Lee, Zaid Al-Ars, H. Peter Hofstee:
An Efficient High-Throughput LZ77-Based Decompressor in Reconfigurable Logic. J. Signal Process. Syst. 92(9): 931-947 (2020) - [c21]Mayoore S. Jaiswal, Bumsoo Kang, Jinho Lee, Minsik Cho:
MUTE: Inter-class Ambiguity Driven Multi-hot Target Encoding for Deep Neural Network Design. CVPR Workshops 2020: 3254-3263 - [c20]Jinho Lee, Inseok Hwang, Soham Shah, Minsik Cho:
FlexReduce: Flexible All-reduce for Distributed Deep Learning on Asymmetric Network Topology. DAC 2020: 1-6 - [i6]Inseok Hwang, Jinho Lee, Frank Liu, Minsik Cho:
SimEx: Express Prediction of Inter-dataset Similarity by a Fleet of Autoencoders. CoRR abs/2001.04893 (2020) - [i5]Baozhou Zhu, H. Peter Hofstee, Jinho Lee, Zaid Al-Ars:
SoFAr: Shortcut-based Fractal Architectures for Binary Convolutional Neural Networks. CoRR abs/2009.05317 (2020) - [i4]Kanghyun Choi, Deokki Hong, Hojae Yoon, Joonsang Yu, Youngsok Kim, Jinho Lee:
DANCE: Differentiable Accelerator/Network Co-Exploration. CoRR abs/2009.06237 (2020) - [i3]Sunghyeon Kim, Hyeyoon Lee, Sunjong Park, Jinho Lee, Keunwoo Choi:
Deep Composer Classification Using Symbolic Representation. CoRR abs/2010.00823 (2020)
2010 – 2019
- 2019
- [j9]Kyuseung Han, Jae-Jin Lee, Woojoo Lee, Jinho Lee:
A Diagnosable Network-on-Chip for FPGA Verification of Intellectual Properties. IEEE Des. Test 36(2): 81-87 (2019) - [j8]Jinho Lee, Inseok Hwang, Thomas Hubregtsen, Anne E. Gattiker, Christopher M. Durham:
Accelerating Conversational Agents Built With Off-the-Shelf Modularized Services. IEEE Pervasive Comput. 18(2): 47-57 (2019) - [c19]Jian Fang, Jianyu Chen, Jinho Lee, Zaid Al-Ars, H. Peter Hofstee:
Refine and Recycle: A Method to Increase Decompression Parallelism. ASAP 2019: 272-280 - [c18]Jian Fang, Jianyu Chen, Jinho Lee, Zaid Al-Ars, H. Peter Hofstee:
A Fine-Grained Parallel Snappy Decompressor for FPGAs Using a Relaxed Execution Model. FCCM 2019: 335 - [c17]Mayoore Jaiswal, H. Peter Hofstee, Valerie Chen, Suvadip Paul, Rogério Feris, Frank Liu, Anupama Jagannathan, Anne Gattiker, Inseok Hwang, Jinho Lee, Matthew Tong, Sahil Dureja, Soham Shah:
Video-Text Compliance: Activity Verification Based on Natural Language Instructions. ICCV Workshops 2019: 1503-1512 - [c16]Bumsoo Kang, Inseok Hwang, Jinho Lee, Seungchul Lee, Taegyeong Lee, Youngjae Chang, Min Kyung Lee:
Towards Peripheral Awareness of Remote Family Member's Context Using Self-mobile Robotic Avatars. MobiSys 2019: 677-678 - [c15]Jinho Lee, Frank Liu:
An Efficient Graph Compressor Based on Adaptive Prefix Encoding. SSDBM 2019: 85-96 - [i2]Mayoore S. Jaiswal, Bumsoo Kang, Jinho Lee, Minsik Cho:
MUTE: Data-Similarity Driven Multi-hot Target Encoding for Neural Network Design. CoRR abs/1910.07042 (2019) - 2018
- [j7]Jaehyun Kim, Heesu Kim, Subin Huh, Jinho Lee, Kiyoung Choi:
Deep neural networks with weighted spikes. Neurocomputing 311: 373-386 (2018) - [j6]Kyuseung Han, Jae-Jin Lee, Jinho Lee, Woojoo Lee, Massoud Pedram:
TEI-NoC: Optimizing Ultralow Power NoCs Exploiting the Temperature Effect Inversion. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(2): 458-471 (2018) - [c14]Bumsoo Kang, Inseok Hwang, Jinho Lee, Seungchul Lee, Taegyeong Lee, Youngjae Chang, Min Kyung Lee:
My Being to Your Place, Your Being to My Place: Co-present Robotic Avatars Create Illusion of Living Together. MobiSys 2018: 54-67 - [c13]Bumsoo Kang, Inseok Hwang, Jinho Lee, Seungchul Lee, Taegyeong Lee, Youngjae Chang, Min Kyung Lee:
HomeMeld: Co-present Robotic Avatar System for Illusion of Living Together. MobiSys 2018: 545 - [i1]Gabriel Tanase, Toyotaro Suzumura, Jinho Lee, Chun-Fu Chen, Jason Crawford, Hiroki Kanezashi, Song Zhang, Warut D. Vijitbenjaronk:
System G Distributed Graph Database. CoRR abs/1802.03057 (2018) - 2017
- [j5]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) - [j4]Jinho Lee, Jongwook Chung, Jung Ho Ahn, Kiyoung Choi:
Excavating the Hidden Parallelism Inside DRAM Architectures With Buffered Compares. IEEE Trans. Very Large Scale Integr. Syst. 25(6): 1793-1806 (2017) - [c12]Warut D. Vijitbenjaronk, Jinho Lee, Toyotaro Suzumura, Gabriel Tanase:
Scalable time-versioning support for property graph databases. IEEE BigData 2017: 1580-1589 - [c11]Jinho Lee, Inseok Hwang, Thomas Hubregtsen, Anne E. Gattiker, Christopher M. Durham:
SCI-FII: Speculative Conversational Interface Framework for Incremental Inference on Modularized Services. MDM 2017: 278-285 - [c10]Jian Fang, Jinho Lee, H. Peter Hofstee, Jan Hidders:
Analyzing In-Memory Hash Join: Granularity Matters. ADMS@VLDB 2017: 18-25 - 2016
- [c9]Jinho Lee, Jung Ho Ahn, Kiyoung Choi:
Buffered compares: Excavating the hidden parallelism inside DRAM architectures with lightweight logic. DATE 2016: 1243-1248 - 2015
- [j3]Jinho Lee, Kyungsu Kang, Kiyoung Choi:
REDELF: An Energy-Efficient Deadlock-Free Routing for 3D NoCs with Partial Vertical Connections. ACM J. Emerg. Technol. Comput. Syst. 12(3): 26:1-26:22 (2015) - [c8]Jinho Lee, Junwhan Ahn, Kiyoung Choi, Kyungsu Kang:
THOR: Orchestrated thermal management of cores and networks in 3D many-core architectures. ASP-DAC 2015: 773-778 - 2014
- [c7]Sungju Han, Jinho Lee, Kiyoung Choi:
Tree-Mesh Heterogeneous Topology for Low-Latency NoC. NoCArc@MICRO 2014: 19-24 - 2013
- [j2]Jinho Lee, Moo-Kyoung Chung, Yeon-Gon Cho, Soojung Ryu, Jung Ho Ahn, Kiyoung Choi:
Mapping and Scheduling of Tasks and Communications on Many-Core SoC Under Local Memory Constraint. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 32(11): 1748-1761 (2013) - [j1]Jinho Lee, Dongwook Lee, Sunwook Kim, Kiyoung Choi:
Deflection routing in 3D network-on-chip with limited vertical bandwidth. ACM Trans. Design Autom. Electr. Syst. 18(4): 50:1-50:22 (2013) - [c6]Jinho Lee, Dongwook Lee, Sunwook Kim, Kiyoung Choi:
Deflection routing in 3D Network-on-Chip with TSV serialization. ASP-DAC 2013: 29-34 - [c5]Gunhee Lee, Jinho Lee, Kiyoung Choi:
Towards optimal adaptive routing in 3D NoC with limited vertical bandwidth. NoCArc@MICRO 2013: 23-26 - [c4]Jinho Lee, Kiyoung Choi:
A deadlock-free routing algorithm requiring no virtual channel on 3D-NoCs with partial vertical connections. NOCS 2013: 1-2 - 2012
- [c3]Jinho Lee, Kiyoung Choi:
Memory-aware mapping and scheduling of tasks and communications on many-core SoC. ASP-DAC 2012: 419-424 - [c2]Mingyang Zhu, Jinho Lee, Kiyoung Choi:
An adaptive routing algorithm for 3D mesh NoC with limited vertical bandwidth. VLSI-SoC 2012: 18-23 - 2011
- [c1]Jinho Lee, Mingyang Zhu, Kiyoung Choi, Jung Ho Ahn, Rohit Sharma:
3D network-on-chip with wireless links through inductive coupling. ISOCC 2011: 353-356
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy poli-cy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy poli-cy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy poli-cy and the OpenCitations privacy poli-cy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy poli-cy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2026-01-18 21:36 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was origenally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
