Jinho Lee

105 papers A* 20A 11B 7C 1Misc 1Journal 49Unranked 16
YearRankTypeTitle / Venue / Authors
2026 — conf
A Cost-Effective Near-Storage Processing Solution for Offline Inference of Long-Context LLMs.
ASPLOS (2)
Hongsun Jang, Jaeyong Song, Changmin Shin, Si Ung Noh, Jaewon Jung, Jisung Park, Jinho Lee
2026 J jnl
AGIS: Fast Approximate Graph Pattern Mining with Structure-Informed Sampling.
CoRR
Seoyong Lee, Jinho Lee
2026 J jnl
DANCE++: Differentiable Accelerator/Network Co-Exploration With Hard Constraints and Data-Free Training for Real-World Scenarios.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Kanghyun Choi, Deokki Hong, Hyeyoon Lee, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee
2026 A conf
FlexiWalker: Extensible GPU Framework for Efficient Dynamic Random Walks with Runtime Adaptation.
EuroSys
Seongyeon Park, Jaeyong Song, Changmin Shin, Sukjin Kim, Junguk Hong, Jinho Lee
2026 A* conf
LoCaLUT: Harnessing Capacity-Computation Tradeoffs for LUT-Based Inference in DRAM-PIM.
HPCA
Junguk Hong, Changmin Shin, Sukjin Kim, Si Ung Noh, Taehee Kwon, Seongyeon Park, Hanjun Kim, Youngsok Kim, Jinho Lee
2025 J jnl
AGIS: Fast Approximate Graph Pattern Mining with Structure-Informed Sampling.
Proc. VLDB Endow.
Seoyong Lee, Jinho Lee
2025 A* conf
CrossBit: Bitwise Computing in NAND Flash Memory with Inter-Bitline Data Communication.
MICRO
HyunJin Kim, Seunghwan Song, Sukhyun Choi, Jeongin Choe, SangHyeok Han, Jisung Park, Jinho Lee, Jae-Joon Kim
2025 B conf
DMO-DB: Mitigating the Data Movement Bottlenecks of GPU-Accelerated Relational OLAP.
PACT
Chaemin Lim, Suhyun Lee, Jinwoo Choi, Joonsung Kim, Jinho Lee, Youngsok Kim
2025 A* conf
FALA: Locality-Aware PIM-Host Cooperation for Graph Processing with Fine-Grained Column Access.
MICRO
Changmin Shin, Jaeyong Song, Seongmin Na, Jun Sung, Hongsun Jang, Jinho Lee
2025 J jnl
FALQON: Accelerating LoRA Fine-tuning with Low-Bit Floating-Point Arithmetic.
CoRR
Kanghyun Choi, Hyeyoon Lee, Sunjong Park, Dain Kwon, Jinho Lee
2025 J jnl
FlexiWalker: Extensible GPU Framework for Efficient Dynamic Random Walks with Runtime Adaptation.
CoRR
Seongyeon Park, Jaeyong Song, Changmin Shin, Sukjin Kim, Junguk Hong, Jinho Lee
2025 A conf
G^3SA: A GPU-Accelerated Gold Standard Genomics Library for End-to-End Sequence Alignment.
ICS
Yeejoo Han, Sunwoo Kim, Seongyeon Park, Jinho Lee
2025 J jnl
INF
CoRR
Hongsun Jang, Si Ung Noh, Changmin Shin, Jaewon Jung, Jaeyong Song, Jinho Lee
2025 A* conf
MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity.
AAAI
Kanghyun Choi, Hyeyoon Lee, Dain Kwon, Sunjong Park, Kyuyeun Kim, Noseong Park, Jonghyun Choi, Jinho Lee
2025 — conf
PathWeaver: A High-Throughput Multi-GPU System for Graph-Based Approximate Nearest Neighbor Search.
USENIX ATC
Sukjin Kim, Seongyeon Park, Si Ung Noh, Junguk Hong, Taehee Kwon, Hunseong Lim, Jinho Lee
2025 J jnl
PathWeaver: A High-Throughput Multi-GPU System for Graph-Based Approximate Nearest Neighbor Search.
CoRR
Sukjin Kim, Seongyeon Park, Si Ung Noh, Junguk Hong, Taehee Kwon, Hunseong Lim, Jinho Lee
2025 J jnl
Piccolo: Large-Scale Graph Processing with Fine-Grained In-Memory Scatter-Gather.
CoRR
Changmin Shin, Jaeyong Song, Hongsun Jang, Dogeun Kim, Jun Sung, Taehee Kwon, Jae Hyung Ju, Frank Liu, YeonKyu Choi, Jinho Lee
2025 A* conf
Piccolo: Large-Scale Graph Processing with Fine-Grained in-Memory Scatter-Gather.
HPCA
Changmin Shin, Jaeyong Song, Hongsun Jang, Dogeun Kim, Jun Sung, Taehee Kwon, Jae Hyung Ju, Frank Liu, YeonKyu Choi, Jinho Lee
2024 J jnl
A Case for In-Memory Random Scatter-Gather for Fast Graph Processing.
IEEE Comput. Archit. Lett.
Changmin Shin, Taehee Kwon, Jaeyong Song, Jae Hyung Ju, Frank Liu, YeonKyu Choi, Jinho Lee
2024 B conf
AGAThA: Fast and Efficient GPU Acceleration of Guided Sequence Alignment for Long Read Mapping.
PPoPP
Seongyeon Park, Junguk Hong, Jaeyong Song, Hajin Kim, Youngsok Kim, Jinho Lee
2024 J jnl
AGAThA: Fast and Efficient GPU Acceleration of Guided Sequence Alignment for Long Read Mapping.
CoRR
Seongyeon Park, Junguk Hong, Jaeyong Song, Hajin Kim, Youngsok Kim, Jinho Lee
2024 A* conf
DataFreeShield: Defending Adversarial Attacks without Training Data.
ICML
Hyeyoon Lee, Kanghyun Choi, Dain Kwon, Sunjong Park, Mayoore Selvarasa Jaiswal, Noseong Park, Jonghyun Choi, Jinho Lee
2024 J jnl
DataFreeShield: Defending Adversarial Attacks without Training Data.
CoRR
Hyeyoon Lee, Kanghyun Choi, Dain Kwon, Sunjong Park, Mayoore Selvarasa Jaiswal, Noseong Park, Jonghyun Choi, Jinho Lee
2024 B conf
GraNNDis: Fast Distributed Graph Neural Network Training Framework for Multi-Server Clusters.
PACT
Jaeyong Song, Hongsun Jang, Hunseong Lim, Jaewon Jung, Youngsok Kim, Jinho Lee
2024 J jnl
MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity.
CoRR
Kanghyun Choi, Hyeyoon Lee, Dain Kwon, Sunjong Park, Kyuyeun Kim, Noseong Park, Jinho Lee
2024 A* conf
PID-Comm: A Fast and Flexible Collective Communication Framework for Commodity Processing-in-DIMM Devices.
ISCA
Si Ung Noh, Junguk Hong, Chaemin Lim, Seongyeon Park, Jeehyun Kim, Hanjun Kim, Youngsok Kim, Jinho Lee
2024 J jnl
PID-Comm: A Fast and Flexible Collective Communication Framework for Commodity Processing-in-DIMM Devices.
CoRR
Si Ung Noh, Junguk Hong, Chaemin Lim, Seongyeon Park, Jeehyun Kim, Hanjun Kim, Youngsok Kim, Jinho Lee
2024 A* conf
PeerAiD: Improving Adversarial Distillation from a Specialized Peer Tutor.
CVPR
Jaewon Jung, Hongsun Jang, Jaeyong Song, Jinho Lee
2024 J jnl
PeerAiD: Improving Adversarial Distillation from a Specialized Peer Tutor.
CoRR
Jaewon Jung, Hongsun Jang, Jaeyong Song, Jinho Lee
2024 A conf
Pipette: Automatic Fine-Grained Large Language Model Training Configurator for Real-World Clusters.
DATE
Jinkyu Yim, Jaeyong Song, Yerim Choi, Jaebeen Lee, Jaewon Jung, Hongsun Jang, Jinho Lee
2024 J jnl
Pipette: Automatic Fine-grained Large Language Model Training Configurator for Real-World Clusters.
CoRR
Jinkyu Yim, Jaeyong Song, Yerim Choi, Jaebeen Lee, Jaewon Jung, Hongsun Jang, Jinho Lee
2024 A* conf
Smart-Infinity: Fast Large Language Model Training using Near-Storage Processing on a Real System.
HPCA
Hongsun Jang, Jaeyong Song, Jaewon Jung, Jaeyoung Park, Youngsok Kim, Jinho Lee
2024 J jnl
Smart-Infinity: Fast Large Language Model Training using Near-Storage Processing on a Real System.
CoRR
Hongsun Jang, Jaeyong Song, Jaewon Jung, Jaeyoung Park, Youngsok Kim, Jinho Lee
2023 J jnl
Design and Analysis of a Processing-in-DIMM Join Algorithm: A Case Study with UPMEM DIMMs.
Proc. ACM Manag. Data
Chaemin Lim, Suhyun Lee, Jinwoo Choi, Jounghoo Lee, Seongyeon Park, Hanjun Kim, Jinho Lee, Youngsok Kim
2023 J jnl
Enabling Fine-Grained Spatial Multitasking on Systolic-Array NPUs Using Dataflow Mirroring.
IEEE Trans. Computers
Jinwoo Choi, Yeonan Ha, Jounghoo Lee, Sangsu Lee, Jinho Lee, Hanhwi Jang, Youngsok Kim
2023 J jnl
Enabling Hard Constraints in Differentiable Neural Network and Accelerator Co-Exploration.
CoRR
Deokki Hong, Kanghyun Choi, Hyeyoon Lee, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee
2023 A* conf
Fast Adversarial Training with Dynamic Batch-level Attack Control.
DAC
Jaewon Jung, Jaeyong Song, Hongsun Jang, Hyeyoon Lee, Kanghyun Choi, Noseong Park, Jinho Lee
2023 J jnl
GraNNDis: Efficient Unified Distributed Training Framework for Deep GNNs on Large Clusters.
CoRR
Jaeyong Song, Hongsun Jang, Jaewon Jung, Youngsok Kim, Jinho Lee
2023 — conf
Optimus-CC: Efficient Large NLP Model Training with 3D Parallelism Aware Communication Compression.
ASPLOS (2)
Jaeyong Song, Jinkyu Yim, Jaewon Jung, Hongsun Jang, Hyung-Jin Kim, Youngsok Kim, Jinho Lee
2023 J jnl
Optimus-CC: Efficient Large NLP Model Training with 3D Parallelism Aware Communication Compression.
CoRR
Jaeyong Song, Jinkyu Yim, Jaewon Jung, Hongsun Jang, Hyung-Jin Kim, Youngsok Kim, Jinho Lee
2023 A conf
Pipe-BD: Pipelined Parallel Blockwise Distillation.
DATE
Hongsun Jang, Jaewon Jung, Jaeyong Song, Joonsang Yu, Youngsok Kim, Jinho Lee
2023 J jnl
Pipe-BD: Pipelined Parallel Blockwise Distillation.
CoRR
Hongsun Jang, Jaewon Jung, Jaeyong Song, Joonsang Yu, Youngsok Kim, Jinho Lee
2023 A* conf
SGCN: Exploiting Compressed-Sparse Features in Deep Graph Convolutional Network Accelerators.
HPCA
Mingi Yoo, Jaeyong Song, Jounghoo Lee, Namhyung Kim, Youngsok Kim, Jinho Lee
2023 J jnl
SGCN: Exploiting Compressed-Sparse Features in Deep Graph Convolutional Network Accelerators.
CoRR
Mingi Yoo, Jaeyong Song, Jounghoo Lee, Namhyung Kim, Youngsok Kim, Jinho Lee
2023 J jnl
SaLoBa: Maximizing Data Locality and Workload Balance for Fast Sequence Alignment on GPUs.
CoRR
Seongyeon Park, Hajin Kim, Tanveer Ahmad, Nauman Ahmed, Zaid Al-Ars, H. Peter Hofstee, Youngsok Kim, Jinho Lee
2023 J jnl
Slice-and-Forge: Making Better Use of Caches for Graph Convolutional Network Accelerators.
CoRR
Mingi Yoo, Jaeyong Song, Hyeyoon Lee, Jounghoo Lee, Namhyung Kim, Youngsok Kim, Jinho Lee
2022 J jnl
ComPreEND: Computation Pruning through Predictive Early Negative Detection for ReLU in a Deep Neural Network Accelerator.
IEEE Trans. Computers
Namhyung Kim, Hanmin Park, Dongwoo Lee, Sungbum Kang, Jinho Lee, Kiyoung Choi
2022 B conf
Decoupling Schedule, Topology Layout, and Algorithm to Easily Enlarge the Tuning Space of GPU Graph Processing.
PACT
Shinnung Jeong, Yongwoo Lee, Jaeho Lee, Heelim Choi, Seungbin Song, Jinho Lee, Youngsok Kim, Hanjun Kim
2022 A* conf
Enabling hard constraints in differentiable neural network and accelerator co-exploration.
DAC
Deokki Hong, Kanghyun Choi, Hyeyoon Lee, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee
2022 A* conf
GCoM: a detailed GPU core model for accurate analytical modeling of modern GPUs.
ISCA
Jounghoo Lee, Yeonan Ha, Suhyun Lee, Jinyoung Woo, Jinho Lee, Hanhwi Jang, Youngsok Kim
2022 A conf
GuardiaNN: Fast and Secure On-Device Inference in TrustZone Using Embedded SRAM and Cryptographic Hardware.
Middleware
Jinwoo Choi, Jaeyeon Kim, Chaemin Lim, Suhyun Lee, Jinho Lee, Dokyung Song, Youngsok Kim
2022 A conf
Improving Gradient Paths for Binary Convolutional Neural Networks.
BMVC
Baozhou Zhu, H. Peter Hofstee, Jinho Lee, Zaid Al-Ars
2022 A* conf
It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher.
CVPR
Kanghyun Choi, Hyeyoon Lee, Deokki Hong, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee
2022 J jnl
It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher.
CoRR
Kanghyun Choi, Hyeyoon Lee, Deokki Hong, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee
2022 A conf
SALoBa: Maximizing Data Locality and Workload Balance for Fast Sequence Alignment on GPUs.
IPDPS
Seongyeon Park, Hajin Kim, Tanveer Ahmad, Nauman Ahmed, Zaid Al-Ars, H. Peter Hofstee, Youngsok Kim, Jinho Lee
2022 B conf
Slice-and-Forge: Making Better Use of Caches for Graph Convolutional Network Accelerators.
PACT
Mingi Yoo, Jaeyong Song, Hyeyoon Lee, Jounghoo Lee, Namhyung Kim, Youngsok Kim, Jinho Lee
2021 — conf
An Attention Module for Convolutional Neural Networks.
ICANN (1)
Baozhou Zhu, H. Peter Hofstee, Jinho Lee, Zaid Al-Ars
2021 J jnl
An Attention Module for Convolutional Neural Networks.
CoRR
Baozhou Zhu, H. Peter Hofstee, Jinho Lee, Zaid Al-Ars
2021 A* conf
AutoReCon: Neural Architecture Search-based Reconstruction for Data-free Compression.
IJCAI
Baozhou Zhu, H. Peter Hofstee, Johan Peltenburg, Jinho Lee, Zaid Al-Ars
2021 J jnl
AutoReCon: Neural Architecture Search-based Reconstruction for Data-free Compression.
CoRR
Baozhou Zhu, H. Peter Hofstee, Johan Peltenburg, Jinho Lee, Zaid Al-Ars
2021 A* conf
DANCE: Differentiable Accelerator/Network Co-Exploration.
DAC
Kanghyun Choi, Deokki Hong, Hojae Yoon, Joonsang Yu, Youngsok Kim, Jinho Lee
2021 A* conf
Dataflow Mirroring: Architectural Support for Highly Efficient Fine-Grained Spatial Multitasking on Systolic-Array NPUs.
DAC
Jounghoo Lee, Jinwoo Choi, Jaeyeon Kim, Jinho Lee, Youngsok Kim
2021 A* conf
GradPIM: A Practical Processing-in-DRAM Architecture for Gradient Descent.
HPCA
Heesu Kim, Hanmin Park, Taehyun Kim, Kwanheum Cho, Eojin Lee, Soojung Ryu, Hyuk-Jae Lee, Kiyoung Choi, Jinho Lee
2021 J jnl
GradPIM: A Practical Processing-in-DRAM Architecture for Gradient Descent.
CoRR
Heesu Kim, Hanmin Park, Taehyun Kim, Kwanheum Cho, Eojin Lee, Soojung Ryu, Hyuk-Jae Lee, Kiyoung Choi, Jinho Lee
2021 J jnl
Making a Better Use of Caches for GCN Accelerators with Feature Slicing and Automatic Tile Morphing.
IEEE Comput. Archit. Lett.
Mingi Yoo, Jaeyong Song, Jounghoo Lee, Namhyung Kim, Youngsok Kim, Jinho Lee
2021 A* conf
Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples.
NeurIPS
Kanghyun Choi, Deokki Hong, Noseong Park, Youngsok Kim, Jinho Lee
2021 J jnl
Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples.
CoRR
Kanghyun Choi, Deokki Hong, Noseong Park, Youngsok Kim, Jinho Lee
2020 J jnl
An Efficient High-Throughput LZ77-Based Decompressor in Reconfigurable Logic.
J. Signal Process. Syst.
Jian Fang, Jianyu Chen, Jinho Lee, Zaid Al-Ars, H. Peter Hofstee
2020 J jnl
DANCE: Differentiable Accelerator/Network Co-Exploration.
CoRR
Kanghyun Choi, Deokki Hong, Hojae Yoon, Joonsang Yu, Youngsok Kim, Jinho Lee
2020 J jnl
Deep Composer Classification Using Symbolic Representation.
CoRR
Sunghyeon Kim, Hyeyoon Lee, Sunjong Park, Jinho Lee, Keunwoo Choi
2020 A* conf
FlexReduce: Flexible All-reduce for Distributed Deep Learning on Asymmetric Network Topology.
DAC
Jinho Lee, Inseok Hwang, Soham Shah, Minsik Cho
2020 J jnl
In-memory database acceleration on FPGAs: a survey.
VLDB J.
Jian Fang, Yvo T. B. Mulder, Jan Hidders, Jinho Lee, H. Peter Hofstee
2020 — conf
MUTE: Inter-class Ambiguity Driven Multi-hot Target Encoding for Deep Neural Network Design.
CVPR Workshops
Mayoore S. Jaiswal, Bumsoo Kang, Jinho Lee, Minsik Cho
2020 J jnl
SimEx: Express Prediction of Inter-dataset Similarity by a Fleet of Autoencoders.
CoRR
Inseok Hwang, Jinho Lee, Frank Liu, Minsik Cho
2020 J jnl
SoFAr: Shortcut-based Fractal Architectures for Binary Convolutional Neural Networks.
CoRR
Baozhou Zhu, H. Peter Hofstee, Jinho Lee, Zaid Al-Ars
2019 J jnl
A Diagnosable Network-on-Chip for FPGA Verification of Intellectual Properties.
IEEE Des. Test
Kyuseung Han, Jae-Jin Lee, Woojoo Lee, Jinho Lee
2019 Misc conf
A Fine-Grained Parallel Snappy Decompressor for FPGAs Using a Relaxed Execution Model.
FCCM
Jian Fang, Jianyu Chen, Jinho Lee, Zaid Al-Ars, H. Peter Hofstee
2019 J jnl
Accelerating Conversational Agents Built With Off-the-Shelf Modularized Services.
IEEE Pervasive Comput.
Jinho Lee, Inseok Hwang, Thomas Hubregtsen, Anne E. Gattiker, Christopher M. Durham
2019 B conf
An Efficient Graph Compressor Based on Adaptive Prefix Encoding.
SSDBM
Jinho Lee, Frank Liu
2019 J jnl
MUTE: Data-Similarity Driven Multi-hot Target Encoding for Neural Network Design.
CoRR
Mayoore S. Jaiswal, Bumsoo Kang, Jinho Lee, Minsik Cho
2019 — conf
Refine and Recycle: A Method to Increase Decompression Parallelism.
ASAP
Jian Fang, Jianyu Chen, Jinho Lee, Zaid Al-Ars, H. Peter Hofstee
2019 A conf
Towards Peripheral Awareness of Remote Family Member's Context Using Self-mobile Robotic Avatars.
MobiSys
Bumsoo Kang, Inseok Hwang, Jinho Lee, Seungchul Lee, Taegyeong Lee, Youngjae Chang, Min Kyung Lee
2019 — conf
Video-Text Compliance: Activity Verification Based on Natural Language Instructions.
ICCV Workshops
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
2018 J jnl
Deep neural networks with weighted spikes.
Neurocomputing
Jaehyun Kim, Heesu Kim, Subin Huh, Jinho Lee, Kiyoung Choi
2018 A conf
HomeMeld: Co-present Robotic Avatar System for Illusion of Living Together.
MobiSys
Bumsoo Kang, Inseok Hwang, Jinho Lee, Seungchul Lee, Taegyeong Lee, Youngjae Chang, Min Kyung Lee
2018 A conf
My Being to Your Place, Your Being to My Place: Co-present Robotic Avatars Create Illusion of Living Together.
MobiSys
Bumsoo Kang, Inseok Hwang, Jinho Lee, Seungchul Lee, Taegyeong Lee, Youngjae Chang, Min Kyung Lee
2018 J jnl
System G Distributed Graph Database.
CoRR
Gabriel Tanase, Toyotaro Suzumura, Jinho Lee, Chun-Fu Chen, Jason Crawford, Hiroki Kanezashi, Song Zhang, Warut D. Vijitbenjaronk
2018 J jnl
TEI-NoC: Optimizing Ultralow Power NoCs Exploiting the Temperature Effect Inversion.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Kyuseung Han, Jae-Jin Lee, Jinho Lee, Woojoo Lee, Massoud Pedram
2017 — conf
Analyzing In-Memory Hash Join: Granularity Matters.
ADMS@VLDB
Jian Fang, Jinho Lee, H. Peter Hofstee, Jan Hidders
2017 J jnl
Excavating the Hidden Parallelism Inside DRAM Architectures With Buffered Compares.
IEEE Trans. Very Large Scale Integr. Syst.
Jinho Lee, Jongwook Chung, Jung Ho Ahn, Kiyoung Choi
2017 J jnl
ExtraV: Boosting Graph Processing Near Storage with a Coherent Accelerator.
Proc. VLDB Endow.
Jinho Lee, Heesu Kim, Sungjoo Yoo, Kiyoung Choi, H. Peter Hofstee, Gi-Joon Nam, Mark Nutter, Damir A. Jamsek
2017 B conf
SCI-FII: Speculative Conversational Interface Framework for Incremental Inference on Modularized Services.
MDM
Jinho Lee, Inseok Hwang, Thomas Hubregtsen, Anne E. Gattiker, Christopher M. Durham
2017 — conf
Scalable time-versioning support for property graph databases.
IEEE BigData
Warut D. Vijitbenjaronk, Jinho Lee, Toyotaro Suzumura, Gabriel Tanase
2016 A conf
Buffered compares: Excavating the hidden parallelism inside DRAM architectures with lightweight logic.
DATE
Jinho Lee, Jung Ho Ahn, Kiyoung Choi
2015 J jnl
REDELF: An Energy-Efficient Deadlock-Free Routing for 3D NoCs with Partial Vertical Connections.
ACM J. Emerg. Technol. Comput. Syst.
Jinho Lee, Kyungsu Kang, Kiyoung Choi
2015 — conf
THOR: Orchestrated thermal management of cores and networks in 3D many-core architectures.
ASP-DAC
Jinho Lee, Junwhan Ahn, Kiyoung Choi, Kyungsu Kang
2014 — conf
Tree-Mesh Heterogeneous Topology for Low-Latency NoC.
NoCArc@MICRO
Sungju Han, Jinho Lee, Kiyoung Choi
2013 — conf
A deadlock-free routing algorithm requiring no virtual channel on 3D-NoCs with partial vertical connections.
NOCS
Jinho Lee, Kiyoung Choi
2013 — conf
Deflection routing in 3D Network-on-Chip with TSV serialization.
ASP-DAC
Jinho Lee, Dongwook Lee, Sunwook Kim, Kiyoung Choi
2013 J jnl
Deflection routing in 3D network-on-chip with limited vertical bandwidth.
ACM Trans. Design Autom. Electr. Syst.
Jinho Lee, Dongwook Lee, Sunwook Kim, Kiyoung Choi
2013 J jnl
Mapping and Scheduling of Tasks and Communications on Many-Core SoC Under Local Memory Constraint.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Jinho Lee, Moo-Kyoung Chung, Yeon-Gon Cho, Soojung Ryu, Jung Ho Ahn, Kiyoung Choi
2013 — conf
Towards optimal adaptive routing in 3D NoC with limited vertical bandwidth.
NoCArc@MICRO
Gunhee Lee, Jinho Lee, Kiyoung Choi
2012 C conf
An adaptive routing algorithm for 3D mesh NoC with limited vertical bandwidth.
VLSI-SoC
Mingyang Zhu, Jinho Lee, Kiyoung Choi
2012 — conf
Memory-aware mapping and scheduling of tasks and communications on many-core SoC.
ASP-DAC
Jinho Lee, Kiyoung Choi
2011 — conf
3D network-on-chip with wireless links through inductive coupling.
ISOCC
Jinho Lee, Mingyang Zhu, Kiyoung Choi, Jung Ho Ahn, Rohit Sharma