[International]
2024
- Soonyeol Hwang, Eunkyung Lee, Hongseok Oh, Youngmin Yi*, “FASOP: Fast yet Accurate Automated
Search for Optimal Parallelization of Transformers on Heterogeneous GPU Clusters,” to appear in the proceedings of International Symposium on High-Performance Parallel and Distributed Computing(HPDC), Jun. 2024 [BK21 IF 2] [KIISE S]
- Kezhao Huang, Jidong Zhai, Liyan Zheng, Haojie Wang, Yuyang Jin, Qihao Zhang, Runqing Zhang, Zhen Zheng, Youngmin Yi, Xipeng Shen, “WiseGraph: Optimizing GNN with Joint Workload Partition of Graph and Operations,” to appear in the proceedings of EuroSys’24, Apr. 2024 [BK21 IF 2] [KIISE S]
2023
- Chanyoung Oh, Saehanseul Yi, Jongkyu Seok, Hyeonjin Jung, Illo Yoon, Youngmin Yi*, “HybridHadoop: CPU-GPU Hybrid Scheduling in Hadoop,” in Cluster Computing, Springer Nature, [SCI]
- Sumin Kim, Taeyoon Ahn, Youngmin Yi*, “AutoSparse: Automatic Search for Efficient Activation Sparsity-aware CNN Accelerator,” Proceedings of 60th Design Automation Conference (DAC), Jul. 2023 [BK21 IF 3][Poster presentation]
2022
- Gunju Park, Youngmin Yi*, “CondNAS: Neural Architecture Search for Conditional CNNs,” MDPI Electronics, vol. 11, no. 7, 2022 [SCI]
2021
- Sumin Kim, Gunju Park, Youngmin Yi*, “Performance Evaluation of INT8 Quantized Inference on Mobile GPUs,” IEEE Access, vol. 9, 2021 [SCI]
- Chanyoung Oh, Junhyuck So, Sumin Kim, Youngmin Yi*, “Exploiting Activation Sparsity for Fast CNN Inference on Mobile GPUs,” ACM Transactions on Embedded Computing Systems (TECS) [SCI] and presented at International Conference on Hardware/Software Codesign and Software Synthesis (CODES+ISSS), Oct. 2021 [BK21 IF 2]
- Sumin Kim, Seunghwan Oh, Youngmin Yi*, “Minimizing GPU Kernel Launch Overhead in Deep Learning Inference on Mobile GPUs,” Proceedings of the 22nd International Workshop on Mobile Computing Systems and Applications (HotMobile), Feb. 2021
- Kezhao Huang, Zhen Zheng, Jidong Zhai*, Youngmin Yi, Xipeng Shen, “Understanding and bridging the gaps in current GNN performance optimizations,” Proceedings of the 26th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP), Feb. 2021 [BK21 IF 3] [KIISE S]
- Chanyoung Oh, Hyeonjin Jung, Saehanseul Yi, Illo Yoon, Youngmin Yi*, “HybridHadoop: CPU-GPU Hybrid Scheduling in Hadoop,” HPC Asia, Jan. 2021
2020
- Chanyoung Oh, Zhen Zheng, Xipeng Shen*, Jidong Zhai*, Youngmin Yi*, “GOPipe: A Granularity-Oblivious Programming Framework for Pipelined Stencil Executions on GPU,” Proceedings of the ACM International Conference on Parallel Architectures and Compilation Techniques (PACT), Sep. 2020 [BK21 IF 3] [KIISE S]
- Kyungchul Park, Chanyoung Oh, Youngmin Yi*, “BPNet: branch-pruned conditional neural network for systematic time-accuracy tradeoff,” Proceedings of 57th Design Automation Conference (DAC), Jul. 2020 [BK21 IF 3] [KIISE S]
- Chanyoung Oh, Gunjoo Park, Sumin Kim, Dohee Kim, Youngmin Yi*, “Towards Real-time CNN Inference from a Video Stream on a Mobile GPU (WiP Paper),” The 21st ACM SIGPLAN/SIGBED Conference on Languages, Compilers, and Tools for Embedded Systems (LCTES), Mar. 2020 [BK21 IF 2]
- Duseok Kang, Jinwoo Oh, Jongwoo Choi, Youngmin Yi, Soonhoi Ha*, “Scheduling of deep learning applications onto heterogeneous processors in an embedded device,” IEEE Access, vol. 8, 2020 [SCI]
2019
- Hyeonjin Jung, Jungil Yun, Won-sik Cheong, Youngmin Yi*, “GPU-Accelerated Interactive Virtual View Synthesis from Light Field Images,” The 11th International Conference on 3D Systems and Applications (3DSA), Nov. 2019
- Kyungchul Park, Youngmin Yi*, “BPNet: Branch-pruned conditional neural network for systematic time-accuracy tradeoff in DNN inference: work-in-progress,” International Conference on Hardware/Software Codesign and Software Synthesis (CODES+ISSS), Oct. 2019 [BK21 IF 2]
- Zhen Zheng, Chanyoung Oh, Jidong Zhai*, Xipeng Shen, Youngmin Yi, Wenguang Chen, “HiWayLib: A Software Framework for Enabling High Performance Communications for Heterogeneous Pipeline Computations,” Proceedings of the 24th International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), Apr. 2019 [BK21 IF 4] [KIISE S]
2018
- Illo Yoon, Saehanseul Yi, Chanyoung Oh, Hyeonjin Jung, Youngmin Yi*, “Distributed Video Decoding on Hadoop,” IEICE Transactions on Information and Systems, vol E101.D, no 12, 2018 [SCI]
- Chanyoung Oh, Saehanseul Yi, Youngmin Yi*, “Energy Efficient Real-time Face Detection on CPU-GPU Heterogeneous Embedded Platforms,” IEICE Transactions on Information and Systems, vol E101.D, no 12, 2018 [SCI]
- Jintaek Kang, Kwanghyun Chung, Youngmin Yi*, Soonhoi Ha*, “NNsim: fast performance estimation based on sampled simulation of GPGPU kernels for neural networks,” Proceedings of 55th Annual Design Automation Conference (DAC), Jun. 2018 [BK21 IF 3] [KIISE S]
- Boram Kim, Chanyoung Oh, Youngmin Yi, Daehong Kim, “GPU-accelerated Boussinesq model using compute unified device architecture FORTRAN,” Journal of Coastal Research, May. 2018 [SCI]
2017
- Zhen Zheng, Chanyoung Oh, Jidong Zhai*, Xipeng Shen*, Youngmin Yi*, Wenguang Chen, “VersaPipe: A Versatile Programming Framework for Pipelined Computing on GPU,” The 50th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO-50), Oct. 2017 [BK21 IF 4] [KIISE S]
2016
- Seulki Bae, Youngmin Yi*, “Acceleration of word2vec using GPUs,” International Conference on Neural Information Processing (ICONIP), Oct. 2016
- Chanyoung Oh, Youngmin Yi*, “CPU-GPU² Heterogeneous Computing for Iterative Reconstruction in Computed Tomography,” IEIE Transactions on Smart Processing and Computing (SPC), vol.5, no.4, pp. 294-301, Aug. 2016
2015
- Youngsub Ko, Youngmin Yi, Joongbaik Kim, Soonhoi Ha, “Fast GPU-in-the-loop simulation technique at OpenGL ES API level for Android Graphics Applications“, IEEE International Symposium on Rapid System Prototyping (RSP), Oct. 2015
- Chanyoung Oh, Saehanseul Yi, Youngmin Yi*, “Real-time Face Detection in Full HD Images Exploiting both Embedded CPU and GPU,” IEEE International Conference on Multimedia and Expo (ICME), Jul. 2015
2014
- Saehanseul Yi, Illo Yoon, Chanyoung Oh, Youngmin Yi*, “Real-time Integrated Face Detection and Recognition on Embedded GPGPUs,” ACM/IEEE International Symposium on Embedded Systems for Real-Time Multimedia (ESTIMedia), Oct. 2014
- Youngsub Ko, Saehanseul Yi, Youngmin Yi, Myungsun Kim, Soonhoi Ha, “Hardware-in-the-loop Simulation of Android GPGPU Applications,” ACM/IEEE International Symposium on Embedded Systems for Real-Time Multimedia (ESTIMedia), Oct. 2014
- Youngsub Ko, Taeyoung Kim, Youngmin Yi, Myungsun Kim, Soonhoi Ha, “Hardware-in-the-loop Simulation for CPU/GPU Heterogeneous Platforms,” ACM/IEEE Design Automation Conference (DAC), Jun. 2014 [BK21 IF 3]
- Youngmin Yi*, Chao-Yue Lai, Slav Petrov, “Efficient Parallel CKY Parsing Using GPUs,” Journal of Logic and Computation (JLC) vol. 24, no. 2, pp. 375-393, Apr. 2014 [SCI]
- Youngsub Ko, Youngmin Yi*, Soonhoi Ha, “An Efficient Parallelization Technique for x264 Encoder on Heterogeneous Platforms Consisting of CPUs and GPUs,” Journal of Real-Time Image Processing (JRTIP) vol. 9, no. 1, pp. 5-18, Mar. 2014 [SCI]
- Saehanseul Yi, Youngsang Woo, Youngmin Yi*, “Energy and Performance Analysis of Mali GPU as a General Purpose GPU,” ACM High Performance Energy Efficient Embedded Systems (HIP3ES) workshop (co-located with HIPEAC), Jan. 2014
2013
- Sangyeun Cho, Chanik Park, Hyunok Oh, Sungchan Kim, Youngmin Yi, Gregory R Ganger, “Active Disk Meets Flash: A Case for Intelligent SSDs, ” ACM International Conference on Supercomputing (ICS), Jun. 2013 [BK21 IF 2]
- Youngsang Woo, Cheongyong Yi, Youngmin Yi*, “Fast PCA-based Face Recognition on GPUs,” International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May. 2013
2012
- Dukyoung Yun, Youngmin Yi, Sungchan Kim, Soonhoi Ha, “A Cycle-level Parallel Simulation Technique Exploiting both Space and Time Parallelism,” IEEE International Symposium on Rapid System Prototyping (RSP), Oct. 2012
- Hanwoong Jung, Youngmin Yi, Soonhoi Ha, “Automatic CUDA Code Synthesis Framework for Multicore CPU and GPU Architectures,” Hanwoong Jung, Youngmin Yi, Soonhoi Ha, International Conference on Parallel Processing and Applied Mathematics (PPAM), Jan. 2012
2011
- Youngsub Ko, Youngmin Yi, Soonhoi Ha, “An Efficient Parallel Motion Estimation Algorithm and x264 Parallelization in CUDA,” IEEE International Conference on Design and Architectures for Signal and Image Processing (DASIP), Nov. 2011
- Youngmin Yi*, Chao-Yue Lai, Slav Petrov, Kurt Keutzer, “Efficient Parallel CKY Parsing on GPUs,” SIGPARSE International Conference on Parsing Technologies (IWPT), Oct. 2011
Before 2010
- Kisun You*, Jike Chong, Youngmin Yi, Ekaterina Gonina, Christopher J Hughes, Yen-Kuang Chen, Wonyong Sung, Kurt Keutzer, “Parallel Scalability in Speech Recognition,” IEEE Signal Processing Magazine (SPM) vol. 26, no. 6, pp. 124-135, Nov. 2009 [SCI]
- Jike Chong, Ekaterina Gonina, Youngmin Yi, Kurt Keutzer, “A Fully Data-parallel WFST-based Large Vocabulary Continuous Speech Recognition on Graphics Processing Unit,” INTERSPEECH, Sep. 2009
- Jike Chong, Kisun You, Youngmin Yi, Ekaterina Gonina, Christopher Hughes, Wonyong Sung, Kurt Keutzer, “Scalable HMM based Inference Engine in Large Vocabulary Continuous Speech Recognition,” in Workshop on Multimedia Signal Processing and Novel Parallel Computing at International Conference on Multimedia and Expo (ICME), Jul. 2009 (Invited talk version of SPM 2009)
- Hoeseok Yang, Youngmin Yi, Soonhoi Ha, “A Timed HW/SW Coemulation Technique for Fast Yet Accurate System Verification,” in International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation (IC-SAMOS), Jul.20-23 2009
- Jike Chong, Youngmin Yi, Arlo Faria, Nadathur Satish, Kurt Keutzer, “Data-Parallel Large Vocabulary Continuous Speech Recognition on Graphics Processors,” International Workshop on Emerging Applications and many-core architecture (EAMA) at International Symposium on Computer Architectures (ISCA), Jun. 21 2008
- Youngmin Yi, Dohyung Kim, Soonhoi Ha, “Fast and Accurate Cosimulation of MPSoC Using Trace-driven Virtual Synchronization”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), Vol. 26, No. 12 Dec. 2007 [SCI]
- Soonhoi Ha*, Sungchan Kim, Choonseung Lee, Youngmin Yi, Seongnam Kwon, Young-Pyo Joo, “PeaCE: A Hardware-software Codesign Environment for Multimedia Embedded Systems.” ACM Transactions on Design Automation of Electronic Systems (TODAES), Vol.3, No.3 Aug. 2007 [SCI]
- Taewook Oh, Youngmin Yi, Soonhoi Ha, “Communication Architecture Simulation on the Virtual Synchronization Framework,” SAMOS Workshop, Jul. 16-19 2007
- Soonhoi Ha, Choonseung Lee, Youngmin Yi, Seongnam Kwon, Young-Pyo Joo, “Hardware-software Codesign of Multimedia Embedded Systems: the PeaCE Approach,” International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA), Aug. 16-18 2006
- Youngmin Yi, Dohyung Kim, Soonhoi Ha, “I/O Modeling and Refinement for HW/SW Codesign of Embedded Systems”, International SOC Design Conference (ISOCC), Oct. 20-21 2005
- Dohyung Kim, Youngmin Yi, Soonhoi Ha, “Trace-Driven HW/SW Cosimulation Using Virtual Synchronization Technique,” Proceedings of the 42nd Annual Design Automation Conference (DAC), Jun. 13-17 2005 [BK21 IF 3]
- Kiseun Kwon, Youngmin Yi, Dohyung Kim, Soonhoi Ha, “Embedded Software Generation from System Level Specification for Multi-Tasking Embedded Systems,” Asia and South Pacific Design Automation Conference (ASP-DAC), Jan. 18-21 2005
- Seongnam Kwon, Choonseung Lee, Sungchan Kim, Youngmin Yi, Soonhoi Ha, “Fast Design Space Exploration Framework with an Efficient Performance Estimation Technique,” International Workshop on Embedded Systems for Real-Time Multimedia (ESTIMedia), Sep. 6-7 2004
- Youngmin Yi, Dohyung Kim, Soonhoi Ha, “Fast and Time-Accurate Cosimulation with OS Scheduler Modeling,” Design Automation for Embedded Systems (DAES), Kluwer Academic Publishers Vol. 8, pp. 211-228, Sep.2003 [SCI]
- Youngmin Yi, Dohyung Kim, Soonhoi Ha, “Virtual Synchronization Technique with OS modeling for Fast and Time-accurate Cosimulation,” International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS), Oct. 1-3 2003 [BK21 IF 2]
- Dohyung Kim, Chae-Eun Rhee, Sungchan Kim, Youngmin Yi, Hyunuk Jung, Soonhoi Ha, “Virtual Synchronization for Fast Distributed Cosimulation of Dataflow Task Graphs,” International Symposium on Systems Synthesis (ISSS), Oct. 2-4 2002
[Domestic]
2023
- 이은경, 이영민, “ZeRO 최적화 기법을 고려한 트랜스포머 모델의 3차원 병렬적 분산딥러닝 통신 시간 예측(3D Parallel Distributed Deep Learning Communication Time Estimation of Transformer Model Considering ZeRO Optimization),” 한국정보과학회 2023 한국소프트웨어종합학술대회 논문집, Dec. 2022
- 황순열, 이영민, “태스크 및 파이프라인 병렬적 딥러닝을 사용한 GROVER의 효율적인 확장(Efficient Scaling of GROVER using Task- and Pipeline-parallel Deep Learning),” 한국정보과학회 2023 한국소프트웨어종합학술대회 논문집, Dec. 2023
- 전성재, 이영민, “효율적인 온-센서 추론을 위한 초소형 신경망 구조 자동 탐색 기법(Neural Architecture Search for Efficient On-Sensor Inference),” 한국정보과학회 2023 한국소프트웨어종합학술대회 논문집, Dec. 2023
- 김수민, 안태윤, 이영민, “데이터 재사용을 지원하는 HLS 기반 효율적인 합성곱 가속기의 설계 (HLS-based Efficient CNN Accelerator Design Supporting Data Reuse),” 정보과학회논문지 제50권 제2호 pp111 – 126, Feb. 2023
2022
- 오홍석, 이영민, “효율적인 파이프라인 모델 병렬적 딥러닝을 위한 분석적 모델링 기반 최적 분할 탐색 (Analytical Model-based Optimal Partitioning for Efficient Pipelined Model-parallel Deep Learning),” 한국정보과학회 한국소프트웨어종합학술대회 (KSC), Dec. 2022
- 황순열, 이은경, 이영민, “GROVER의 모델 병렬적 및 데이터 병렬적 딥러닝 (Model-parallel and Data-parallel Deep Learning of GROVER),” 한국정보과학회 한국소프트웨어종합학술대회 (KSC), Dec. 2022
- 신유리, 이은경, 이영민, “데이터 병렬적 딥러닝의 성능분석 (Performance Analysis of Data-parallel Deep Learning),” 한국정보과학회 한국소프트웨어종합학술대회 (KSC), Dec. 2022
- 박재선, 이영민, “Jetson AGX Xavier 보드에서 이기종 프로세서를 이용한 얼굴 검출 및 인식의 가속 (Acceleration of Face Detection and Recognition using Heterogeneous Processors in a Jetson AGX Xavier Board),” 한국정보과학회 Korea Computer Congress (KCC), Jun. 2022
2021
- 석종규, 이영민, “Micro-batch를 사용한 모델 병렬적 딥러닝의 성능 분석 (Performance Analysis of Model Parallel Deep Learning Using Micro-batch),” 한국정보과학회 한국소프트웨어종합학술대회 (KSC), Dec. 2021
2020
- 김도희, 이상헌, 정세환, 소준혁, 이영민, “CCTV영상에서 얼굴인식과 사람 재식별을 이용한 확진자 고속 검색 시스템 (Fast Confirmed Case Search System using Face Recognition and Person Re-identification in CCTV Video),” 한국정보과학회 한국소프트웨어종합학술대회 (KSC), Dec. 2020
2019
- 최재권, 김도희, 박경철, 이영민, “얼굴 객체 및 휴리스틱 알고리즘을 활용한 비디오 실시간 얼굴 인식 시스템 (Real-Time Video Face Recognition System Using Face Object and Heuristics),” 한국정보과학회 한국소프트웨어종합학술대회 (KSC), Dec. 2019
- 이재빈, 이영민, “윈도우 환경에서 GPU 기반 실시간 멀티채널 비디오 디코딩 및 렌더링 (Real-Time Multichannel Video Decoding and Rendering on a GPU in Windows),” 한국소프트웨어종합학술대회 (KSC), Dec. 2019
- 정현진, 윤정일, 정원식, 이영민, “GPU를 이용한 LF 영상 기반 VoI 이미지 재현의 가속 (GPU-based Acceleration of VoI Image Synthesis from LF Images),” 한국방송미디어공학회 하계학술대회, June. 2019
2018
- 박건주, 이경석, 정현진, 이영민, “스마트폰에서 CNN을 이용한 실시간 객체인식 (Rea-time Object Detection Using CNN on a Smartphone),” 한국정보과학회 한국소프트웨어종합학술대회 (KSC), Dec. 2018
- 정현진, 이영민, “하둡 클러스터에서 CPU와 GPU를 함께 이용한 얼굴검출 및 인식 (Face Detection and Recognition on Hadoop cluster utilizing both CPU and GPU),” 한국정보과학회 Korea Computer Congress (KCC), Jun. 2018
- 이택희, 박경철, 이영민, “임베디드 시스템에서 CPU와 GPU를 모두 이용한 CNN의 가속 (Acceleration of CNN using both CPU and GPU on Embedded Systems),” 한국정보과학회 Korea Computer Congress (KCC), Jun. 2018
- 박창규, 이영민, “Spark와 GPU를 이용한 word2vec의 가속 (Accelerating word2vec using Spark and GPU),” 한국정보과학회 Korea Computer Congress (KCC), Jun. 2018
- 박경철, 이영민, “GPGPU를 통한 F-HOG 기반의 얼굴 탐지 가속 (Acceleration of F-HOG based Face Detection on GPGPUs),” 한국정보과학회 Korea Computer Congress (KCC), Jun. 2018
2016
- 정현진, 오찬영, 윤일로, 이영민, “Hadoop과 GPU를 이용한 k-NN의 가속 (Accelerating k-NN using Hadoop and GPU),” 한국정보과학회 동계학술발표회, Dec. 2016
- 공민영, 김진성, 이영민, “ARM 멀티프로세서 시스템의 성능평가를 위한 디바이스 드라이버 및 가상 프로토타입의 설계와 구현 (Designing and Implementation of Device Drivers and a Virtual Prototype for the Performance Evaluation of ARM Multiprocessor System),” 한국정보과학회 동계학술발표회, Dec. 2016
2015
- 윤일로, 이새한슬, 이영민, “GPU 클러스터에서 하둡과 CUDA를 이용한 효율적인 얼굴 검출 및 인식 시스템 (Efficient Face Detection and Recognition System using Hadoop and CUDA on a GPU-cluster),” 한국정보과학회 Korea Computer Congress (KCC), Jun. 2015
- 배슬기, 신중우, 이영민, “GPU 클러스터와 Hadoop을 사용한 SURF 기반 객체인식기의 가속 (Acceleration of SURF-based Object Detection using Hadoop on a GPU Cluster),” 한국정보과학회 Korea Computer Congress (KCC), Jun. 2015
- 김태준, 이영민, “하둡 잡 히스토리 시각화 웹 응용의 설계 및 구현 (Design and Implementation of Web Application Visualizing Hadoop Job History),” 한국정보과학회 Korea Computer Congress (KCC), Jun. 2015
2014
- 오찬영, 이영민, “CPU-GPU 이기종 시스템에서 데이터 병렬성과 태스크 병렬성을 모두 활용한 얼굴 검출의 가속 (Accelerating Face Detection Exploiting both Task-Parallelism and Data-Parallelism on CPU-GPU Heterogeneous Systems), ” 한국정보과학회 동계학술발표회, Dec. 2014 (학부생 부문 우수상)
- 윤일로, 이영민, “얼굴의 위치 정보를 이용한 얼굴 인식 개선 알고리즘 (Enhanced Face Recognition Algorithm Using the Detected Face Information),” 한국정보과학회 동계학술발표회, Dec. 2014
- 윤일로, 이영민, “QuickEye: GPGPU를 활용한 실시간 얼굴 검출 및 인식 시스템 (QuickEye: Real-time Face Detection and Recognition using GPGPU),” 한국정보과학회 Korea Computer Congress (KCC), Jun. 2014
- 이새한슬, 이영민, “CPU-GPU 이기종 플랫폼에서 하둡 맵리듀스의 가속: CKY 파서 사례 분석 (Accelerating Hadoop MapReduce on CPU-GPU Heterogeneous Platforms: A Case Study with CKY Parser),” 정보과학회 논문지: 컴퓨팅의 실제 및 레터 20권 6호 pp. 329-338, Jun. 2014
2013
- 이새한슬, 우영상, 장병남, 이영민, “임베디드 GPU에서 OpenCL을 사용한 효율적인 지역적 이진 패턴 기반 얼굴인식 (Efficient Local Binary Pattern Based Face Recognition Using OpenCL on the Embedded GPU),” 정보과학회 논문지: 시스템 및 이론 40권 6호 pp. 257-265, Dec. 2013
- 우영상, 이새한슬, 이영민, “OpenCL을 이용한 LBPH 얼굴인식 가속 (Fast LBPH Based Face Recognition Using OpenCL),” 한국정보과학회 추계학술발표회, Nov. 2013
- 이영민, “CUDA를 이용한 PCA 기반 얼굴인식의 가속 (Acceleration of PCA based Face Recognition Using CUDA),” 정보과학회 논문지: 시스템 및 이론 제 40권 1호 pp. 8-13, Feb. 2013
2012
- 이청용, 이영민, “GPU를 통한 얼굴인식 가속화 (Fast Face Recognition on GPUs),” 한국정보과학회 Korea Computer Congress (KCC), Jun. 2012 (최우수 논문상)
[Patent]
- 딥 러닝 추론 성능 개선 방법, KR10-2021-0037000, Feb. 2024
- 딥 러닝 모델 학습 방법 및 학습기, KR10-2021-0049588, Mar. 2023
- Face recognition method and face recognition device, US11594073 B2, Feb. 2023
- 얼굴 인식 방법 및 얼굴 인식 장치 (Face recognition method and face recognition device), KR10-2177453, Nov. 2020
- 이기종 프로세싱 타입을 고려한 태스크 스케쥴링 방법 및 분산 처리 시스템 (Distributed processing system and task scheduling method considering heterogeneous processing type), KR10-1794696, Nov. 2017
- Face identifying method, face identifying apparatus and computer program for executing the method, US9633251, Apr. 2017
- 얼굴 식별 방법, 얼굴 식별 장치 및 이 방법을 실행시키는 컴퓨터 프로그램 (Face identifying method, face identifying apparatus and computer program for executing the method), KR10-1656373, Sep. 2016
- 이기종 프로세싱 타입을 고려한 맵리듀스 프로그램 모델의 수행 성능 향상 방법, 수행 성능 향상 장치 및 수행 성능 향상 시스템, KR10-1620896, May 2016
- 복수의 실행 유닛을 이용한 구문 분석 방법 및 구문 분석 장치, KR10-1382362, Apr. 2014
- Method and system for parallel statistical inference on highly parallel platforms, US8566259, Oct. 2013