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Jeman Park
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On-Device System Software Research Section
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KSP Keywords
Tuning TimeEdge ComputingMobile DevicesHybrid VisionMulti-AccessHybrid TransformerLinear ComplexityExecution TimeDeep Neural Network(DNN)Resource-ConstrainedArtificial IntelligenceMobile Edge PlatformNeural ProcessingHighly DynamicModel ParameterScheduling TechniqueDeep Learning ModelsMobile PlatformConvolution Neural Network(CNN)Optimal KernelQuantization MethodHeterogeneous Computing SystemsConstrained SystemsScheduling PlansEmbedded SystemIot SystemsParallel CodesMachine Code
논문 검색결과
Type Year Title Cited Download
Conference
 2025 Dynamic Layer-Specific Overlapping for Efficient LLM Inference on Resource-Constrained Systems   Misun Yu   International Symposium on Code Generation and Optimization (CGO) 2025, pp.1-3
Journal
 2024 Q-HyViT: Post-Training Quantization of Hybrid Vision Transformers with Bridge Block Reconstruction for IoT Systems   Jemin Lee   IEEE Internet of Things Journal, v.11, no.22, pp.36384-36396 2
Journal
 2024 NEST-C: A deep learning compiler framework for heterogeneous computing systems with artificial intelligence accelerators   Jeman Park   ETRI Journal, v.46, no.5, pp.851-864 1
Conference
 2023 ACLTuner: A Profiling-Driven Fast Tuning to Optimized Deep Learning Inference   Yongin Kwon   Conference on Neural Information Processing Systems (NeurIPS) 2023 : Workshop, pp.1-12
Journal
 2023 PartitionTuner: An operator scheduler for deep‐learning compilers supporting multiple heterogeneous processing units   Misun Yu   ETRI Journal, v.45, no.2, pp.318-328 1
Conference
 2023 A Study on the Performance Improvement of Korean Math Word Problem Solving Using Labeled-Edge Information   여상엽   한국통신학회 종합 학술 발표회 (동계) 2023, pp.1063-1064
Conference
 2023 A Study on Scheduler for High Throughput in Heterogeneous Computing and Multiple Deep Learning Models   차주형   한국통신학회 종합 학술 발표회 (동계) 2023, pp.1071-1072
Conference
 2021 Performance Improvement of Neural-net Computation using Branch-Parallel Execution on Heterogeneous Processing Units   유미선   대한임베디드공학회 학술 대회 (추계) 2021, pp.257-260
Conference
 2021 Development of Scalable HLS based Deep Learning Accelerator   권용인   대한임베디드공학회 학술 대회 (추계) 2021, pp.247-249
Conference
 2021 Mixed-Precision Quantization via Glow Compiler Extension   이제민   대한임베디드공학회 학술 대회 (추계) 2021, pp.205-207
Conference
 2020 Smart Factory PoC based on Manufacturing Virtualization Edge System   전형국   대한임베디드공학회 학술 대회 (추계) 2020, pp.179-182
Journal
 2020 Mobile service and performance evaluation factors for MEC   박제만   OSIA S&TR Journal, v.33, no.2, pp.11-16
Conference
 2019 SmartFactory Edge System based on Multi-Access Edge Computing Framework   전형국   한국통신학회 종합 학술 발표회 (추계) 2019, pp.299-300
Conference
 2019 Mobile Edge Platform based on Virtualization for 5G   Hyung Kook Jun   IEMEK Symposium on Embedded Technology (ISET) 2019, pp.30-31
Conference
 2019 A Smart Manufacturing System using Multi-access Edge Computing   Jeman Park   IEMEK Symposium on Embedded Technology (ISET) 2019, pp.87-88
Journal
 2018 MEC technology for 5G network   박제만   정보와 통신 : 한국통신학회지, v.35, no.11, pp.3-10
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