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Kwon Yongin
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Intelligent Devices & Simulation Research Section
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논문 검색결과
Type Year Title Cited Download
Conference
2024 LLMem: Estimating GPU Memory Usage for Fine-Tuning Pre-Trained LLMs   Taeho Kim  International Joint Conference on Artificial Intelligence (IJCAI) 2024, pp.6324-6332
Conference
2024 Visual Preference Inference: An Image Sequence-Based Preference Reasoning in Tabletop Object Manipulation   Joonhyung Lee  International Conference on Robotics and Automation (ICRA) 2024 : Workshop, pp.1-5
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.권호미정, pp.1-14 0
Journal
2024 Performance Analysis of Deep Learning Accelerator for Edge Inference   박시형  전자공학회논문지, v.61, no.1, pp.23-26
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 Design and Verification of a Common Interface for Proprietary NPU Code Generation in General-Purpose AI Compilers   이제민   전자공학회논문지, v.60, no.10, pp.29-32
Journal
2023 Profile-based Optimization for Deep Learning on Heterogeneous Multi-core CPUs   차주형  전자공학회논문지, v.60, no.7, pp.40-49
Journal
2023 Tensor slicing and optimization for multicore NPUs   Rafael Sousa  Journal of Parallel and Distributed Computing, v.175, pp.66-79 2
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 0
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
2022 Profiling-based ArmCL Optimal Schedule Search for Single-ISA Heterogeneous Multi-Core Architectures   차주형  대한전자공학회 학술 대회 (추계) 2022, pp.300-304
Conference
2022 CPrune: Compiler-Informed Model Pruning for Efficient Target-Aware DNN Execution   Taeho Kim  European Conference on Computer Vision (ECCV) 2022 (LNCS 13680), pp.651-667 2
Journal
2022 Quantune: Post-training Quantization of Convolutional Neural Networks using Extreme Gradient Boosting for Fast Deployment   Jemin Lee   Future Generation Computer Systems, v.132, pp.124-135 11
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 Mixed-Precision Quantization via Glow Compiler Extension   이제민   대한임베디드공학회 학술 대회 (추계) 2021, pp.205-207
Conference
2021 Development of Scalable HLS based Deep Learning Accelerator   권용인   대한임베디드공학회 학술 대회 (추계) 2021, pp.247-249
Conference
2020 Accuracy Improvement of Quantized Neural Network Model Based on Operator Fusion for NPU   이제민   대한임베디드공학회 학술 대회 (추계) 2020, pp.1-4
Conference
2020 Performance Improvement by Extending ISA of a HLS Based Deep Learning Accelerator   권용인   IEMEK Symposium on Embedded Technology (ISET) 2020, pp.46-49
Conference
2020 Accelerating the Inference of CNN using Target-Independent Operator Fusion based on the Glow Compiler   이제민   IEMEK Symposium on Embedded Technology (ISET) 2020, pp.64-66
Conference
2020 Tiling and Scheduling: Machine code optimization for deep learning accelerators   권용인   한국 컴퓨터 종합 학술 대회 2020, pp.1-3
Conference
2020 Accelerating Object Detection for CPU using the Glow Compiler   이제민   한국 컴퓨터 종합 학술 대회 2020, pp.212-214
Conference
2020 An Automatic C/C++ code Generation Framework for Deep Neural Network Deployment on Embedded Devices   유미선   한국 컴퓨터 종합 학술 대회 2020, pp.691-693
Conference
2020 Profiling-based Graph Partitioning System for Multi-accelerator Deep Learning Compilers   유미선   IEMEK Symposium on Embedded Technology (ISET) 2020, pp.67-70