Type | Year | Title | Cited | Download |
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Conference
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2024 | Tile Based Scalable K-Artificial Brain Processor for Large Neural Network Processing 여준기 대한전자공학회 학술 대회 (하계) 2024, pp.767-769 | ||
Conference
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2024 | Development of SoC to Accelerate 64/32bit Floating Point Matrix Calculation for Supercomputers 여준기 통신 정보 합동 학술 대회 (JCCI) 2024, pp.235-236 | ||
Conference
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2023 | Supercomputer SoC Design and Verification / FPGA Platform Development 여준기 대한전자공학회 학술 대회 (하계) 2023, pp.2732-2734 | ||
Conference
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2023 | Chiplet Heterogeneous-Integration AI Processor Youngsu Kwon International Conference on Electronics, Information and Communication (ICEIC) 2023, pp.1-2 | 6 | |
Journal
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2022 | A layer-wise frequency scaling for a neural processing unit Jaehoon Chung ETRI Journal, v.44, no.5, pp.849-858 | 1 | |
Conference
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2022 | ArtBrain-K: 4.8PetaFLOPS, 0.514TFLOPS/W AI Server System 한진호 반도체공학회 학술 대회 (하계) 2022, pp.7-8 | ||
Conference
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2022 | ArtBrain-K: AI Processor based-on 5-PetaFLOPS AI Server System Jinho Han International Conference on Artificial Intelligence Circuits and Systems (AICAS) 2022, pp.1-3 | 1 | |
Conference
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2022 | M3FPU: Multiformat Matrix Multiplication FPU Architectures for Neural Network Computations Won Jeon International Conference on Artificial Intelligence Circuits and Systems (AICAS) 2022, pp.150-153 | 2 | |
Conference
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2022 | AIWareK: Compiling PyTorch Model for AI Processor Using MLIR Framework Hyunjeong Kwon International Conference on Artificial Intelligence Circuits and Systems (AICAS) 2022, pp.463-465 | 0 | |
Conference
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2021 | Live Demonstration: A Neural Processor for AI Acceleration Hyeji Kim International Symposium on Circuits and Systems (ISCAS) 2021, pp.1-1 | 3 | |
Journal
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2021 | Trends of Compiler Development for AI Processor 김진규 전자통신동향분석, v.36, no.2, pp.32-42 | ||
Conference
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2020 | AI-Ware Expansion to support ONNX Models 여준기 한국소프트웨어 종합 학술 대회 2020, pp.621-623 | ||
Conference
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2020 | ONNX Model Opimization for Deep-Learning Accelerator 여준기 반도체공학회 학술 대회 2020, pp.1-1 | ||
Conference
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2020 | Automated optimization for memory-efficient high-performance deep neural network accelerators 김현미 대한전자공학회 학술 대회 (추계) 2020, pp.929-931 | ||
Conference
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2020 | AB9: a Neural Processor for Inference Acceleration 조용철 대한전자공학회 학술 대회 (추계) 2020, pp.926-928 | ||
Journal
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2020 | Automated Optimization for Memory-efficient High-performance Deep Neural Network Accelerators HyunMi Kim ETRI Journal, v.42, no.4, pp.505-517 | 7 | |
Journal
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2020 | AB9: A Neural Processor for Inference Acceleration Yong Cheol Peter Cho ETRI Journal, v.42, no.4, pp.491-504 | 7 | |
Conference
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2019 | Implementation of Server-Mode AI-Ware for Deep Learning Accelerator 여준기 한국인공지능학회 인공지능/블록체인 학회 합동 학술 대회 (추계) 2019, pp.1-2 | ||
Conference
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2019 | AI 32TFLOPS Autonomous Driving Processor on AI-Ware with Adaptive Power Saving Youngsu Kwon International SoC Design Conference (ISOCC) 2019, pp.174-175 | ||
Conference
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2019 | Implementation of Yolo-v2 Image Recognition and Other Testbenches for a CNN Accelerator Chan Kim International Conference on Consumer Electronics (ICCE) 2019 : Berlin, pp.242-247 | 8 | |
Conference
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2019 | Function-Safe Vehicular AI Processor with Nano Core-In-Memory Architecture Youngsu Kwon International Conference on Artificial Intelligence Circuits and Systems (AICAS) 2019, pp.127-131 | 12 |