DGIST Scholar: 궁재하

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궁재하(Kung, Jaeha)

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Department: 전기전자컴퓨터공학과

Affiliated Community: Intelligent Digital Systems Lab

Research Interests: 딥러닝; 가속하드웨어; 저전력 하드웨어; 고성능 시스템

Website: https://idslab.dgist.ac.kr/

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Issue Date	Title Author(s) Journal	View
2022-09	Implication of Optimizing NPU Dataflows on Neural Architecture Search for Mobile Devices Lee, Jooyeon ; Park, Junsang ; Lee, Seunghyun ; Kung, Jaeha	14
2022-07	AutoRelax: HW-SW Co-Optimization for Efficient SpGEMM Operations with Automated Relaxation in Deep Learning Park, Sehun ; Kim, Jae-joon ; Kung, Jaeha IEEE Transactions on Emerging Topics in Computing, v.10, no.3, pp.1428 - 1442	185
2022-03	A 46-nF/10-M omega Range 114-aF/0.37-omega Resolution Parasitic- and Temperature-Insensitive Reconfigurable RC-to-Digital Converter in 0.18-mu m CMOS George, Arup Kocheethra ; Shim, Wooyoon ; Kung, Jaeha ; Kim, Ji-Hoon ; Je, Minkyu ; Lee, Junghyup	166
2021-11	High-throughput Near-Memory Processing on CNNs with 3D HBM-like Memory Park, Naebeom ; Ryu, Sungju ; Kung, Jaeha ; Kim, Jae-Joon	152
2021-07	Design and Analysis of Approximate Compressors for Balanced Error Accumulation in MAC Operator Park, Gunho ; Kung, Jaeha ; Lee, Youngjoo	180
2021-01	Deep Partitioned Training from Near-Storage Computing to DNN Accelerators Jang, Yongjoo ; Kim, Sejin ; Kim, Daehoon ; Lee, Sungjin ; Kung, Jaeha	184
2020-09	Defending Against Flush+Reload Attack With DRAM Cache by Bypassing Shared SRAM Cache Jang, Minwoo ; Lee, Seungkyu ; Kung, Jaeha ; Kim, Daehoon	453
2020-09	Balancing Computation Loads and Optimizing Input Vector Loading in LSTM Accelerators Park, Junki ; Yi, Wooseok ; Ahn, Daehyun ; Kung, Jaeha ; Kim, Jae-Joon	321
2020-05	Towards Scalable Analytics with Inference-Enabled Solid-State Drives Kim, Minsub ; Kung, Jaeha ; Lee, Sungjin	491

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