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전체 가 나 다 라 마 바 사 아 자 차 카 타 파 하

Showing results 1 to 14 of 14

Thesis
A deep learning method for chamber enlargement diagnosis
  • Keonwoo Noh
  • 2021
  • Keonwoo Noh. (2021). A deep learning method for chamber enlargement diagnosis. doi: 10.22677/thesis.200000366283
  • DGIST
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Thesis
A Fast and Elastic Distributed Matrix Computation Engine using GPUs
  • Donghyoung Han
  • 2021
  • Donghyoung Han. (2021). A Fast and Elastic Distributed Matrix Computation Engine using GPUs. doi: 10.22677/thesis.200000364466
  • DGIST
  • View : 269
  • Download : 0
Thesis
A Fast Distributed HyperLedger Fabric using Adaptive State Synchronization
  • Juyeong Jeong
  • 2022
  • Juyeong Jeong. (2022). A Fast Distributed HyperLedger Fabric using Adaptive State Synchronization. doi: 10.22677/thesis.200000592087
  • DGIST
  • View : 359
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Thesis
Aggressive Interrupt Throttling for low latency in Data Center Servers
  • Park Hyungwon
  • 2019
  • Park Hyungwon. (2019). Aggressive Interrupt Throttling for low latency in Data Center Servers. doi: 10.22686/thesis.200000171477
  • DGIST
  • View : 520
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An Effective and Efficient Method for Tweaking Deep Neural Networks

Thesis
An Effective and Efficient Method for Tweaking Deep Neural Networks
  • Jinwook Kim
  • 2021
  • Jinwook Kim. (2021). An Effective and Efficient Method for Tweaking Deep Neural Networks. doi: 10.22677/thesis.200000497154
  • DGIST
  • View : 295
  • Download : 123
Thesis
Dynamic Core Allocation for Latency-Critical Workloads in Data-Center Servers
  • Gyeongseo Park
  • 2024
  • Gyeongseo Park. (2024). Dynamic Core Allocation for Latency-Critical Workloads in Data-Center Servers. doi: 10.22677/THESIS.200000798061
  • DGIST
  • View : 219
  • Download : 0
Thesis
Exploiting OS-level Page Offlining for DRAM Power Management
  • Seunghak Lee
  • 2019
  • Seunghak Lee. (2019). Exploiting OS-level Page Offlining for DRAM Power Management. doi: 10.22694/thesis.200000171481
  • DGIST
  • View : 655
  • Download : 0
Thesis
Exploiting the Intermediate Layers of Convolutional Neural Networks for Medical Deep Learning
  • Hyun-Lim Yang
  • 2021
  • Hyun-Lim Yang. (2021). Exploiting the Intermediate Layers of Convolutional Neural Networks for Medical Deep Learning. doi: 10.22677/thesis.200000362649
  • DGIST
  • View : 308
  • Download : 0
Thesis
GPrimer: a fast GPU-based pipeline for primer design for qPCR experiments
  • Jeongmin Bae
  • 2021
  • Jeongmin Bae. (2021). GPrimer: a fast GPU-based pipeline for primer design for qPCR experiments. doi: 10.22677/thesis.200000362726
  • DGIST
  • View : 219
  • Download : 0
Thesis
HW/SW design to prevent the bit-flip by Row Hammering in DRAM
  • Seunghak Lee
  • 2024
  • Seunghak Lee. (2024). HW/SW design to prevent the bit-flip by Row Hammering in DRAM. doi: 10.22677/THESIS.200000723486
  • DGIST
  • View : 149
  • Download : 0
Thesis
Memory Sharing-based Co-scheduling for Improving Cache efficiency of SMP Virtual Machines
  • Minjun Hong
  • 2019
  • Minjun Hong. (2019). Memory Sharing-based Co-scheduling for Improving Cache efficiency of SMP Virtual Machines. doi: 10.22697/thesis.200000171470
  • DGIST
  • View : 578
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Thesis
Page Scanning Techniques for Efficient Hotness Tracking in Tiered Memory Systems
  • Kim Heesoo
  • 2024
  • Kim Heesoo. (2024). Page Scanning Techniques for Efficient Hotness Tracking in Tiered Memory Systems. doi: 10.22677/THESIS.200000723697
  • DGIST
  • View : 124
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Thesis
Power Management for Energy-Efficient Computing Environments in Data Centers
  • Ki-Dong Kang
  • 2022
  • Ki-Dong Kang. (2022). Power Management for Energy-Efficient Computing Environments in Data Centers. doi: 10.22677/thesis.200000593442
  • DGIST
  • View : 303
  • Download : 0
Thesis
SSD-Insider++: SSD-Assisted RaMasteromware Defense and Data Recovery
  • Youngdon Jung
  • 2019
  • Youngdon Jung. (2019). SSD-Insider++: SSD-Assisted RaMasteromware Defense and Data Recovery. doi: 10.22677/thesis.200000219670
  • DGIST
  • View : 570
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