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Energy-Efficient and Timeliness-Aware Continual Learning Management System

Energies (Basel), 2023-12, Vol.16 (24), p.8018

Kang, Dong-Ki

2023

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Cost Efficient GPU Cluster Management for Training and Inference of Deep Learning

Energies (Basel), 2022-01, Vol.15 (2), p.474

2022

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Cooperative Distributed GPU Power Capping for Deep Learning Clusters

IEEE transactions on industrial electronics (1982), 2022-07, Vol.69 (7), p.7244-7254

2022

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Deep Reinforcement Learning Based Optimal Route and Charging Station Selection

Energies (Basel), 2020-11, Vol.13 (23), p.6255

2020

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Energy Demand Load Forecasting for Electric Vehicle Charging Stations Network based on ConvLSTM and BiConvLSTM Architectures

IEEE access, 2023-01, Vol.11, p.1-1

2023

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Renewable-Aware Frequency Scaling Approach for Energy-Efficient Deep Learning Clusters

Applied sciences, 2024-01, Vol.14 (2), p.776

2024

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BOA: batch orchestration algorithm for straggler mitigation of distributed DL training in heterogeneous GPU cluster

The Journal of supercomputing, 2020, Vol.76 (1), p.47-67

2020

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NoHammer: Preventing Row Hammer With Last-Level Cache Management

IEEE computer architecture letters, 2023-07, Vol.22 (2), p.157-160

2023

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Real-Time Control for Power Cost Efficient Deep Learning Processing With Renewable Generation

IEEE access, 2019, Vol.7, p.114909-114922

2019

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Co-Adjusting Voltage/Frequency State and Interrupt Rate for Improving Energy-Efficiency of Latency-Critical Applications

IEEE access, 2020, Vol.8, p.201028-201039

2020

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Network Packet Processing Mode-Aware Power Management for Data Center Servers

IEEE computer architecture letters, 2020-01, Vol.19 (1), p.1-4

2020

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IDIO: Orchestrating Inbound Network Data on Server Processors

IEEE computer architecture letters, 2021-01, Vol.20 (1), p.30-33

2021

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Energy and QoS aware resource allocation for heterogeneous sustainable cloud datacenters

Optical switching and networking, 2017-01, Vol.23, p.225-240

2017

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Deep Learning-Based Sustainable Data Center Energy Cost Minimization With Temporal MACRO/MICRO Scale Management

IEEE access, 2019, Vol.7, p.5477-5491

2019

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A Science Gateway Cloud With Cost-Adaptive VM Management for Computational Science and Applications

IEEE systems journal, 2017-03, Vol.11 (1), p.173-185

2017

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CoreNap: Energy Efficient Core Allocation for Latency-Critical Workloads

IEEE computer architecture letters, 2023-01, Vol.22 (1), p.1-4

2023

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Improving the Efficiency of Power Management via Dynamic Interrupt Management

2020 IEEE 38th International Conference on Computer Design (ICCD), 2020, p.377-380

2020

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GreenDIMM: OS-assisted DRAM Power Management for DRAM with a Sub-array Granularity Power-Down State

MICRO-54: 54th Annual IEEE/ACM International Symposium on Microarchitecture, 2021, p.131-142

2021

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Cost Adaptive VM Management for Scientific Workflow Application in Mobile Cloud

Mobile networks and applications, 2015-06, Vol.20 (3), p.328-336

2015

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Adaptive VM Management with Two Phase Power Consumption Cost Models in Cloud Datacenter

Mobile networks and applications, 2016-10, Vol.21 (5), p.793-805

2016

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Reduced Tomato Bacterial Wilt by Ferrous Chloride Application

Sigmulbyeong yeon'gu, 2023-03, Vol.29 (1), p.82-87

2023

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An Attack-Resilient Source Authentication Protocol in Controller Area Network

2017 ACM/IEEE Symposium on Architectures for Networking and Communications Systems (ANCS), 2017, p.109-118

2017

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Investigation and control of an outbreak of imipenem-resistant Acinetobacter baumannii Infection in a Pediatric Intensive Care Unit

The Pediatric infectious disease journal, 2012-07, Vol.31 (7), p.685-690

2012

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The Implementation of intervention program based on WHO multi-modal hand hygiene improvement strategy in a tertiary care university hospital

American journal of infection control, 2015-06, Vol.43 (6), p.S61-S62

2015

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Dynamic Virtual Machine Consolidation for Energy Efficient Cloud Data Centers

Cloud Computing, 2016, p.70-80

2016

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Energy-Efficient and Timeliness-Aware Continual Learning Management System

Cost Efficient GPU Cluster Management for Training and Inference of Deep Learning

Cooperative Distributed GPU Power Capping for Deep Learning Clusters

Deep Reinforcement Learning Based Optimal Route and Charging Station Selection

Energy Demand Load Forecasting for Electric Vehicle Charging Stations Network based on ConvLSTM and BiConvLSTM Architectures

Renewable-Aware Frequency Scaling Approach for Energy-Efficient Deep Learning Clusters

BOA: batch orchestration algorithm for straggler mitigation of distributed DL training in heterogeneous GPU cluster

NoHammer: Preventing Row Hammer With Last-Level Cache Management

Real-Time Control for Power Cost Efficient Deep Learning Processing With Renewable Generation

Co-Adjusting Voltage/Frequency State and Interrupt Rate for Improving Energy-Efficiency of Latency-Critical Applications

Network Packet Processing Mode-Aware Power Management for Data Center Servers

IDIO: Orchestrating Inbound Network Data on Server Processors

Energy and QoS aware resource allocation for heterogeneous sustainable cloud datacenters

Deep Learning-Based Sustainable Data Center Energy Cost Minimization With Temporal MACRO/MICRO Scale Management

A Science Gateway Cloud With Cost-Adaptive VM Management for Computational Science and Applications

CoreNap: Energy Efficient Core Allocation for Latency-Critical Workloads

Improving the Efficiency of Power Management via Dynamic Interrupt Management

GreenDIMM: OS-assisted DRAM Power Management for DRAM with a Sub-array Granularity Power-Down State

Cost Adaptive VM Management for Scientific Workflow Application in Mobile Cloud

Adaptive VM Management with Two Phase Power Consumption Cost Models in Cloud Datacenter

Reduced Tomato Bacterial Wilt by Ferrous Chloride Application

An Attack-Resilient Source Authentication Protocol in Controller Area Network

Investigation and control of an outbreak of imipenem-resistant Acinetobacter baumannii Infection in a Pediatric Intensive Care Unit

The Implementation of intervention program based on WHO multi-modal hand hygiene improvement strategy in a tertiary care university hospital

Dynamic Virtual Machine Consolidation for Energy Efficient Cloud Data Centers

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