Difference between revisions of "AMGCC21 Program"

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(Workshop Program | Workshop Main Page)
(Workshop Program | Workshop Main Page)
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* '''Date''': September 27 (Monday), 2021
 
* '''Date''': September 27 (Monday), 2021
 
* '''Time''': 10:00 AM - 01:40 PM
 
* '''Time''': 10:00 AM - 01:40 PM
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 +
This workshop features oral presentations of 8 full papers.
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 +
{| class="wikitable"
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|-
 +
! Time
 +
! Title
 +
! Authors
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! Session Chair
 +
 +
|- align="center"
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| width="10%"| 10:00 - 10:15
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| colspan="3" align="center"| Welcome Remarks by AMGCC workshop organizers
 +
 +
|- align="center"
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| 10:20 - 10:40
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| Towards Scalable Manycore-aware Persistent B+-Tree for Efficient Indexing in Cloud Environment
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| Safdar Jamil, Awais Khan, Burgstaller Bernd and Youngjae Kim
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| rowspan="4"| Yongseok Son
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|- align="center"
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| 10:30 - 10:50
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| An adaptive page replacement scheme for scientific applications
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| Yunjae Lee, Heon Y. Yeom and Hyuck Han
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 +
|- align="center"
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| 10:50 - 11:10
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| Hyperparameter Optimization for Deep Residual Learning in Image Classification
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| Abbas Jafar and Lee Myungho
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|- align="center"
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| 11:10 - 11:30
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| Toward Interference-aware GPU Container Co-scheduling Learning from Application Profiles
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| Sejin Kim and Yoonhee Kim
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|- align="center"
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| 11:30 - 12:00
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| colspan="3" align="center"| Break
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|- align="center"
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| 12:00 - 12:20
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| Improving performance of Parallel Matrix Multiplication Routine on Intel KNL and Xeon Scalable Processors
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| Thi My Tuyen Nguyen, Yoosang Park, Raehyun Kim and Jaeyoung Choi
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| rowspan="5"| Kyongyong Lee
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|- align="center"
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| 12:20 - 12:40
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| An Efficient and Parallel Bad Block Checker for Parallelism of Storage Devices
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| Jaehyun Han, Guangyu Zhu, Eunseo Lee and Yongseok Son
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|- align="center"
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| 12:40 - 13:00
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| Empirical Analysis of the I/O Characteristics of a Highly Integrated Many-Core Processor
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| Cheongjun Lee, Jaehwan Lee, Donghun Koo, Chungyong Kim, Jiwoo Bang, Eun-Kyu Byun and Hyeonsang Eom
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 +
|- align="center"
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| 13:00 - 13:20
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| SW Runtime Estimation using Automata Theory and Deep Learning on HPC
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| Hyunjoon Cheon, Jinseung Ryu, Chan Yeol Park and Yo-Sub Han
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 +
|- align="center"
 +
| 13:20 - 13:40
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| An Energy-Efficient Service Scheduling Algorithm in Federated Edge Cloud
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| Yeonwoo Jeong, Esrat Maria and Sungyong Park
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|- align="center"
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| 13:40 - 13:50
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| colspan="3" align="center"| Closing Remarks
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|}

Revision as of 06:03, 17 August 2021

Accepted Papers | Workshop Main Page

  • Towards Scalable Manycore-aware Persistent B+-Tree for Efficient Indexing in Cloud Environment
    Safdar Jamil (Sogang Univeristy), Awais Khan (Sogang Univeristy), Burgstaller Bernd (Yeonsei Univeristy) and Youngjae Kim (Sogang Univeristy)
  • An Efficient VM Scheduling Framework for Interactive Streaming Service
    Jongbeen Han (Seoul National University), Minwook Lee (Chung-Ang University), Chanho Choi (OLIM PLANET Inc.), Yongseok Son (Chung-Ang University) and Hyeonsang Eom (Seoul National University)
  • Is Data Migration Evil in the File System?
    Jungwook Han (Sogang Univeristy), Hongsoo Byun (Sogang Univeristy), Hyeongjoon Kown (Sogang Univeristy), Sungyong Park (Sogang Univeristy) and Youngjae Kim (Sogang Univeristy)
  • Development of QoS-aware agents with reinforcement learning for autoscaling of microservices on the cloud
    Abeer Abdel Khaleq (University of Colorado - Denver) and Ilkyeun Ra (University of Colorado - Denver)
  • Data Separation Scheme on Lustre Metadata Server based on Multi-stream SSD
    Cheongjun Lee (Korea Aerospace University), Jaehwan Lee (Korea Aerospace University), Chungyong Kim (Seoul National University), Jiwoo Bang (Seoul National University), Eun-Kyu Byun (Korea Institute of Science and Technology Information) and Hyeonsang Eom (Seoul National University)
  • Q-Spark: QoS Aware Micro-batch Stream Processing System Using Spark
    Suyeon Lee (Sogang Univeristy), Yeonwoo Jeong (Sogang Univeristy), Minwoo Kim (Sogang Univeristy) and Sungyong Park (Sogang Univeristy)
  • MeLoN: Distributed Deep Learning meets the Big Data Platform
    Dae-Cheol Kang (Myongji University), Seoungbeom Heo (Myongji University), Hyeounji Jang (Myongji University), Hyeock-Jin Lee (Myongji University), Minkyoung Cho (Myongji University) and Jik-Soo Kim (Myongji University)
  • Implementing CUDA Unified Memory in the PyTorch Framework
    Jake Choi (Seoul National University), Heon Young Yeom (Seoul National University) and Yoonhee Kim (Sookmyung Woman's University)

Workshop Program | Workshop Main Page

  • Date: September 27 (Monday), 2021
  • Time: 10:00 AM - 01:40 PM

This workshop features oral presentations of 8 full papers.

Time Title Authors Session Chair
10:00 - 10:15 Welcome Remarks by AMGCC workshop organizers
10:20 - 10:40 Towards Scalable Manycore-aware Persistent B+-Tree for Efficient Indexing in Cloud Environment Safdar Jamil, Awais Khan, Burgstaller Bernd and Youngjae Kim Yongseok Son
10:30 - 10:50 An adaptive page replacement scheme for scientific applications Yunjae Lee, Heon Y. Yeom and Hyuck Han
10:50 - 11:10 Hyperparameter Optimization for Deep Residual Learning in Image Classification Abbas Jafar and Lee Myungho
11:10 - 11:30 Toward Interference-aware GPU Container Co-scheduling Learning from Application Profiles Sejin Kim and Yoonhee Kim
11:30 - 12:00 Break
12:00 - 12:20 Improving performance of Parallel Matrix Multiplication Routine on Intel KNL and Xeon Scalable Processors Thi My Tuyen Nguyen, Yoosang Park, Raehyun Kim and Jaeyoung Choi Kyongyong Lee
12:20 - 12:40 An Efficient and Parallel Bad Block Checker for Parallelism of Storage Devices Jaehyun Han, Guangyu Zhu, Eunseo Lee and Yongseok Son
12:40 - 13:00 Empirical Analysis of the I/O Characteristics of a Highly Integrated Many-Core Processor Cheongjun Lee, Jaehwan Lee, Donghun Koo, Chungyong Kim, Jiwoo Bang, Eun-Kyu Byun and Hyeonsang Eom
13:00 - 13:20 SW Runtime Estimation using Automata Theory and Deep Learning on HPC Hyunjoon Cheon, Jinseung Ryu, Chan Yeol Park and Yo-Sub Han
13:20 - 13:40 An Energy-Efficient Service Scheduling Algorithm in Federated Edge Cloud Yeonwoo Jeong, Esrat Maria and Sungyong Park
13:40 - 13:50 Closing Remarks