Difference between revisions of "AMGCC21 Program"
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(→Workshop Program | Workshop Main Page) |
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* '''Date''': September 27 (Monday), 2021 | * '''Date''': September 27 (Monday), 2021 | ||
| − | * '''Time''': 10:00 AM - | + | * '''Time''': 10:00 AM - 13:20 PM (EST) |
This workshop features oral presentations of 8 full papers. | This workshop features oral presentations of 8 full papers. | ||
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{| class="wikitable" | {| class="wikitable" | ||
|- | |- | ||
| − | ! Time | + | ! Time (EST) |
! Title | ! Title | ||
! Authors | ! Authors | ||
| Line 27: | Line 27: | ||
|- align="center" | |- align="center" | ||
| − | | width="10%"| 10:00 - 10: | + | | width="10%"| 10:00 - 10:10 |
| − | | colspan="3" align="center"| Welcome Remarks by AMGCC workshop organizers | + | | colspan="3" align="center"| '''Welcome Remarks by AMGCC workshop organizers''' |
|- align="center" | |- align="center" | ||
| − | | 10: | + | | colspan="4" align="center"| '''Session 1: Big Data in Cloud''' |
| + | |||
| + | |- align="center" | ||
| + | | 10:10 - 10:30 | ||
| Towards Scalable Manycore-aware Persistent B+-Tree for Efficient Indexing in Cloud Environment | | Towards Scalable Manycore-aware Persistent B+-Tree for Efficient Indexing in Cloud Environment | ||
| Safdar Jamil, Awais Khan, Burgstaller Bernd and Youngjae Kim | | Safdar Jamil, Awais Khan, Burgstaller Bernd and Youngjae Kim | ||
| − | | rowspan="4"| | + | | rowspan="4"| Awais Khan |
|- align="center" | |- align="center" | ||
| − | | 10: | + | | 10:30 - 10:50 |
| MeLoN: Distributed Deep Learning meets the Big Data Platform | | MeLoN: Distributed Deep Learning meets the Big Data Platform | ||
| Dae-Cheol Kang, Seoungbeom Heo, Hyeounji Jang, Hyeock-Jin Lee, Minkyoung Cho and Jik-Soo Kim | | Dae-Cheol Kang, Seoungbeom Heo, Hyeounji Jang, Hyeock-Jin Lee, Minkyoung Cho and Jik-Soo Kim | ||
|- align="center" | |- align="center" | ||
| − | | | + | | 10:50 - 11:10 |
| Development of QoS-aware agents with reinforcement learning for autoscaling of microservices on the cloud | | Development of QoS-aware agents with reinforcement learning for autoscaling of microservices on the cloud | ||
| Abeer Abdel Khaleq and Ilkyeun Ra | | Abeer Abdel Khaleq and Ilkyeun Ra | ||
|- align="center" | |- align="center" | ||
| − | | 11: | + | | 11:10 - 11:30 |
| Q-Spark: QoS Aware Micro-batch Stream Processing System Using Spark | | Q-Spark: QoS Aware Micro-batch Stream Processing System Using Spark | ||
| Suyeon Lee, Yeonwoo Jeong, Minwoo Kim and Sungyong Park | | Suyeon Lee, Yeonwoo Jeong, Minwoo Kim and Sungyong Park | ||
|- align="center" | |- align="center" | ||
| − | | 11: | + | | 11:30 - 11:50 |
| − | | colspan="3" align="center"| Break | + | | colspan="3" align="center"| '''Break''' |
|- align="center" | |- align="center" | ||
| − | | | + | | colspan="4" align="center"| '''Session 2: Virtualization and File Systems''' |
| + | |||
| + | |- align="center" | ||
| + | | 11:50 - 12:10 | ||
| An Efficient VM Scheduling Framework for Interactive Streaming Service | | An Efficient VM Scheduling Framework for Interactive Streaming Service | ||
| Jongbeen Han, Minwook Lee, Chanho Choi, Yongseok Son and Hyeonsang Eom | | Jongbeen Han, Minwook Lee, Chanho Choi, Yongseok Son and Hyeonsang Eom | ||
| − | | rowspan="4"| | + | | rowspan="4"| Jik-Soo Kim |
|- align="center" | |- align="center" | ||
| − | | 12: | + | | 12:10 - 12:30 |
| Is Data Migration Evil in the NVM File System? | | Is Data Migration Evil in the NVM File System? | ||
| Jungwook Han, Hongsoo Byun, Hyeongjoon Kown, Sungyong Park and Youngjae Kim | | Jungwook Han, Hongsoo Byun, Hyeongjoon Kown, Sungyong Park and Youngjae Kim | ||
|- align="center" | |- align="center" | ||
| − | | 12: | + | | 12:30 - 12:50 |
| Data Separation Scheme on Lustre Metadata Server based on Multi-stream SSD | | Data Separation Scheme on Lustre Metadata Server based on Multi-stream SSD | ||
| Cheongjun Lee, Jaehwan Lee, Chungyong Kim, Jiwoo Bang, Eun-Kyu Byun and Hyeonsang Eom | | Cheongjun Lee, Jaehwan Lee, Chungyong Kim, Jiwoo Bang, Eun-Kyu Byun and Hyeonsang Eom | ||
|- align="center" | |- align="center" | ||
| − | | | + | | 12:50 - 13:10 |
| Implementing CUDA Unified Memory in the PyTorch Framework | | Implementing CUDA Unified Memory in the PyTorch Framework | ||
| Jake Choi, Heon Young Yeom and Yoonhee Kim | | Jake Choi, Heon Young Yeom and Yoonhee Kim | ||
|- align="center" | |- align="center" | ||
| − | | 13: | + | | 13:10 - 13:20 |
| − | | colspan="3" align="center"| Closing Remarks | + | | colspan="3" align="center"| '''Closing Remarks''' |
|} | |} | ||
Latest revision as of 08:29, 27 September 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 - 13:20 PM (EST)
This workshop features oral presentations of 8 full papers.
| Time (EST) | Title | Authors | Session Chair |
|---|---|---|---|
| 10:00 - 10:10 | Welcome Remarks by AMGCC workshop organizers | ||
| Session 1: Big Data in Cloud | |||
| 10:10 - 10:30 | Towards Scalable Manycore-aware Persistent B+-Tree for Efficient Indexing in Cloud Environment | Safdar Jamil, Awais Khan, Burgstaller Bernd and Youngjae Kim | Awais Khan |
| 10:30 - 10:50 | MeLoN: Distributed Deep Learning meets the Big Data Platform | Dae-Cheol Kang, Seoungbeom Heo, Hyeounji Jang, Hyeock-Jin Lee, Minkyoung Cho and Jik-Soo Kim | |
| 10:50 - 11:10 | Development of QoS-aware agents with reinforcement learning for autoscaling of microservices on the cloud | Abeer Abdel Khaleq and Ilkyeun Ra | |
| 11:10 - 11:30 | Q-Spark: QoS Aware Micro-batch Stream Processing System Using Spark | Suyeon Lee, Yeonwoo Jeong, Minwoo Kim and Sungyong Park | |
| 11:30 - 11:50 | Break | ||
| Session 2: Virtualization and File Systems | |||
| 11:50 - 12:10 | An Efficient VM Scheduling Framework for Interactive Streaming Service | Jongbeen Han, Minwook Lee, Chanho Choi, Yongseok Son and Hyeonsang Eom | Jik-Soo Kim |
| 12:10 - 12:30 | Is Data Migration Evil in the NVM File System? | Jungwook Han, Hongsoo Byun, Hyeongjoon Kown, Sungyong Park and Youngjae Kim | |
| 12:30 - 12:50 | Data Separation Scheme on Lustre Metadata Server based on Multi-stream SSD | Cheongjun Lee, Jaehwan Lee, Chungyong Kim, Jiwoo Bang, Eun-Kyu Byun and Hyeonsang Eom | |
| 12:50 - 13:10 | Implementing CUDA Unified Memory in the PyTorch Framework | Jake Choi, Heon Young Yeom and Yoonhee Kim | |
| 13:10 - 13:20 | Closing Remarks | ||
