Difference between revisions of "AMGCC20 Program"
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(→Workshop Program | Workshop Main Page) |
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* '''Date''': August 17 (Monday), 2020 | * '''Date''': August 17 (Monday), 2020 | ||
| − | * '''Time''': | + | * '''Time''': 10:00 AM - 01:40 PM |
| + | |||
| + | This workshop features oral presentations of 9 full papers. | ||
| + | |||
| + | {| class="wikitable" | ||
| + | |- | ||
| + | ! Time | ||
| + | ! Title | ||
| + | ! Authors | ||
| + | ! Session Chair | ||
| + | |||
| + | |- align="center" | ||
| + | | width="10%"| 10:00 - 10:10 | ||
| + | | colspan="3" align="center"| Welcome Remarks by AMGCC workshop organizers | ||
| + | |||
| + | |- align="center" | ||
| + | | 10:10 - 10:30 | ||
| + | | Performance Prediction of Sparse Matrix Multiplication on a Distributed BigData Processing Environment | ||
| + | | Jueon Park and Kyungyong Lee | ||
| + | |||
| + | | rowspan="4"| Yongseok Son | ||
| + | |||
| + | |- align="center" | ||
| + | | 10:30 - 10:50 | ||
| + | | An adaptive page replacement scheme for scientific applications | ||
| + | | Yunjae Lee, Heon Y. Yeom and Hyuck Han | ||
| + | |||
| + | |- align="center" | ||
| + | | 10:50 - 11:10 | ||
| + | | Hyperparameter Optimization for Deep Residual Learning in Image Classification | ||
| + | | Abbas Jafar and Lee Myungho | ||
| + | |||
| + | |- align="center" | ||
| + | | 11:10 - 11:30 | ||
| + | | Toward Interference-aware GPU Container Co-scheduling Learning from Application Profiles | ||
| + | | Sejin Kim and Yoonhee Kim | ||
| + | |||
| + | |- align="center" | ||
| + | | 11:30 - 12:00 | ||
| + | | colspan="3" align="center"| Break | ||
| + | |||
| + | |- align="center" | ||
| + | | 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 | ||
| + | |||
| + | | rowspan="5"| Kyongyong Lee | ||
| + | |||
| + | |- align="center" | ||
| + | | 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 | ||
| + | |||
| + | |- align="center" | ||
| + | | 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 | ||
| + | |||
| + | |- align="center" | ||
| + | | 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 | ||
| + | |||
| + | |- align="center" | ||
| + | | 13:20 - 13:40 | ||
| + | | An Energy-Efficient Service Scheduling Algorithm in Federated Edge Cloud | ||
| + | | Yeonwoo Jeong, Esrat Maria and Sungyong Park | ||
| + | |||
| + | |- align="center" | ||
| + | | 13:40 - 13:50 | ||
| + | | colspan="3" align="center"| Closing Remarks | ||
| + | |} | ||
Latest revision as of 04:50, 27 July 2020
Accepted Papers | Workshop Main Page
- Cheongjun Lee, Jaehwan Lee, Donghun Koo, Chungyong Kim, Jiwoo Bang, Eun-Kyu Byun and Hyeonsang Eom, "Empirical Analysis of the I/O Characteristics of a Highly Integrated Many-Core Processor"
- Hyunjoon Cheon, Jinseung Ryu, Chan Yeol Park and Yo-Sub Han, "SW Runtime Estimation using Automata Theory and Deep Learning on HPC"
- Jaehyun Han, Guangyu Zhu, Eunseo Lee and Yongseok Son, "An Efficient and Parallel Bad Block Checker for Parallelism of Storage Devices"
- Sejin Kim, Yoonhee Kim, "Toward Interference-aware GPU Container Co-scheduling Learning from Application Profiles"
- Abbas Jafar and Lee Myungho, "Hyperparameter Optimization for Deep Residual Learning in Image Classification"
- Jueon Park and Kyungyong Lee, "Performance Prediction of Sparse Matrix Multiplication on a Distributed BigData Processing Environment"
- Yunjae Lee, Heon Y. Yeom and Hyuck Han, "An adaptive page replacement scheme for scientific applications"
- Thi My Tuyen Nguyen, Yoosang Park, Raehyun Kim and Jaeyoung Choi, "Improving performance of Parallel Matrix Multiplication Routine on Intel KNL and Xeon Scalable Processors"
- Yeonwoo Jeong, Esrat Maria and Sungyong Park, "An Energy-Efficient Service Scheduling Algorithm in Federated Edge Cloud"
Workshop Program | Workshop Main Page
- Date: August 17 (Monday), 2020
- Time: 10:00 AM - 01:40 PM
This workshop features oral presentations of 9 full papers.
| Time | Title | Authors | Session Chair |
|---|---|---|---|
| 10:00 - 10:10 | Welcome Remarks by AMGCC workshop organizers | ||
| 10:10 - 10:30 | Performance Prediction of Sparse Matrix Multiplication on a Distributed BigData Processing Environment | Jueon Park and Kyungyong Lee | 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 | ||
