Difference between revisions of "AMGCC18 Program"

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(Workshop Program | Workshop Main Page)
(Workshop Program | Workshop Main Page)
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| 14:50 - 15:10
 
| 14:50 - 15:10
 
| Efficient Multi-GPU Memory Management for Deep Learning Acceleration
 
| Efficient Multi-GPU Memory Management for Deep Learning Acceleration
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| Youngrang Kim, Jaehwan Lee, Jik-Soo Kim, Hyunseung Jei, Hongchan Roh
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| Korea Aerospace University, Myongji University, SK Telecom
  
 
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Revision as of 05:50, 7 August 2018

Workshop Program | Workshop Main Page

  • Date: September 7 (Friday), 2018
  • Time: 02:00 PM - 06:00 PM

This workshop features oral presentations of 9 full papers.

Time Title Authors Institution Session Chair
14:00 - 14:10 Welcome Remarks by AMGCC workshop organizers
14:10 - 14:30 Design and Implementation of Software-based Dynamically Connected Transport Jiwoong Park, Heonyoung Yeom Seoul National University TBD
14:30 - 14:50 DymGPU: Dynamic Memory Management for Sharing GPUs in Virtualized Clouds Younghun Park, Minwoo Gu, Sungju Yoo, Youngjae Kim, Sungyong Park Sogang University
14:50 - 15:10 Efficient Multi-GPU Memory Management for Deep Learning Acceleration Youngrang Kim, Jaehwan Lee, Jik-Soo Kim, Hyunseung Jei, Hongchan Roh Korea Aerospace University, Myongji University, SK Telecom
15:10 - 15:30 High Performance Parallel KMP Algorithm on a Heterogeneous Architecture
15:30 - 16:00 Coffee Break
16:00 - 16:20 Effects of VM Placement Constraints in Heterogeneous Virtual Clusters TBD
16:20 - 16:40 OMBM-ML: An Efficient Memory Bandwidth Management for Ensuring QoS and Improving Server Utilization
16:40 - 17:00 Efficient Classification of Application Characteristics by using Hardware Performance Counters with Data Mining
17:00 - 17:20 Design of Skiplist based key-value store on non-volatile memory
17:20 - 17:40 Adaptive Sharing of GPUs in Heterogeneous Container Clusters
17:40 - 18:00 Closing Remarks