Difference between revisions of "AMGCC18 Program"
From HTC-as-a-Service, KISTI
(→Workshop Program | Workshop Main Page) |
(→Workshop Program | Workshop Main Page) |
||
Line 22: | Line 22: | ||
| 14:10 - 14:30 | | 14:10 - 14:30 | ||
| Design and Implementation of Software-based Dynamically Connected Transport | | Design and Implementation of Software-based Dynamically Connected Transport | ||
− | |||
| | | | ||
Line 30: | Line 29: | ||
| 14:30 - 14:50 | | 14:30 - 14:50 | ||
| DymGPU: Dynamic Memory Management for Sharing GPUs in Virtualized Clouds | | DymGPU: Dynamic Memory Management for Sharing GPUs in Virtualized Clouds | ||
− | |||
| | | | ||
Line 36: | Line 34: | ||
| 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 | ||
− | |||
| | | | ||
Line 42: | Line 39: | ||
| 15:10 - 15:30 | | 15:10 - 15:30 | ||
| High Performance Parallel KMP Algorithm on a Heterogeneous Architecture | | High Performance Parallel KMP Algorithm on a Heterogeneous Architecture | ||
− | |||
| | | | ||
Line 52: | Line 48: | ||
| 16:00 - 16:20 | | 16:00 - 16:20 | ||
| Effects of VM Placement Constraints in Heterogeneous Virtual Clusters | | Effects of VM Placement Constraints in Heterogeneous Virtual Clusters | ||
− | |||
| | | | ||
Line 60: | Line 55: | ||
| 16:20 - 16:40 | | 16:20 - 16:40 | ||
| OMBM-ML: An Efficient Memory Bandwidth Management for Ensuring QoS and Improving Server Utilization | | OMBM-ML: An Efficient Memory Bandwidth Management for Ensuring QoS and Improving Server Utilization | ||
− | |||
| | | | ||
Line 66: | Line 60: | ||
| 16:40 - 17:00 | | 16:40 - 17:00 | ||
| Efficient Classification of Application Characteristics by using Hardware Performance Counters with Data Mining | | Efficient Classification of Application Characteristics by using Hardware Performance Counters with Data Mining | ||
− | |||
| | | | ||
Line 72: | Line 65: | ||
| 17:00 - 17:20 | | 17:00 - 17:20 | ||
| Design of Skiplist based key-value store on non-volatile memory | | Design of Skiplist based key-value store on non-volatile memory | ||
− | |||
| | | | ||
Line 78: | Line 70: | ||
| 17:20 - 17:40 | | 17:20 - 17:40 | ||
| Adaptive Sharing of GPUs in Heterogeneous Container Clusters | | Adaptive Sharing of GPUs in Heterogeneous Container Clusters | ||
− | |||
| | | | ||
Revision as of 07:44, 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 | 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 | TBD | |
14:30 - 14:50 | DymGPU: Dynamic Memory Management for Sharing GPUs in Virtualized Clouds | ||
14:50 - 15:10 | Efficient Multi-GPU Memory Management for Deep Learning Acceleration | ||
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 |