Difference between revisions of "AMGCC18 Program"
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| + | | OMBM-ML: An Efficient Memory Bandwidth Management for Ensuring QoS and Improving Server Utilization | ||
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| + | | 16:40 - 17:00 | ||
| + | | Efficient Classification of Application Characteristics by using Hardware Performance Counters with Data Mining | ||
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Revision as of 07:39, 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 | Presenter | 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 | |||
| 17:30 - 17:45 | Closing Remarks | |||
