A survey of design techniques for system-level dynamic power management
IEEE Transactions on Very Large Scale Integration (VLSI) Systems - Special section on low-power electronics and design
Low-energy intra-task voltage scheduling using static timing analysis
Proceedings of the 38th annual Design Automation Conference
Symbiotic jobscheduling for a simultaneous multithreaded processor
ASPLOS IX Proceedings of the ninth international conference on Architectural support for programming languages and operating systems
Managing energy and server resources in hosting centers
SOSP '01 Proceedings of the eighteenth ACM symposium on Operating systems principles
Dynamic and Aggressive Scheduling Techniques for Power-Aware Real-Time Systems
RTSS '01 Proceedings of the 22nd IEEE Real-Time Systems Symposium
Scheduling Algorithms for Effective Thread Pairing on Hybrid Multiprocessors
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Papers - Volume 01
Adaptive Parallel Job Scheduling with Flexible Coscheduling
IEEE Transactions on Parallel and Distributed Systems
Co-scheduling of computation and data on computer clusters
SSDBM'2005 Proceedings of the 17th international conference on Scientific and statistical database management
Power provisioning for a warehouse-sized computer
Proceedings of the 34th annual international symposium on Computer architecture
No "power" struggles: coordinated multi-level power management for the data center
Proceedings of the 13th international conference on Architectural support for programming languages and operating systems
PowerNap: eliminating server idle power
Proceedings of the 14th international conference on Architectural support for programming languages and operating systems
vGreen: a system for energy efficient computing in virtualized environments
Proceedings of the 14th ACM/IEEE international symposium on Low power electronics and design
An approach to resource-aware co-scheduling for CMPs
Proceedings of the 24th ACM International Conference on Supercomputing
Energy aware consolidation for cloud computing
HotPower'08 Proceedings of the 2008 conference on Power aware computing and systems
Characterizing multi-threaded applications based on shared-resource contention
ISPASS '11 Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software
| Hi-index | 0.00 |
Future computing clusters will prevalently run parallel workloads to take advantage of the increasing number of cores on chips. In tandem, there is a growing need to reduce energy consumption of computing. One promising method for improving energy efficiency is co-scheduling applications on compute nodes. Efficient consolidation for parallel workloads is a challenging task as a number of factors, such as scalability, inter-thread communication patterns, or memory access frequency of the applications affect the energy/performance tradeoffs. This paper evaluates the impact of co-scheduling parallel workloads on the energy consumed per useful work done on real-life servers. Based on this analysis, we propose a novel multi-level technique that selects the best policy to co-schedule multiple workloads on a multi-core processor. Our measurements demonstrate that the proposed multi-level co-scheduling method improves the overall energy per work savings of the multi-core system up to 22% compared to state-of-the-art techniques.