Managing energy and server resources in hosting centers
SOSP '01 Proceedings of the eighteenth ACM symposium on Operating systems principles
A Holistic Approach to Designing Energy-Efficient Cluster Interconnects
IEEE Transactions on Computers
SC '05 Proceedings of the 2005 ACM/IEEE conference on Supercomputing
Thermal vs Energy Optimization for DVFS-Enabled Processors in Embedded Systems
ISQED '07 Proceedings of the 8th International Symposium on Quality Electronic Design
Analyzing the Energy-Time Trade-Off in High-Performance Computing Applications
IEEE Transactions on Parallel and Distributed Systems
Energy-aware scheduling for real-time multiprocessor systems with uncertain task execution time
Proceedings of the 44th annual Design Automation Conference
Adagio: making DVS practical for complex HPC applications
Proceedings of the 23rd international conference on Supercomputing
Energy-efficient server clusters
PACS'02 Proceedings of the 2nd international conference on Power-aware computer systems
Cherub: Power Consumption Aware Cluster Resource Management
GREENCOM-CPSCOM '10 Proceedings of the 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing
A flexible simulator to evaluate a power saving system for HPC clusters
Green Computing Middleware on Proceedings of the 2nd International Workshop
A simulator to assess energy saving strategies and policies in HPC workloads
ACM SIGOPS Operating Systems Review
CHERUB: power consumption aware cluster resource management
Cluster Computing
Adaptive workload driven dynamic power management for high performance computing clusters
Computers and Electrical Engineering
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With the increasing number of nodes in high performance clusters as well as the high frequency of the processors in these systems, energy consumption has become a key factor which limits their large-scale deployment. In response, this paper presents a software module that, taking into consideration past and future users' requests, implements energy saving policies, powering on and shutting down the system nodes. This tool employs Roll for clusters with Rocks® as operating system and Sun® Grid Engine as queue system.