Multi-facet approach to reduce energy consumption in clouds and grids: the GREEN-NET framework
Proceedings of the 1st International Conference on Energy-Efficient Computing and Networking
Towards Energy Aware Scheduling for Precedence Constrained Parallel Tasks in a Cluster with DVFS
CCGRID '10 Proceedings of the 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing
Optimized dense matrix multiplication on a many-core architecture
Euro-Par'10 Proceedings of the 16th international Euro-Par conference on Parallel processing: Part II
Environment-conscious scheduling of HPC applications on distributed Cloud-oriented data centers
Journal of Parallel and Distributed Computing
In-situ I/O processing: a case for location flexibility
Proceedings of the sixth workshop on Parallel Data Storage
Energy: a new criteria for performances in large scale distributed systems
PERFORM'10 Proceedings of the 2010 IFIP WG 6.3/7.3 international conference on Performance Evaluation of Computer and Communication Systems: milestones and future challenges
Job allocation strategies for energy-aware and efficient Grid infrastructures
Journal of Systems and Software
Implementing the data center energy productivity metric
ACM Journal on Emerging Technologies in Computing Systems (JETC)
Energy-aware parallel task scheduling in a cluster
Future Generation Computer Systems
A survey on techniques for improving the energy efficiency of large-scale distributed systems
ACM Computing Surveys (CSUR)
Journal of Parallel and Distributed Computing
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The latest release of the Green500 List in November 2008 marked its one-year anniversary. As such, this paper aims to provide an analysis and retrospective examination of the Green500 List in order to understand how the list has evolved and what trends have emerged. In addition, we present community feedback on the Green500 List, particularly from two Green500 birds-of-a-feather (BoF) sessions at the International Supercomputing Conference in June 2008 and SC|08 in November 2008, respectively.