Proceedings of the 32nd annual ACM/IEEE international symposium on Microarchitecture
Towards an energy complexity of computation
Information Processing Letters - Special issue in honor of Edsger W. Dijkstra
Energy-delay efficiency of VLSI computations
Proceedings of the 12th ACM Great Lakes symposium on VLSI
What are the future trends in high-performance inter.connects for parallel computers? [Panel 1]
HOTI '04 Proceedings of the High Performance Interconnects, 2004. on Proceedings. 12th Annual IEEE Symposium
Analyzing the Energy-Time Trade-Off in High-Performance Computing Applications
IEEE Transactions on Parallel and Distributed Systems
Bounding energy consumption in large-scale MPI programs
Proceedings of the 2007 ACM/IEEE conference on Supercomputing
Instruction cache energy saving through compiler way-placement
Proceedings of the conference on Design, automation and test in Europe
Auction resource allocation mechanisms in grids of heterogeneous computers
WSEAS Transactions on Computers
Making a case for a green500 list
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
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
Understanding Power Measurement Implications in the Green500 List
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
Resource allocation to conserve energy in distributed computing
International Journal of Grid and Utility Computing
Supervised learning with minimal effort
PAKDD'10 Proceedings of the 14th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part II
Towards efficient supercomputing: searching for the right efficiency metric
ICPE '12 Proceedings of the 3rd ACM/SPEC International Conference on Performance Engineering
Proactive thermal management in green datacenters
The Journal of Supercomputing
GBench: benchmarking methodology for evaluating the energy efficiency of supercomputers
Computer Science - Research and Development
The Green500 list: escapades to exascale
Computer Science - Research and Development
A 'cool' way of improving the reliability of HPC machines
SC '13 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
Reducing energy consumption in distributed computing through economic resource allocation
International Journal of Grid and Utility Computing
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Over the past decade, we have been building less and less efficient supercomputers, resulting in the construction of substantially larger machine rooms and even new buildings. In addition, because of the thermal power envelope of these supercomputers, a small fortune must be spent to cool them. These infrastructure costs coupled with the additional costs of administering and maintaining such (unreliable) supercomputers dramatically increases their total cost of ownership. As a result, there has been substantial interest in recent years to produce more reliable and more efficient supercomputers that are easy to maintain and use. But how does one quantify efficient supercomputing? That is, what metric should be used to evaluate how efficiently a supercomputer delivers answers? We argue that existing efficiency metrics such as the performance-power ratio are insufficient and motivate the need for a new type of efficiency metric, one that incorporates notions of reliability, availability, productivity, and total cost of ownership (TCO), for instance. In doing so, however, this paper raises more questions than it answers with respect to efficiency. And in the end, we still return to the performance-power ratio as an efficiency metric with respect to power and use it to evaluate a menagerie of processor platforms in order to provide a set of reference data points for the high-performance computing community.