Making a Case for Efficient Supercomputing
Queue - Power Management
Improvement of Power-Performance Efficiency for High-End Computing
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 11 - Volume 12
Reliability challenges in large systems
Future Generation Computer Systems
Memory-miser: a performance-constrained runtime system for power-scalable clusters
Proceedings of the 4th international conference on Computing frontiers
Reliability challenges in large systems
Future Generation Computer Systems
Making a case for a green500 list
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
Designing Energy Efficient Communication Runtime Systems for Data Centric Programming Models
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
Designing energy efficient communication runtime systems: a view from PGAS models
The Journal of Supercomputing
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We present a new twist to the Beowulf cluster 驴 the Bladed Beowulf. In contrast to traditional Beowulfs which typically use Intel or AMD processors, our Bladed Beowulf uses Trans-meta processors in order to keep thermal power dissipation low and reliability and density high while still achieving comparable performance to Intel- and AMD-based clusters.Given the ever increasing complexity of traditional supercomputers and Beowulf clusters; the issues of size, reliability, power consumption, and ease of administration and use willbe "the" issues of this decade for high-performance computing. Bigger and faster machines are simply not good enough anymore. To illustrate, we present the results of performancebenchmarks on our Bladed Beowulf and introduce two performance metrics that contribute to the total cost of ownership (TCO) of a computing system 驴 performance/power and performance/space.