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» Distributing the power of OLAP
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244
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IPPS
2008
IEEE
16 years 1 months ago
Qthreads: An API for programming with millions of lightweight threads
Large scale hardware-supported multithreading, an attractive means of increasing computational power, benefits significantly from low per-thread costs. Hardware support for ligh...
Kyle B. Wheeler, Richard C. Murphy, Douglas Thain
181
Voted
HICSS
2007
IEEE
97views Biometrics» more  HICSS 2007»
16 years 1 months ago
Interdependent Risk in Interacting Infrastructure Systems
Critical infrastructures display many of the characteristic properties of complex systems. They exhibit infrequent large failures events that often obey a power law distribution i...
Benjamin A. Carreras, David E. Newman, Paul Gradne...
199
Voted
ICPADS
2007
IEEE
16 years 1 months ago
Federated clusters using the transparent remote Execution (TREx) environment
- Due to the increasing complexity of scientific models, large-scale simulation tools often require a critical amount of computational power to produce results in a reasonable amou...
Richert Wang, Enrique Cauich, Isaac D. Scherson
193
Voted
ICPP
2007
IEEE
16 years 1 months ago
Tempest: A portable tool to identify hot spots in parallel code
Compute clusters are consuming more power at higher densities than ever before. This results in increased thermal dissipation, the need for powerful cooling systems, and ultimatel...
Kirk W. Cameron, Hari K. Pyla, Srinidhi Varadaraja...
194
Voted
ICPP
2007
IEEE
16 years 1 months ago
Energy-Efficient Scheduling for Parallel Applications Running on Heterogeneous Clusters
High performance clusters have been widely used to provide amazing computing capability for both commercial and scientific applications. However, huge power consumption has preven...
Ziliang Zong, Xiao Qin, Xiaojun Ruan, Kiranmai Bel...