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» On the Performance of Ant-based Clustering
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IPPS
2005
IEEE
15 years 11 months ago
MegaProto: A Low-Power and Compact Cluster for High-Performance Computing
“MegaProto” is a proof-of-concept prototype for our project “Mega-Scale Computing Based on Low-Power Technology and Workload Modeling”, implementing our key idea that a mi...
Hiroshi Nakashima, Hiroshi Nakamura, Mitsuhisa Sat...
ICDCS
2003
IEEE
15 years 11 months ago
Performance Guarantees for Cluster-Based Internet Services
As web-based transactions become an essential element of everyday corporate and commerce activities, it becomes increasingly important that the performance of web-based services b...
Chang Li, Gang Peng, Kartik Gopalan, Tzi-cker Chiu...
IPPS
2005
IEEE
15 years 11 months ago
Performance Implications of Periodic Checkpointing on Large-Scale Cluster Systems
Large-scale systems like BlueGene/L are susceptible to a number of software and hardware failures that can affect system performance. Periodic application checkpointing is a commo...
Adam J. Oliner, Ramendra K. Sahoo, José E. ...
EVOW
2009
Springer
16 years 27 days ago
Improving Performance in Combinatorial Optimisation Using Averaging and Clustering
In a recent paper an algorithm for solving MAX-SAT was proposed which worked by clustering good solutions and restarting the search from the closest feasible solutions. This was sh...
Mohamed Qasem, Adam Prügel-Bennett
BIBE
2008
IEEE
142views Bioinformatics» more  BIBE 2008»
16 years 17 days ago
Optimizing performance, cost, and sensitivity in pairwise sequence search on a cluster of PlayStations
— The Smith-Waterman algorithm is a dynamic programming method for determining optimal local alignments between nucleotide or protein sequences. However, it suffers from quadrati...
Ashwin M. Aji, Wu-chun Feng