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» On the Comparability of Software Clustering Algorithms
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EWSN
2008
Springer
14 years 7 months ago
Efficient Clustering for Improving Network Performance in Wireless Sensor Networks
Clustering is an important mechanism in large multi-hop wireless sensor networks for obtaining scalability, reducing energy consumption and achieving better network performance. Mo...
Tal Anker, Danny Bickson, Danny Dolev, Bracha Hod
HPDC
2000
IEEE
14 years 13 days ago
Distributed Processor Allocation in Large PC Clusters
Current processor allocation techniques for highly parallel systems are based on centralized front-end based algorithms. As a result, the applied strategies are restricted to stat...
Hans-Ulrich Heiss, César A. F. De Rose, Phi...
ICASSP
2011
IEEE
12 years 11 months ago
A clustering based framework for dictionary block structure identification
Sparse representations over redundant dictionaries offer an efficient paradigm for signal representation. Recently block-sparsity has been put forward as a prior condition for so...
Ender M. Eksioglu
CCGRID
2002
IEEE
14 years 1 months ago
User-Centric Performance Analysis of Market-Based Cluster Batch Schedulers
This paper presents a performance analysis of marketbased batch schedulers for clusters of workstations. In contrast to previous work, we use user-centric performance metrics as t...
Brent N. Chun, David E. Culler
BIBE
2008
IEEE
142views Bioinformatics» more  BIBE 2008»
14 years 2 months 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