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» On the Comparability of Software Clustering Algorithms
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EWSN
2008
Springer
15 years 9 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
15 years 2 months 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
14 years 1 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
15 years 3 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»
15 years 4 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