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» Optimizing Graph Algorithms for Improved Cache Performance
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VLDB
1999
ACM
145views Database» more  VLDB 1999»
15 years 7 months ago
DBMSs on a Modern Processor: Where Does Time Go?
Recent high-performance processors employ sophisticated techniques to overlap and simultaneously execute multiple computation and memory operations. Intuitively, these techniques ...
Anastassia Ailamaki, David J. DeWitt, Mark D. Hill...
117
Voted
JACM
2010
111views more  JACM 2010»
15 years 1 months ago
Finding a maximum matching in a sparse random graph in O(n) expected time
We present a linear expected time algorithm for finding maximum cardinality matchings in sparse random graphs. This is optimal and improves on previous results by a logarithmic f...
Prasad Chebolu, Alan M. Frieze, Páll Melste...
FMCAD
2000
Springer
15 years 6 months ago
An Algorithm for Strongly Connected Component Analysis in n log n Symbolic Steps
We present a symbolic algorithm for strongly connected component decomposition. The algorithm performs (n log n) image and preimage computations in the worst case, where n is the n...
Roderick Bloem, Harold N. Gabow, Fabio Somenzi
CORR
2010
Springer
186views Education» more  CORR 2010»
15 years 3 months ago
Layered Label Propagation: A MultiResolution Coordinate-Free Ordering for Compressing Social Networks
We continue the line of research on graph compression started in [BV04], but we move our focus to the compression of social networks in a proper sense (e.g., LiveJournal): the app...
Paolo Boldi, Marco Rosa, Massimo Santini, Sebastia...
CHI
2008
ACM
15 years 5 months ago
Genetic algorithm can optimize hierarchical menus
Hierarchical menus are now ubiquitous. The performance of the menu depends on many factors: structure, layout, colors and so on. There has been extensive research on novel menus, ...
Shouichi Matsui, Seiji Yamada