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Large Scale and Big Data
book

Large Scale and Big Data

by Sherif Sakr, Mohamed Gaber
June 2014
Intermediate to advanced content levelIntermediate to advanced
636 pages
23h 13m
English
Auerbach Publications
Content preview from Large Scale and Big Data
244 Large Scale and Big Data
using a sequential and high-quality partitioning algorithm such as GGGP (Greedy
Graph Growing Partitioning) [45]. In the uncoarsening phase, the partitions are
then iteratively projected back toward the original graph, with a local renement
on each iteration.
The iterations are highly parallelizable, and their efciency and scalability has
been evaluated on shared-memory architectures (such as Cray supercomputers)
[44,46]. However, in the coarsening and uncoarsening phases, all the edges may be
accessed, generating a lot of network trafc if the input graph is stored in distributed
machines.
7.5.3.2 Network Trans ...
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Publisher Resources

ISBN: 9781466581500