Title
An optimized unsupervised manifold learning algorithm for manycore architectures
Abstract
•An optimized ranking algorithm for manycore systems.•Different shared-memory parallelization strategies are investigated.•A thorough evaluation of the proposed optimizations using a 72-core machine.
Year
DOI
Venue
2019
10.1016/j.ins.2018.06.023
Information Sciences
Keywords
Field
DocType
Multimedia retrieval,Unsupervised learning,Efficiency,Scalability,Parallelism
Ranking,Algorithm,Unsupervised learning,Mobile device,Artificial intelligence,Nonlinear dimensionality reduction,Memoization,High availability,Machine learning,Mathematics,Speedup,Scalability
Journal
Volume
ISSN
Citations 
496
0020-0255
0
PageRank 
References 
Authors
0.34
31
4
Name
Order
Citations
PageRank
Alexandro Baldassin14810.02
Ying Weng2969.27
Daniel Carlos Guimarães Pedronette330425.47
Jurandy Almeida443135.15