Parallel k-Means Clustering of Geospatial Data Sets Using Manycore CPU Architectures.
Richard Tran MillsVamsi SripathiJitendra KumarSarat SreepathiForrest M. HoffmanWilliam W. HargrovePublished in: ICDM Workshops (2018)
Keyphrases
- data sets
- parallel architectures
- graphics processing units
- parallel processing
- pc cluster
- general purpose
- level parallelism
- parallel implementation
- multicore processors
- synthetic data
- heterogeneous computing
- parallel programming
- parallel computing
- shared memory
- gpu implementation
- massively parallel
- geospatial data
- training data
- benchmark data sets
- k means
- multi core processors
- parallel computers
- parallel computation
- clustering algorithm
- real time
- real world
- memory hierarchy
- multi threaded
- high end
- computer architecture
- high performance computing
- computing systems
- web services
- real world data sets
- training set
- feature selection
- spatial data
- neural network
- partitioned data
- single instruction multiple data
- parallel algorithm