knor: Non-Uniform Memory Access ('NUMA') Optimized, Parallel K-Means

The k-means 'NUMA' Optimized Routine library or 'knor' is a highly optimized and fast library for computing k-means in parallel with accelerations for Non-Uniform Memory Access ('NUMA') architectures. Disa Mhembere, Da Zheng, Carey E. Priebe, Joshua T. Vogelstein, Randal Burns (2017) <arXiv:1606.08905>.

Version: 0.0-7
Depends: R (≥ 3.0), Rcpp (≥ 0.12.8)
LinkingTo: Rcpp
Suggests: testthat
Published: 2020-01-16
Author: Disa Mhembere [aut, cre], Neurodata (https://neurodata.io) [cph]
Maintainer: Disa Mhembere <disa at cs.jhu.edu>
BugReports: https://github.com/flashxio/knor/issues
License: Apache License 2.0
URL: https://github.com/neurodata/knorR
NeedsCompilation: yes
SystemRequirements: GNU make C++11, pthreads
Citation: knor citation info
CRAN checks: knor results

Downloads:

Reference manual: knor.pdf
Package source: knor_0.0-7.tar.gz
Windows binaries: r-devel: knor_0.0-7.zip, r-devel-gcc8: knor_0.0-7.zip, r-release: knor_0.0-7.zip, r-oldrel: knor_0.0-7.zip
OS X binaries: r-release: knor_0.0-7.tgz, r-oldrel: knor_0.0-7.tgz
Old sources: knor archive

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