RcppBlaze: 'Rcpp' Integration for the 'Blaze' High-Performance C++ Math Library

'Blaze' is an open-source, high-performance C++ math library for dense and sparse arithmetic. With its state-of-the-art Smart Expression Template implementation 'Blaze' combines the elegance and ease of use of a domain-specific language with 'HPC'-grade performance, making it one of the most intuitive and fastest C++ math libraries available. The 'Blaze' library offers: - high performance through the integration of 'BLAS' libraries and manually tuned 'HPC' math kernels - vectorization by 'SSE', 'SSE2', 'SSE3', 'SSSE3', 'SSE4', 'AVX', 'AVX2', 'AVX-512', 'FMA', and 'SVML' - parallel execution by 'OpenMP', C++11 threads and 'Boost' threads ('Boost' threads are disabled in 'RcppBlaze') - the intuitive and easy to use API of a domain specific language - unified arithmetic with dense and sparse vectors and matrices - thoroughly tested matrix and vector arithmetic - completely portable, high quality C++ source code. The 'RcppBlaze' package includes the header files from the 'Blaze' library with disabling some functionalities related to link to the thread and system libraries which make 'RcppBlaze' be a header-only library. Therefore, users do not need to install 'Blaze' and the dependency 'Boost'. 'Blaze' is licensed under the New (Revised) BSD license, while 'RcppBlaze' (the 'Rcpp' bindings/bridge to 'Blaze') is licensed under the GNU GPL version 2 or later, as is the rest of 'Rcpp'. Note that since 'Blaze' has committed to 'C++14' commit to 'C++14' which does not used by most R users from version 3.0, we will use the version 2.6 of 'Blaze' which is 'C++98' compatible to support the most compilers and system.

Package details

AuthorChing-Chuan Chen, Klaus Iglberger, Georg Hager, Christian Godenschwager, Tobias Scharpff, Dirk Eddelbuettel, Romain Francois, Douglas Bates
MaintainerChing-Chuan Chen <[email protected]>
LicenseGPL (>= 2)
Version0.2.2
URL https://github.com/Chingchuan-chen/RcppBlaze https://bitbucket.org/blaze-lib/blaze
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("RcppBlaze")

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RcppBlaze documentation built on Oct. 9, 2017, 5:05 p.m.