nblas-plus
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C++ bindings for all single- and double-precision CBLAS (Basic Linear Algebra Subprograms), SPBLAS (Sparse BLAS), LAPACK.
Node >=4.0 C++ bindings for all single- and double-precision CBLAS (Basic Linear Algebra Subprograms) and SPBLAS (Sparse BLAS) routines. Also LAPACK routines (for now only solve general system of linear equations AX=B).
LINUX:
$ cd preinstall
$ sh debian.sh
Tested on Ubuntu 16
OSX:
$ cd preinstall
$ sh osx.sh
Tested on OSX ElCapitan
WIN:
Not tested.
https://icl.cs.utk.edu/lapack-for-windows/
$ npm install nblas-plus
$ npm test
?gbmv (a, x, y, [kl = 0], [ku = 0], [alpha = 1.0], [beta = 0], [trans = nblas.NoTrans])?gemv (a, x, y, [alpha = 1.0], [beta = 0], [trans = nblas.NoTrans])?ger (a, x, y, [alpha = 1.0])?sbmv (a, x, y, [uplo = nblas.Upper], [alpha = 1.0], [beta = 0])?spmv (ap, x, y, [uplo = nblas.Upper], [alpha = 1.0], [beta = 0])?spr (ap, x, [uplo = nblas.Upper], [alpha = 1.0])?spr2 (ap, x, y, [uplo = nblas.Upper], [alpha = 1.0])?symv (a, x, y, [uplo = nblas.Upper], [alpha = 1.0], [beta = 0])?syr (a, x, [uplo = nblas.Upper], [alpha = 1.0])?syr2 (a, x, y, [uplo = nblas.Upper], [alpha = 1.0], [beta = 0])?tbmv (a, x, y, [uplo = nblas.Upper], [trans = nblas.NoTrans], [diag = nblas.NonUnit])?tbsv (a, x, [uplo = nblas.Upper], [diag = nblas.NonUnit])?tpmv (ap, x, [uplo = nblas.Upper], [trans = nblas.NoTrans], [diag = nblas.NonUnit])?tpsv (ap, x, [uplo = nblas.Upper], [trans = nblas.NoTrans], [diag = nblas.NonUnit])?trmv (a, x, [uplo = nblas.Upper], [trans = nblas.NoTrans], [diag = nblas.NonUnit])?trsv (a, x, [uplo = nblas.Upper], [trans = nblas.NoTrans], [diag = nblas.NonUnit])?gemm (a, b, c, m, n, k, [transa = 111], [transb = 111], [alpha = 1.0], [beta = 0])?symm (a, b, c, m, n, [side = nblas.Left], [uplo = nblas.Upper], [alpha = 1.0], [beta = 0])?syrk (a, c, n, k, [uplo = nblas.Upper], [trans = nblas.NoTrans], [alpha = 1.0], [beta = 0])?syr2k (a, b, c, n, k, [uplo = nblas.Upper], [trans = nblas.NoTrans], [alpha = 1.0], [beta = 0])?trmm (a, b, m, n, [side = nblas.Left], [uplo = nblas.Upper], [transa = 111], [diag = nblas.NonUnit], [alpha = 1.0])?trsm (a, b, m, n, [diag = nblas.NonUnit], [uplo = nblas.Upper], [transa = 111], [diag = nblas.NonUnit], [alpha = 1.0])LAPACK Routines (list of routines)
?gesv (A, B, m, n, [ipiv])] (https://software.intel.com/ru-ru/node/468876)?gesvx (A, B, X, m, n, [AF], [IPIV], [fact = nblas.Lapack.Fact.N], [trans = nblas.Lapack.Trans.N], [equed = nblas.Lapack.Equed.N], [R], [C])] (https://software.intel.com/ru-ru/node/468878)?getrf (A, IPIV, m, n)] (https://software.intel.com/ru-ru/node/468682)?uscr_begin (double, m, n) Construction?uscr_block_begin (double, Mb, Nb, k, l)] Block construction (Mb, Nb - blocks count, k, l = blocks size, M = Mb * k, N = Nb * l)?uscr_variable_block_begin (double, Mb, Nb, K, L) Variable block construction (K - array of size Mb, L - array of size Nb)?uscr_insert_entry (A, val, i, j)?uscr_insert_entries (A, nz, vals, indx, jndx)?uscr_insert_col (A, j, nz, vals, indx)?uscr_insert_row (A, i, nz, vals, jndx)?uscr_insert_clique (A, k, l, vals, row_stride, col_stride, indx, jndx)?uscr_insert_block (A, vals, row_stride, col_stride, i, j)?uscr_end (A)usgp (A) get, see list of options below (Sparse matrix properties)ussp (A) setusds (A)?usdot (x, indx, y) sparse dot product?usaxpy (x, indx, y, alpha) sparse vector update?usga (x, indx, y) sparse gather?usgz (x, indx, y) sparse gather and zero?ussc (x, indx, y) sparse scatter?usmv (A, x, y, trans = nblas.Trans, alpha = 1.0) sparse matrix-vector multiply, A [m * n] * x [ n * 1 ] = y [ m * 1 ]?ussv (A, x, trans = nblas.Trans, alpha = 1.0) sparse triangular solve ?usmm (A, B, C, nrhs, trans = nblas.Trans, alpha = 1.0) sparse matrix-matrix multiply
?ussm (A, B, nrhs, trans = nblas.Trans, alpha = 1.0) sparse triangular solve
Matrix layout enums
trans)
nblas.NoTrans (default)nblas.Transnblas.ConjTransuplo)
nblas.Upper (default)nblas.Lowerdiag)
nblas.NonUnit (default)nblas.Unitside)
nblas.Left (default)nblas.Right.blas_general.blas_symmetric.blas_hermitian.blas_triangular.blas_lower_triangular.blas_upper_triangular.blas_lower_symmetric.blas_upper_symmetric.blas_lower_hermitian.blas_upper_hermitian.blas_double_precision.blas_single_precision.blas_num_rows.blas_num_cols.blas_num_nonzeros.blas_invalid_handle.blas_new_handle.blas_open_handle.blas_valid_handle.N (default).F.E.N (default).T.C.N (default).R.C.BDouble precision functions expect Float64Array vectors, single precision functions expect Float32Array vectors.
See test/test.js
var nblas = require('nblas');
var f64a = new Float64Array([1, 2, 3]),
f64b = new Float64Array([4, 5, 6]);
nblas.dot(f64a, f64b); // or
nblas.ddot(3, f64a, 1, f64b, 1); // 32
var f32a = new Float32Array([1, 2, 3]),
f32b = new Float32Array([4, 5, 6]);
nblas.dot(f32a, f32b); // or
nblas.sdot(3, f32a, 1, f32b, 1); // 32
FAQs
C++ bindings for all single- and double-precision CBLAS (Basic Linear Algebra Subprograms), SPBLAS (Sparse BLAS), LAPACK.
The npm package nblas-plus receives a total of 1 weekly downloads. As such, nblas-plus popularity was classified as not popular.
We found that nblas-plus demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
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