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This list is incomplete; you can help by adding missing items. ... Related to NumPy, and thus connected to prior Numeric and Numarray packages for Python
Python, NumPy, SciPy: Python SAS: SAS Institute: 9.4M7 (August 2020 ()), Viya 4 (December 2020 ()) No Proprietary ... List of scientific journals in statistics;
Armadillo is a C++ linear algebra library (matrix and vector maths), aiming towards a good balance between speed and ease of use. [1] It employs template classes, and has optional links to BLAS and LAPACK. The syntax is similar to MATLAB. Blitz++ is a high-performance vector mathematics library written in C++.
Note how the use of A[i][j] with multi-step indexing as in C, as opposed to a neutral notation like A(i,j) as in Fortran, almost inevitably implies row-major order for syntactic reasons, so to speak, because it can be rewritten as (A[i])[j], and the A[i] row part can even be assigned to an intermediate variable that is then indexed in a separate expression.
NumPy (pronounced / ˈ n ʌ m p aɪ / NUM-py) is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays. [3]
CuPy is a part of the NumPy ecosystem array libraries [7] and is widely adopted to utilize GPU with Python, [8] especially in high-performance computing environments such as Summit, [9] Perlmutter, [10] EULER, [11] and ABCI.
The kernel calls had advantages over hard-coded loops: the library routine would be more readable, there were fewer chances for bugs, and the kernel implementation could be optimized for speed. A specification for these kernel operations using scalars and vectors , the level-1 Basic Linear Algebra Subroutines (BLAS), was published in 1979. [ 16 ]
simdjson, a JSON parsing library, uses AVX2 and AVX-512 to achieve improved decoding speed. [62] [63] x86-simd-sort, a library with sorting algorithms for 16, 32 and 64-bit numeric data types, uses AVX2 and AVX-512. The library is used in NumPy and OpenJDK to accelerate sorting algorithms. [64]