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xsimd - C++ wrappers for SIMD intrinsics and parallelized, optimized mathematical functions (SSE, AVX, NEON, AVX512)

  •    C++

SIMD (Single Instruction, Multiple Data) is a feature of microprocessors that has been available for many years. SIMD instructions perform a single operation on a batch of values at once, and thus provide a way to significantly accelerate code execution. However, these instructions differ between microprocessor vendors and compilers. xsimd provides a unified means for using these features for library authors. Namely, it enables manipulation of batches of numbers with the same arithmetic operators as for single values. It also provides accelerated implementation of common mathematical functions operating on batches.

NumCpp - C++ implementation of the Python Numpy library

  •    C++

This quick start guide is meant as a very brief overview of some of the things that can be done with NumCpp. For a full breakdown of everything available in the NumCpp library please visit the Full Documentation. The main data structure in NumCpp is the NdArray. It is inherently a 2D array class, with 1D arrays being implemented as 1xN arrays. There is also a DataCube class that is provided as a convenience container for storing an array of 2D NdArrays, but it has limited usefulness past a simple container.

xsimd - Modern, portable C++ wrappers for SIMD intrinsics and parallelized, optimized math implementations

  •    C++

SIMD (Single Instruction, Multiple Data) is a feature of microprocessors that has been available for many years. SIMD instructions perform a single operation on a batch of values at once, and thus provide a way to significantly accelerate code execution. However, these instructions differ between microprocessor vendors and compilers. xsimd provides a unified means for using these features for library authors. Namely, it enables manipulation of batches of numbers with the same arithmetic operators as for single values. It also provides accelerated implementation of common mathematical functions operating on batches.

scilab - Free and Open Source software for numerical computation providing a powerful computing environment for engineering and scientific applications

  •    Scilab

Open source, cross-platform numerical computational package and a high-level, numerically oriented programming language. Scilab is a free software, released under the terms of the GNU General Public License (GPL) v2.0. Scilab was originally licensed under the terms of the CeCILL v2.1 and continues to be available under such terms. For more information, see the COPYING file.




cmathl - A pure-C math library with a great variety of mathematical functions

  •    C

CMathL (CML) is a pure-C math library with a great variety of mathematical functions. It is almost 100% C89/C90 compliant. You can read the documentation to learn more about CML.






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