OptiVec for Linux GCC / CLang 8.3
OptiVec for GCC: High-performance library of vector and matrix functions, > 3 times faster than compiled C/C++ code: Math, statistics, analysis, FFT, matrix inversion, decomposition, curve-fitting - in total more than 3500 functions.
Last update
25 Jun. 2024
Licence
Free
OS Support
Linux
Downloads
Total: 0 | Last week: 0
Ranking
#2 in
Libraries
Publisher
Opticode - Martin Sander Software Dev.
Screenshots of OptiVec for Linux GCC / CLang
OptiVec for Linux GCC / CLang Publisher's Description
OptiVec contains more than 3500 hand-optimized, Assembler-written functions for all floating-point and integer data types from the following fields:
1. Vectorized form of arithmetic operators and math functions.
2. Matrix operations, e.g.: multiplication, inversion, LU decomposition, singular value decomposition, eigenvalues.
3. Fast Fourier Transform techniques for efficient convolutions, correlation analyses, spectral filtering, etc., both one- and two-dimensional.
4. Curve fitting for a wide range of model functions from simple linear regression to non-linear models with multiple data sets.
5. Statistics.
6. Analysis (derivatives, integrals, extrema, interpolation).
7. Complex number math, both in cartesian and polar format.
The vectorized implementation in Assembler makes OptiVec functions typically 3-5 times faster than compiled source code of the same functionality. In many instances, the numerical accuracy is improved as well.
The object-oriented interface for C++, 'VecObj', offers simplified function calls and increased memory safety.
This version is for Linux with GCC or CLang.
1. Vectorized form of arithmetic operators and math functions.
2. Matrix operations, e.g.: multiplication, inversion, LU decomposition, singular value decomposition, eigenvalues.
3. Fast Fourier Transform techniques for efficient convolutions, correlation analyses, spectral filtering, etc., both one- and two-dimensional.
4. Curve fitting for a wide range of model functions from simple linear regression to non-linear models with multiple data sets.
5. Statistics.
6. Analysis (derivatives, integrals, extrema, interpolation).
7. Complex number math, both in cartesian and polar format.
The vectorized implementation in Assembler makes OptiVec functions typically 3-5 times faster than compiled source code of the same functionality. In many instances, the numerical accuracy is improved as well.
The object-oriented interface for C++, 'VecObj', offers simplified function calls and increased memory safety.
This version is for Linux with GCC or CLang.
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