Multicore math engine for science and engineering
MtxVec for .NET, also called Dew Math for .NET, is an object oriented math library rewritten for C# and .NET developers that offers a wide set of matrix and vector math operations. The library provides a broad set of vectorized numeric functions which include sparse matrices, complex numbers, probabilities, a math parser, optimization unit, SVD, QR, LQ, and LU solvers and special functions. Applications using this library gain the benefit of CPU-specific code optimization and symmetric multiprocessing. Efficient management of memory and support for 64bit native mode increase performance of your applications.
Overview
- Use pure C# (100% full source code) or high performance external dlls
- Full hardware acceleration on Windows (32bit and 64bit) and Linux OS (64bit). Runs with Intel AVX, AVX2 and AVX512 optimized codepaths, chosing the best codepath depending on the underlying hardware.
- With .NET Core use common source to compile your applications for Windows, Mac OS, iOS / iPhone, Android and Linux. The full source version is called MtxVec Core Edition.
- Supports .NET framework v2.0-4.8 , .NET Core 5.0 and .NET Core 6.0.
- Support for 64bit native mode execution
- Internally multi-threaded for linear algebra, FFT, digital filtering and many other algorithms.
- Optimized Linear Algebra Package (LAPACK v3.7) numerical library
- Vector processes streams of complex numbers and complex variables for higher speed
- Visual Studio .NET and Visual Studio Code integration.
- Extensive XMLDoc based tooltips for .NET Core projects.
- Vecorized Math expression parser and evaluator
- Support for major .NET languages: C#, VB.NET and C++
- Various optimization and fitting algorithms allow solution to a large set of problems
- Integrated debugging support with tooltips and debugger visualizers to speed up your development
- Garbage collected numerical library for C#
- Super conductive memory allocation support allows 100% thread concurrency for arbitrary thread count outperforming garbage collector
- Compatible with the .NET Parallel Extensions and Task Parallel library.
- Allow runtime selection of algorithm precision (single or double)
- Includes Cougar Open CL an Open CL library with over 2000 Open CL kernels.
Most .NET users observe typical performance improvements of 3X to 4X for vector functions, but speed increases up to 20X are often obtained. The matrix multiplication, for example, is up to 30X faster. Especially the vectorized math expression evaluator is very fast without a known competitor when it comes to speed.
