Introduction

MtxVec for VS.NET is an object oriented vectorized C# math library featuring a comprehensive set of mathematical and statistical functions executing at impressive speeds. Just a few of the MtxVec Version v3 features are:

• Supports Visual Studio.NET 2008 and .NET frameworks v2, v3 and v3.5
• Optimized Linear Algebra Package (LAPACK v3.1) numerical library for Intel Core 2
• Vector processes streams of complex numbers and complex variables for higher speed
• Vecorized Math expression parser and evaluator
• Extensive multi-core support for many vector and matrix functions
• fully garbage collected numerical library for C#
• Support for major .NET languages: C#, VB.NET and C++

For more description of MtxVec v3, check the right column on this page.

How Fast is it Really in VS.NET?

Most VS.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.

What's in it for .NET Users?

• Optimizing the performance of .NET code can be a real challenge. Our MtxVec vector math library delivers patterns that allow fast-executing floating-point code to also be written rapidly.
• The advantage of Core 2 SSE4 instruction sets can be exploited only with unmanaged code and only hand-optimized code can be truly optimal. With the help of CPU specific optimizations, the same product delivers optimal performance on all CPUs.
• The software provides an interface to the LAPACK v3.1 numerical library to be used from any .NET language, C#, C++ or VB.NET
• Unmanaged code is encapsulated into thin, efficient wrappers making the code "safe" for the end user, with little or no overhead associated with transitions from managed to unmanaged code. Many difficult-to-trace bugs and performance issues are avoided in this way.
• Inteligent memory management substantially reduces overhead when calling unmanaged code.
• The performance gain against native .NET code can be very big, especially for complex numbers and complex variables.

For a list of functions and the release history, see the links in the right column.