Introducing

MtxVec v6

Multicore math engine for science and engineering

Develop with Delphi, C# or C++ and deliver the code speed of assembler.

Comprehensive and fast numerical math library

Support for VS.NET, Embarcadero Delphi and C++ Builder

Statistical and DSP add-ons

MtxVec

Multicore math engine for science and engineering

Data Miner

Artificial intelligence enabling components

Latest News

We are happy to announce the availability of the trial version of the Dew Lab Studio for .NET Framework and .NET Core. All products have been rewritten in C# language and the evaluation versions can be downloaded from the public nuget.org package repository (Search for "Dew.") . With this release Dew Lab Studio occupies a unique position of having a nearly 100% coherent API across multiple languages and platforms: Delphi, C#, C++, FireMonkey, Windows, Linux, iOS, OSX, MacOS and Android, .NET Framework and .NET Core. Regardless of your toolset, you can always find the familiar tools and performance. We also got our sample projects uploaded to github.

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Numerical library for Delphi and .NET developers

Dew Research develops mathematical software for advanced scientific computing trusted by many customers. MtxVec for Delphi, C++ Builder or .NET is alternative for products like Matlab, LabView, OMatrix, SciLab, etc. We offer a high performance math library, statistics library and digital signal processing library (dsp library) for:

Embarcadero/CodeGear Delphi and C++Builder numerical libraries and components
Microsoft .NET components -- including Visual Studio add-ons and a .NET numerical library for C++, C#, and Visual Basic

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Product Features

MtxVec is an object oriented vectorized math library, the core of Dew Lab Studio, featuring a comprehensive set of mathematical and statistical functions executing at impressive speeds.

Designed for large data sets with complete vector/matrix arithmetic, it adds the following capabilities to your development environment:

A comprehensive set of mathematical, signal processing and statistical functions
Substantial performance improvements of floating point math by exploiting the SSE4.2, AVX, AVX2, AVX512 instruction sets offered by modern CPUs.
Solutions based on it scale linearly with core count which makes it ideal for massively parallel systems.
Improved compactness and readability of code.

Support for native 64bit execution gives free way to memory hungry applications
Significantly shorter development times by protecting the developer from a wide range of possible errors.
Direct integration with TeeChart© to simplify and speed up the charting.
No royalty fees for distribution of compiled binaries in products you develop

Displaying large amounts of data

Superconductive memory manager

Linear and cubic interpolation

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Optimized Functions

The base math library uses the LAPACK (Linear Algebra Pack) version optimized for Core Duo and Core i7 CPU’s provided by Intel with their Math Kernel library. Our library is organized into a set of “primitive” highly optimized functions covering all the basic math operations. All higher level algorithms use these basic optimized functions, similar to the way LAPACK uses the Basic Linear Algebra Subprograms (BLAS).

Learn more: MtxVec encapsulates LAPACK

Performance Secrets

Code vectorization

The program achieves substantial performance improvements in floating point arithmetic by exploiting the CPU Streaming SIMD Extensions: SSE4.2, AVX, AVX2 and AVX512 instruction sets. (SIMD = Single Instruction Multiple Data.)

Learn more: Getting up to speed

Super conductive memory management

Effective massively parallel execution is achieved with the help of a super conductive memory management, which features zero thread contention and inter-lock problems allowing linear scaling with number of cores while maintaining low memory consumption and no interference with non-computational parts of the project.

Learn more: Super conductive memory manager

Some of our customers

Bank for International Settlements (BIS)

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