
MtxVec v6
With Delphi, C# or C++ quickly deliver 10x faster code with AI conversion to MtxVec
Comprehensive and fast numerical math library
Support for VS.NET, Embarcadero Delphi and C++ Builder
Statistical and DSP add-ons
Latest News
Dew Lab Studio 2025 Update R3
Written on
We are happy to announce availability of the R3 update of Dew Lab Studio 2025 targeting RAD Studio 12.3. A major new feature is the introduction of compound expressions for saturated integer, smallint and byte arithmethic. Some work has also been done to improve the probability, that the AI engines will produce compilable code for MtxVec. Performance improvements on a selected few compound expressions doing math with 64bit precision before being clamped to 32bit while running on AVX512 can be seen here:



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
Product Features
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A comprehensive set of mathematical, signal processing and statistical functions
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Substantial performance improvements of floating point math by exploiting the SSE4.2, AVX, AVX2, AVX512 instruction sets offered by modern CPUs.
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Solutions based on it scale linearly with core count which makes it ideal for massively parallel systems.
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Improved compactness and readability of code.
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Support for native 64bit execution gives free way to memory hungry applications
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Significantly shorter development times by protecting the developer from a wide range of possible errors.
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Direct integration with TeeChart© to simplify and speed up the charting.
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No royalty fees for distribution of compiled binaries in products you develop
Optimized Functions
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.)