Knowledge Base

Code vectorization is where high performance computing starts

Second step of code optimization after applying code vectorization is called block processing

Simplify the use of numerical algorithms

The computing standard for linear algebra is included

MtxVec includes vectorized functions working on complex and real numbers

The way to massively parallel computation

It was Delphi 2006 that first introduced the ability to overload operators on records. This feature enabled MtxVec to add high performance support for using vectors, matrices and complex numbers in expressions.

MtxVec expression evaluator can be used to evaluate individual expressions or it can evaluate a list of expressions (a script).

Display matrices in a grid and draw charts from variables from within the debugger

Open CL is a standard designed to make it easier to write high-performance code for GPU/CPU devices and make that code portable across different GPU devices. MtxVec implements all standard math functions.