Version: 1.086 Last Updated: 15 Jul 2017 Release: 28 Jan 2008 Category: Programming
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KonstSolver Details
Works on: Windows 10 | Windows 8.1 | Windows 8 | Windows 7 | Windows XP | Windows 2000 | Windows 2003 | Windows 2008 | Windows Vista | Windows 2012 SHA1 Hash: 735dec16111ce7d181f4f68ba429df738addcb18 Size: 594 bytes File Format: exe
Rating: 2.304347826
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based on 23 user ratings
Publisher Website: External Link Downloads: 1382 License: Demo / Trial Version
KonstSolver is a demo software by Konstresearch and works on Windows 10, Windows 8.1, Windows 8, Windows 7, Windows XP, Windows 2000, Windows 2003, Windows 2008, Windows Vista, Windows 2012.
You can download KonstSolver which is 594 bytes in size and belongs to the software category Programming. KonstSolver was released on 2008-01-28 and last updated on our database on 2017-07-15 and is currently at version 1.086.
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KonstSolver Description
KonstSolver is a high-performance vector and matrix library for .NET (C#, C++, and VB), thread based, 100% managed code. A parallel LU algorithm for solving dense systems of linear equations of the form Ax = b provides amazing speedup on multicore and multiprocessor computers. KonstSolver allows the following parallel matrix/vector operations: add, subtract, multiply vector and/or matrix, divide by constant, etc.
Many modern PCs and servers have multicore or multiprocessor hardware available, but sequential algorithms cannot be run in parallel without using special techniques. It is necessary to divide a code into subtasks and run them on different threads.
KonstSolver is an easy to use, intuitive, and predictable library that allows use of matrix/vector/constant operators +, -, *, / in the standard way. Such algorithms are parallel and optimized for .NET platforms.
Amdahl's Law works! This means that vector and matrix operations can be parallelized with very high speedup. Even such low-granular tasks as LU decomposition for solving dense linear equations can be done effectively. KonstSolver will make your software faster, more reliable, and more precise. The library is extensible and allows you to build custom classes over existing infrastructure.
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