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Scalable Parallel C++ Conjugate Gradient Linear System Solver Library for Windows and Linux was updated to version 1.70

From Sky89 <Sky89@sky68.com>
Newsgroups comp.programming.threads
Subject Scalable Parallel C++ Conjugate Gradient Linear System Solver Library for Windows and Linux was updated to version 1.70
Date 2018-05-16 19:26 -0400
Organization A noiseless patient Spider
Message-ID <pdi0ks$fn2$7@dont-email.me> (permalink)

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Hello,

Scalable Parallel C++ Conjugate Gradient Linear System Solver
Library for Windows and Linux was updated to version 1.70,
it was more optimized, and this version is much more stable
and scalable and very fast:

Author: Amine Moulay Ramdane

Description:

This library contains a Scalable Parallel implementation of
Conjugate Gradient Dense Linear System Solver library that is
NUMA-aware and cache-aware,  and it contains also a Scalable
Parallel implementation of Conjugate Gradient Sparse Linear
System Solver library that is cache-aware.

Conjugate Gradient is known to converge to the exact solution in n steps 
for a matrix of size n, and was historically first seen as a direct 
method because of this. However, after a while people figured out that 
it works really well if you just stop the iteration much earlier - often 
you will get a very good approximation after much fewer than n steps. In 
fact, we can analyze how fast Conjugate gradient converges. The end 
result is that Conjugate gradient is used as an iterative method for 
large linear systems today.


You can download it from:

https://sites.google.com/site/aminer68/scalable-parallel-c-conjugate-gradient-linear-system-solver-library

Please download the zip file and read the readme file inside the
zip to know how to use it.

Language: GNU C++ and Visual C++ and C++Builder

Operating Systems: Windows, Linux, Unix and Mac OS X on (x86)




Thank you,
Amine Moulay Ramdane.

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Scalable Parallel C++ Conjugate Gradient Linear System Solver Library for Windows and Linux was updated to version 1.70 Sky89 <Sky89@sky68.com> - 2018-05-16 19:26 -0400

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