STE||AR at Supercomputing 2011

We already wrote about our demos we will show at Supercomputing 2011 next week here. Please come visit us at the LSU booth – 2839. The week at the Supercomputing conference will be an exciting week for our group as it is the first time we present our work to the public. We will demonstrate the HPX (High Performance ParalleX) Runtime System technology which is providing the first freely available, open source implementation of the ParalleX execution model. HPX is solidly based on many years of experience in writing highly parallel applications for HPC systems. It is a modular, feature-complete, and performance oriented representation of the ParalleX execution model targeted at conventional architectures and, currently, Linux based systems, such as SMP nodes and conventional clusters. Continue reading

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HPX vs. OpenMP: Gauss-Seidel Method

[latexpage]

NOTE: This article does not represent the whole truth. Actually OpenMP is better, not all relevant things have been exploited. There will be an updated article as soon as possible!

Many problems can be reduced, or reformulated as such that the solution is equivalent to solving a linear system of equations (LSE) in the form of:

$Ax = b$ where $A \in \mathbb{R}^{NxN}$ and $x, b \in \mathbb{R}^{N}$.

There exist a big variety of algorithms to solve these equations. This post will lay out a possible parallel implementation using HPX and OpenMP of the Gauss-Seidel method. Continue reading

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