# Leveraging HPX on the Raspberry Pi Platform

By Jesse Goncalves

This summer, with support from the National Science Foundation and LSU’s Center for Computation and Technology, I sought to leverage HPX on a Raspberry Pi cluster, the objective being to show that the C++ library and run-time system ports to even the Continue reading

GD Star Rating

# On Display…

HPX is making its Museum Debut!  A variation of the HPX + LibGeoDecomp demo, vanDouken  (Highly Parallel Interactive Image Flow), is being installed in an interactive museum exhibit designed to inspire 5th through 8th graders to become interested in the natural sciences and engineering.  This demo (which we originally wrote about here) allows users to insert “forces” on a particle in cell code by swiping a finger across a tablet which interfaces with the simulation.  This particular demonstration has been enhanced so that visitors will be able to not only interact with the image but will be able to change the settings of the force fields using a graphical programing environment.  The setup is being displayed at the Nuremberg Museum for Industrial Culture.  A video of the demonstration with the GUI can be seen here.  For more videos and information visit the vanDouken site at http://vandouken.github.io/

GD Star Rating

# 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

GD Star Rating