Supercomputing 2011 ParalleX Demos using HPX

The STE||AR group will present two HPX demos at Supercomputing 2011 (LSU booth – 2839). These demos will highlight some of the capabilities any HPX application gains for free: active power management and automatic load balancing. If you are planning to visit Seattle for SC11 this year, please feel free to stop by. We will be happy to show you some of the possibilities of our parallel runtime system HPX. Continue reading

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Strong Scaling of HPX and MPI AMR

We compared an application which is using a 3-D adaptive mesh refinement (AMR) algorithm to solve the semi-linear wave equation with exponent p = 7 with second order finite differencing in space and Runge-Kutta third order integration in time. We implemented this application using conventional techniques based on MPI and using HPX. The figures below show a comparison of the strong scaling behavior of both applications. Continue reading

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STE||AR–A New Name for Our Group

STE||AR (pronounced as stellar) stands for “Systems Technologies, Emergent Parallelism, and Algorithms Research”. We decided to use this name for our group because the focus of our work has shifted over the last months. We are a group of faculty, researchers and students working at the Center of Computation and Technology (CCT) at Louisiana State University (LSU). Everything we do is centered around the ParalleX execution model and its implementation in our experimental runtime system HPX (High Performance ParalleX). We use HPX for a broad range of scientific applications, helping scientists and developers to write code which scales better and shows better performance if compared to more conventional programming models such as MPI. Continue reading

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