Skip to main content »

Trinity College Dublin

HPC-Europa: Tutorial on High Performance Visualization of scientific data with MPI and CUDA

High performance visualization of scientific data with MPI and CUDA

Date: 15:00 CET / 14:00 (GMT), Wednesday 3rd November, 2010

Speakers: C. Gheller and M. Rivi, CINECA

The scientific community is presently witnessing an unprecedented growth in the quality and quantity of data sets coming from simulations and real-world experiments. To access effectively and extract the scientific content of such large-scale data sets (often sizes are measured in hundreds or even millions of Gigabytes) appropriate tools are needed. Visual data exploration and discovery is a robust approach for rapidly and intuitively inspecting large-scale data sets, e.g. for identifying new features and patterns or isolating small regions of interest within which to apply time-consuming algorithms. This paper presents a high performance parallelized implementation of Splotch, our previously developed visual data exploration and discovery algorithm for large-scale astrophysical data sets coming from particle-based simulations. Splotch has been improved in order to exploit modern massively parallel architectures, e.g. multicore CPUs? and CUDA-enabled GPUs? We present performance and scalability benchmarks on a number of test cases, demonstrating the ability of our high performance parallelized Splotch to handle efficiently large-scale data sets, such as the outputs of the Millennium II simulation, the largest cosmological simulation ever performed.

For information on connecting, please contact

Last updated 02 Nov 2010Contact Research IT.