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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.

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Last updated 02 Nov 2010Contact TCHPC: info | support.