Title: High Performance Data Analysis for Parallel Numerical Simulations.
Author: Bruno Raffin, Director of Research, DataMove Team, Inria Grenoble
Abstract:
Large scale numerical simulations are producing an ever growing amount of data that include the simulation results as well as execution traces and logs. These data represent a double challenge.
First, these amounts of data are becoming increasingly difficult to analyse relying on traditional tools. Next, moving these data from the simulation to disks, to latter retrieve them from disks to the analysis machine is becoming increasingly costly in term of time and energy.
And this situation is expected to worsen as supercomputer I/Os and more generally data movements capabilities are progressing more slowly than compute capabilities. While the simulation was at the
center of all attentions, it is now time to focus on high performance data analysis.
This integration of data analytics with large scale simulations represents a new kind of workflow that needs adapted software solutions.
