VIS Short Papers

Streami: An MPI Data-Parallel Library to Compute Field Lines on GPUs

Stefan Zellmann (University of Cologne), Milan Jaroš (VSB - Technical University of Ostrava), Andrea Paris (NVIDIA Corporation), Ingo Wald (NVIDIA), Tatiana von Landesberger (University of Cologne)

Streamlinesstreaklinesflow-visMPImulti-GPU

Jump to Discussion

Presentation

Session: Big Data, Bigger Physics
Time: Friday, Nov 13, 08:18 – 08:27 (US/Eastern) · session 08:00 – 09:30
Room: Hall America south

Links

Top of the first page of the paper “Streami: An MPI Data-Parallel Library to Compute Field Lines on GPUs”.

Abstract

We present Streami, an extensible GPU-accelerated library for the computation of field lines in fluid flows on high-performance computers. Streami acts as a thin layer used for both post-hoc or in-situ analysis and can interface with existing MPI applications. We discuss Streami’s application programming interface, key design decisions that led to Streami’s high performance and extensibility, as well as extensions to support different fluid flow field representations. We also present a sample application for rapid prototyping and interactive seed point placement. Streami is released under a permissive open-source software license.

For Practitioners

Simulation scientists, GPU engineers We present the design of a software library that is open source (https://github.com/It4innovations/streami)