Streami: An MPI Data-Parallel Library to Compute Field Lines on GPUs
This work provides a practical tool for researchers and engineers needing efficient field line computation in fluid dynamics, but it is an incremental contribution as it combines existing techniques (GPU acceleration, MPI) into a library.
Streami is a GPU-accelerated library for computing field lines in fluid flows on HPC systems, designed for both post-hoc and in-situ analysis with MPI integration. It achieves high performance and extensibility, supporting various fluid flow field representations.
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.