Dr Satya Pramod Jammy develops open-source SBLI framework for computing high-resolution fluid flow simulations

Dr Satya Pramod Jammy, Associate Professor, Mechanical Engineering, SRM University AP, Andhra Pradesh developed the open-source SBLI framework dedicated to enable computing high-resolution fluid flow simulations in the supersonic regime using high-end desktop systems with GPUs. It enables users to set up the problem to be solved at a high-level with the details similar to what one sees in any textbook and the tool will automatically generate a low-level code that can run on CPUs and GPUs using the OPS library.

Dr Satya Pramod Jammy explains, “It is hosted on GitHub and is available to download free of charge under GNU GPL license (https://opensbli.github.io). I lead the development of OpenSBLI over the last four years as a part of my research. The basic organization of the classes and architecture of the tool is designed along with the automatic code generation. The tool has been transformed over the years starting with a basic version to demonstrate its ability to its current version (V2.0), that is capable of generating codes for around 27 different numerical schemes by changing one line of the setup script. A new version of the framework is under testing and a release is planned in March 2021.”

Advancing the framework, Dr Satya Pramod Jammy informed that the capabilities of the tool are being upgraded constantly. Among other renowned scientists, Dr Gary Coleman, Senior Research Scientist, Computational AeroSciences Branch, NASA Langley Research Center has been using the tool for his scientific research pursuits. Appreciating Dr Satya Pramod Jammy, Dr Coleman said, “I have found the OpenSBLI framework to be an extremely valuable tool in my recent research into the physics and modelling of high-speed wall-bounded turbulent flows. Its combination of efficiency, fidelity, and flexibility has allowed me to perform a thorough case study using local computational resources to produce a vast amount of high-quality data, which I expect will be of great utility to the research community. I am grateful to you for your role in developing this excellent resource.”