IU HPC Improves Combustion Simulation using Big Red II Supercomputer
Project Leads: John Deur, Siddhartha Banerjee (Cummins)
Research made possible by: High Performance Systems (HPS), Scientific Applications and Performance Tuning (SciAPT), Big Red II supercomputer
In order to account for combustion chemistry of complex fuels inside a combustion chamber, a GPU is employed to calculate reaction rates (chemical kinetics). Without GPU based solver big mechanism (>1000 species) CPU based ODE solver can not practically solve combustion chemistry. With GPU based chemistry solver, it is now possible to improve ignition predictions of new fuels and understand formation of soot pre-cursors of minor species
Chemical kinetic mechanisms are needed to represent conventional and next-generation fuels in practical combustion devices like internal combustion engines.
Chemical kinetic mechanisms (or models) are developed using ab. initio calculations and fundamental measurements of species-thermodynamic properties and reaction rates.
The High Performance Systems (HPS) group implements, operates, and supports some of the fastest supercomputers in the world – IU’s Big Red II, the Quarry cluster, Karst, and the large memory Mason system – in order to advance Indiana University's mission in research, training, and engagement in the state. HPS also supports databases and database engines used by the IU community.
The mission of the Scientific Applications and Performance Tuning (SciAPT) group is to deliver and support software tools that promote effective and efficient use of IU's advanced cyberinfrastructure which, in turn, improves research and enables discoveries.
NSF GSS Codes:
Primary Field: Industrial and Manufacturing Engineering (108)