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Small Business Innovation Research/Small Business Tech Transfer

A High Performance Chemical Simulation Preprocessor and Source Code Generator

Completed Technology Project

Project Description

A High Performance Chemical Simulation Preprocessor and Source Code Generator Project Image
Numerical simulations of chemical kinetics are a critical component of aerospace research, Earth systems research, and energy research. These simulations enable a better understanding of the evolution of chemical species over time in domains as diverse as climate and weather prediction, combustion simulation, and air quality prediction. The time-to-solution in these simulations can be improved by over 30X via computational accelerators like Graphical Processing Units (GPUs) or the Intel Xeon Phi coprocessor, but the state-of-the-art tools for chemical kinetics do not support accelerators. ParaTools will develop a code generation tool called "Kppa" into a production-grade product that translates a high-level description of a chemical reaction network into simulation code that supports computational accelerators to significantly reduce time-to-solution. The generated code will provide the same software interface as existing tools to ensure immediate compatibility with popular codes like GEOS-Chem, WRF-Chem, MCM, etc. Kppa will include an online user productivity environment called "Kppa Cloud" for the development, testing, and benchmarking of chemical simulation codes. Kppa Cloud will enable users to graphically formulate new chemical reaction networks, maintain a library of chemical mechanisms, develop new mechanisms collaboratively, generate simulation code, explore the computational and numerical characteristics of the generated code, and test the generated code for stability and correctness. Kppa will enable supercomputer-level performance on smaller computers with lower costs, lower barriers to entry, and enable the rapid creation of high-performance kinetics simulations. Kppa will build on open source technologies to be backward compatible with the state-of-the-art in modeling and simulation and employ a modular design enabling extensibility to the computer architectures of the future. More »

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Primary U.S. Work Locations and Key Partners

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