Open Access Journal

ISSN : 2456-1290 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Mechanical and Civil Engineering (IJERMCE)

Monthly Journal for Mechanical and Civil Engineering

ISSN : 2456-1290 (Online)

Call For Paper : Vol 11, Issue 05, May 2024
Accelerating Batched Perfectly Stirred Reactor (PSR) Calculations Using General Purpose Graphics Processing Unit (GPGPU) Computing

Author : Sudip Adhikari 1 Alan Sayre 2 Abhilash J. Chandy 3

Date of Publication :16th May 2017

Abstract: Detailed analysis of efficiency and pollutant emission characteristics of practical turbulent combus- tion devices using complex combustion kinetics often depend on the interactions between the chemistry of both gaseous species and soot, and turbulent flow char- acteristics. Modeling of such combustion system often requires the use of chemical kinetic mechanisms with hundreds of species and thousands of reactions. Per- fectly stirred reactors (PSR) are idealized reactor en- vironments, where the reacting species have high rate of stirring, and the combustion products are uniformly distributed inside the reactor. The fundamental equa- tions describing a PSR constitute systems of highly nonlinear algebraic equations, due to the complex rela- tionship between the net production rate of the species and the species concentration, which ultimately makes the equations stiff, and the solution of such equations become highly compute-intensive leading to the need for a efficient and robust solution algorithms. Graph- ics processing units (GPUs) have widely been used in the past as an effective alternative to central process- ing units (CPUs), and highly parallel threads of GPUs can be used in a efficient manner to improve the al- gorithm performance for speeding up the calculations. A highly parallelized GPU implementation is presented for a batched calculation of PSR model.

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