An Optimizing Compiler for Parallel Chemistry Simulations

Well designed domain specific languages enable the easy expression of problems, the application of domain specific optimizations, and dramatic improvements in productivity for their users. In this paper we describe a compiler for polymer chemistry, and in particular rubber chemistry, that achieves all of these goals. The compiler allows the development of a system of ordinary differential equations describing a complex rubber reaction – a task that used to require months – to be done in days. The generated code, like much machine generated code, is more complex than human written code, and stresses commercial compilers to the point of failure. However, because of knowledge of the form of ODEs generated, the compiler can perform specialized common sub-expression and other algebraic optimizations that simplifies the code sufficiently to allow it to be compiled (eliminating all but 6.9% of the operations in our largest program) and to provide five times faster performance on our...

• Type: Conference
• Year: 2007
• Where: IPPS
• Authors: Jun Cao, Ayush Goyal, Samuel P. Midkiff, James M. Caruthers
• Keywords: Compiler, Distributed And Parallel Computing, Domain Specific, Generated Code, IPPS 2007