2016/08/30 by Kukreja, Navjot, Louboutin, Mathias, Vieira, Felippe +3 · 1 citation
#FOS: Computer and information sciences #Mathematical Software (cs.MS) #Performance (cs.PF)
paper · doi:10.48550/arxiv.1608.08658
Domain specific languages have successfully been used in a variety of fields to cleanly express scientific problems as well as to simplify implementation and performance opti- mization on different computer architectures. Although a large number of stencil languages are available, finite differ- ence domain specific languages have proved challenging to design because most practical use cases require additional features that fall outside the finite difference abstraction. Inspired by the complexity of real-world seismic imaging problems, we introduce Devito, a domain specific language in which high level equations are expressed using symbolic expressions from the SymPy package. Complex equations are automatically manipulated, optimized, and translated into highly optimized C code that aims to perform compa- rably or better than hand-tuned code. All this is transpar- ent to users, who only see concise symbolic mathematical expressions.