Specialized Interprocedural Analysis For Scientific Applications
Presentation Date
4-10-2019
Degree Program
Computing, PhD
Major Advisor Name
Catherine Olschanowsky
Type of Submission
Scholarly Poster
Abstract
Scientific applications follow some well-known execution patterns. The patterns, such as using function pointers for model configuration, pose challenges for general purpose tools. Many analyses are too expensive to employ in this case. However, we hypothesize that it is possible to use the patterns to run expensive analysis on specific portions of the code, reducing the cost and improving the benefit. We propose to build a customizable compiler for optimizing scientific applications. The compiler will run analyses that are typically considered too expensive. This analysis would form the basis for accurate optimizations there by increasing performance of such scientific applications.
