One of the necessary conditions to gain performance improvement through heterogeneous multi-core is to exploit the parallelism in the program. Compiler applies various transformations to the code to achieve execution efficiency. Code optimization is one of the important tasks performed by the compiler before generating the target code. With the availability of various parallel programming models in literature, Intermediate representation (IR) is the key point of applying several optimizations. IR is a form of program which is independent of the source language and the target architecture. There are several IR techniques specifically designed for each compiler framework depending on the input programming language. This article studies the most popular IR techniques for heterogeneous multi-core, classifies them into three broad categories and performs a comparison among them based on the data structure used and their importance in academia and research.
Meena Belwal and TSB, S., “Intermediate representation for heterogeneous multi-core: A survey”, in 2015 International Conference on VLSI Systems, Architecture, Technology and Applications (VLSI-SATA), Amrita School of Engineering, Bengaluru., 2015.