Mapping a Single Assignment Programming Language to Recon gurable Systems

Abstract

Abstract. This paper presents the high level, machine independent, algorithmic, single-assignment programming language SA-C and its optimizing compiler targeting recon gurable systems. SA-C is intended for Image Processing applications. Language features are introduced and discussed. The intermediate forms DDCF, DFG and AHA, used in the optimization and code-generation phases are described. Conventional and recon gurable system speci c optimizations are introduced. The code generation process is described. The performance for these systems is analyzed, using a range of applications from simple Image Processing Library functions to more comprehensive applications, such as the ARAGTAP target acquisition prescreener