A form that captures precise element-level data flow information for array variables in all cases. It is general and simple, and coincides with standard SSA form when applied to scalar variables. It can also be used for structures and other variable types that can be modelled as arrays. An important application of Array SSA form is in automatic parallelization. We show how Array SSA form can enable parallelization of any loop that is free of loop-carried true data dependences. This includes loops with loop-carried anti and output dependences, unanalyzable subscript expressions, and arbitrary control flow within an iteration. Array SSA form achieves this level of generality by making manifest its phi functions as runtime computations in cases that are not amenable to compile-time analysis.
 Knobe, Kathleen, and Vivek Sarkar. “Array SSA form and its use in parallelization.” Proceedings of the 25th ACM SIGPLAN-SIGACT symposium on Principles of programming languages. ACM, 1998.