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The objective of software pipelining is to generate code which can maximally exploit instruction-level parallelism (ILP) in modern multiissue processor architectures, such as VLIW and superscalar processors. Since the amount of ILP is usually fixed to a small number, four — eight, using state-of-the-art software pipelining scheduling techniques, modern compilers have been able to schedule instructions in a small window of successive iterations and keep the machine resources usefully busy. To maximally take advantage of software pipelining, it is beneficial if the number of iterations of the loops to be software pipelined is large (called trip counts in this paper). Therefore, software pipelining of nested loops becomes important, especially when the innermost loops have smaller trip counts.

Pipelining-dovetailing: A transformation to enhance software pipelining for nested loops