Handling irreducible loops: optimized node splitting versus DJ-graphs

  • Authors:

  • Sebastian Unger;Frank Mueller

  • Affiliations:

  • North Carolina State University, Raleigh, NC;North Carolina State University, Raleigh, NC

  • Venue:
  • ACM Transactions on Programming Languages and Systems (TOPLAS)
  • Year:
  • 2002

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper addresses the question of how to handle irreducible regions during optimization, which has become even more relevant for contemporary processors since recent VLIW-like architectures highly rely on instruction scheduling. The contributions of this paper are twofold. First, a method of optimized node splitting to transform irreducible regions of control flow into reducible regions is formally defined and its correctness is shown. This method is superior to approaches previously published since it reduces the number of replicated nodes by comparison. Second, three methods that handle regions of irreducible control flow are evaluated with respect to their impact on compiler optimizations. First, traditional node splitting is evaluated. Second, optimized node splitting is implemented. Third, DJ-Graphs are utilized to recognize nesting of irreducible (and reducible) loops and apply common loop optimizations extended for irreducible loops. Experiments compare the performance of these approaches with unrecognized irreducible loops that cannot be subject to loop optimizations, which is typical for contemporary compilers. Measurements show improvements of 1 to 40% for these methods of handling irreducible loops over the unoptimized case. Optimized node splitting may be chosen to retrofit existing compilers since it has the advantage that it only requires few changes to an optimizing compiler while limiting the code growth of compiled programs compared to traditional node splitting. Recognizing loops via DJ-Graphs should be chosen for new compiler developments since it requires more changes to the optimizer but does not significantly change the code size of compiled programs while yielding comparable improvements. Handling irreducible loops should even yield more benefits for exploiting instruction-level parallelism of modern architectures in the context of global instruction scheduling and optimization techniques that may introduce irreducible loops, such as enhanced modulo scheduling.