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A Fast Cutting-Plane Algorithm for Optimal Coalescing

  • Daniel Grund
  • Sebastian Hack
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4420)

Abstract

Recent work has shown that the subtasks of register allocation (spilling, register assignment, and coalescing) can be completely separated. This work presents an algorithm for the coalescing subproblem that relies on this separation. The algorithm uses 0/1 Linear Programming (ILP), a general-purpose optimization technique, to derive optimal solutions.

We provide the first optimal solutions for a benchmark called “Optimal Coalescing Challenge”, i.e., our ILP model outperforms previous approaches. Additionally, we use these optimal solutions to assess the quality of well-known heuristics. A second benchmark on SPEC CPU2000 programs emphasizes the practicality of our algorithm.

Keywords

Integer Linear Programming Chordal Graph Integer Linear Programming Model Integer Linear Programming Formulation Register Allocation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Berlin Heidelberg 2007

Authors and Affiliations

  • Daniel Grund
    • 1
  • Sebastian Hack
    • 2
  1. 1.Department of Computer Science, Saarland University 
  2. 2.Department of Computer Science, University of Karlsruhe 

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