Copy Elimination on Data Dependence Graphs - Inria - Institut national de recherche en sciences et technologies du numérique
Communication Dans Un Congrès Année : 2012

Copy Elimination on Data Dependence Graphs

Résumé

Register allocation recently regained much interest due to new decoupled strategies that split the problem into separate phases: spilling, register assignment, and copy elimination. A common assumption of existing copy elimination approaches is that the original ordering of the instructions in the program is not changed. This work presents an extension of a local recoloring technique called Parallel Copy Motion. We perform code motion on data dependence graphs in order to eliminate useless copies and reorder instructions, while at the same time a valid register assignment is preserved. Our results show that even after traditional register allocation with coalescing our technique is able to eliminate an additional 3% (up to 9%) of the remaining copies and reduce the weighted costs of register copies by up to 25% for the SPECINT 2000 benchmarks. In comparison to Parallel Copy Motion, our technique removes 11% (up to 20%) more copies and up to 39% more of the copy costs.
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Dates et versions

hal-00761499 , version 1 (05-12-2012)

Identifiants

Citer

Florian Brandner, Quentin Colombet. Copy Elimination on Data Dependence Graphs. 27th Annual ACM Symposium on Applied Computing (SAC'12), Mar 2012, Trento, Italy. pp.1916-1918, ⟨10.1145/2245276.2232091⟩. ⟨hal-00761499⟩
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