System Support for Implicitly Parallel Programming

Coordinated Science Laboratory was formerly known as Control Systems Laborator

Exploiting Postdominance for Speculative Parallelization

Task-selection policies are critical to the performance of any architecture that uses speculation to extract paral-lel tasks from a sequential thread. This paper demonstrates that the immediate postdominators of conditional branches provide a larger set of parallel tasks than existing task-selection heuristics, which are limited to programming lan-guage constructs (such as loops or procedure calls). Our evaluation shows that postdominance-based task selection achieves, on average, more than double the speedup of the best individual heuristic, and 33 % more speedup than the best combination of heuristics. The specific contributions of this paper include, first, a description of task selection based on immediate post-dominance for a system that speculatively creates tasks. Second, our experimental evaluation demonstrates that ex-isting task-selection heuristics based on loops, procedure calls, and if-else statements are all subsumed by compiler-generated immediate postdominators. Finally, by demon-strating that dynamic reconvergence prediction closely ap-proximates immediate postdominator analysis, we show that the notion of immediate postdominators may also be useful in constructing dynamic task selection mechanisms.