Dataflow execution of sequential imperative programs on multicore architectures
Gagan Raj Gupta, Gurindar S. Sohi · 2011
As multicore processors become the default, researchers are aggressively looking for program execution models that make it easier to use the available resources. Multithreaded programming models that rely on statically-parallel programs have gained prevalence. Most of the existing research is directed at adapting and enhancing such models, alleviating their drawbacks, and simplifying their usage. This paper takes a different approach and proposes a novel execution model to achieve parallel execution of statically-sequential programs. It dynamically parallelizes the execution of suitably-written sequential programs, in a dataflow fashion, on multiple processing cores. Significantly, the execution is race-free and determinate. Thus the model eases program development and yet exploits available parallelism.