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Criticality-Aware Dynamic Task Scheduling for Heterogeneous Architectures
2015
Proceedings of the 29th ACM on International Conference on Supercomputing - ICS '15
Current and future parallel programming models need to be portable and efficient when moving to heterogeneous multicore systems. OmpSs is a task-based programming model with dependency tracking and dynamic scheduling. This paper describes the OmpSs approach on scheduling dependent tasks onto the asymmetric cores of a heterogeneous system. The proposed scheduling policy improves performance by prioritizing the newly-created tasks at runtime, detecting the longest path of the dynamic task
doi:10.1145/2751205.2751235
dblp:conf/ics/ChronakiRBALV15
fatcat:xexe2dlta5eupnvjhw5psick34