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Revisiting conventional task schedulers to exploit asymmetry in multi-core architectures for dense linear algebra operations
2017
Parallel Computing
Dealing with asymmetry in the architecture opens a plethora of questions from the perspective of scheduling task-parallel applications, and there exist early attempts to address this problem via ad-hoc strategies embedded into a runtime framework. In this paper we take a different path, which consists in addressing the complexity of the problem at the library level, via a few asymmetry-aware fundamental kernels, hiding the architecture heterogeneity from the task scheduler. For the specific
doi:10.1016/j.parco.2017.06.002
fatcat:ncuqf3ts45a7nbpheisiie2yzy