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Scheduling (ir)regular applications on heterogeneous platforms
Mariano, Artur Miguel MatosDissertação de mestrado em Engenharia de Informática ; Current computational platforms have become continuously more and more heterogeneous and parallel over the last years, as a consequence of incorporating accelerators whose architectures are parallel and different from the CPU. As a result, several frameworks were developed to aid to program these platforms mainly targeting better productivity ratios. In th...
A (ir)regularity-aware task scheduler for heterogeneous platforms
Mariano, Artur; Alves, Ricardo; Barbosa, João; Santos, Luís Paulo; Proença, Alberto JoséThis paper addresses the design, implementation and validation of an e ective scheduling scheme for both regular and irregular applications on heterogeneous platforms. The scheduler uses an empirical performance model to dynamically schedule the workload, organized into a given number of chunks, and follows the Heterogeneous Earliest Finish Time (HEFT) scheduling algorithm, which ranks the tasks based on both t...
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