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Improving Fine-Grained Resource Mapping on Tightly Coupled Heterogeneous Multi-cores

Abstract

With increasing power and application demands, heterogeneous multi-core processors are becoming more prevalent. However, the key to proper utilization of heterogeneous multi-cores is assigning, or mapping, the right application to the right core type. Recent work has shown that fine-grained mapping takes advantage of short program phases with highly variant performance requirements, and can elicit greater benefits from tightly coupled heterogeneous multi-cores. This work explores various methods to improve fine-grained mapping techniques to better utilize heterogeneous multi-cores.

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