A capabilities-aware framework for using computational accelerators in data-intensive computing
Journal of Parallel and Distributed Computing
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This paper proposes a single-ISA heterogeneous multi-core architecture as a mechanism to reduce processor power dissipation. It assumes a single chip containing a diverse set of cores that target different performance levels and consume different levels of power. During an application's execution, system software dynamically chooses the most appropriate core to meet specific performance and power requirements. It describes an example architecture with five cores of varying performance and complexity. Initial results demonstrate a five-fold reduction in energy at a cost of only 25% performance.