TEAPOT: a toolset for evaluating performance, power and image quality on mobile graphics systems
Proceedings of the 27th international ACM conference on International conference on supercomputing
Application-level voltage and frequency tuning of multi-phase program on the SCC
Proceedings of the 3rd International Workshop on Adaptive Self-Tuning Computing Systems
Reconciling real-time guarantees and energy efficiency through unlocked-cache prefetching
Proceedings of the 50th Annual Design Automation Conference
A hyperscalar dual-core architecture for embedded systems
Microprocessors & Microsystems
Practical models for energy-efficient prefetching in mobile embedded systems
Microprocessors & Microsystems
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Data prefetching has been a successful technique in high-performance computing platforms. However, the conventional wisdom is that they significantly increase energy consumption, and thus not suitable for embedded mobile systems. On the other hand, as modern mobile applications pose an increasing demand for high performance, it becomes essential to implement high-performance techniques, such as prefetching, in these systems. In this paper, we study the impact of prefetching on the performance and energy consumption of embedded mobile systems. Contrary to the conventional wisdom, our findings demonstrate that as technology advances, prefetching can be energy-efficient while improving performance. Furthermore, we have developed a simple but effective analytical model to help system designers to identify the conditions for energy efficiency.