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Power and thermal limitations make it impossible to run all cores on a multicore system at their maximum frequency. Therefore, modern systems require careful power management. These systems must manage complex tradeoffs between energy, power, and frequency, choosing which cores to accelerate to achieve good performance while maintaining energy efficiency or operating under a power budget. Navigating...
This paper presents a self-aware processor with energy monitoring circuits that can measure actual energy consumption of the key blocks. The monitors are embedded into on-chip DC/DC converters and generate results within 10% of accuracy with minimal power (<0.1%) and area (<1%) overhead. Our system, which is implemented in 0.18µm technology, is designed to be voltage scalable from 1.8V down...
This paper described recent improvements to the Graphite simulator designed to help explore current and emerging research topics. With these improvements, Graphite is ideally suited to explore both power and performance in future multicore and manycore processors, especially those incorporating dynamic runtime monitoring and adaptation. Separate validation of Graphite has shown performance results...
Addressing the challenges of extreme scale computing requires holistic design of new programming models and systems that support those models. This paper discusses the Angstrom processor, which is designed to support a new Self-aware Computing (SEEC) model. In SEEC, applications explicitly state goals, while other systems components provide actions that the SEEC runtime system can use to meet those...
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