(1 + ε)-approximate sparse recovery
Eric Price, David P. Woodruff
FOCS 2011
In this paper, we describe the integrated power, area and thermal modeling framework in the structural simulation toolkit (SST) for large-scale high performance computer simulation. It integrates various power and thermal modeling tools and computes run-time energy dissipation for core, network on chip, memory controller and shared cache. It also provides functionality to update the leakage power as temperature changes. We illustrate the utilization of the framework by applying it to explore interconnect options in manycore systems with consideration of temperature variation and leakage feedback. We compare power, energy-delay-area product (EDAP) and energy-delay product (EDP) of four manycore configurations-1 core, 2 cores, 4 cores and 8 cores per cluster. Results from simulation with or without consideration of temperature variation both show that the 4-core per cluster configuration has the best EDAP and EDP. Even so, considering that temperature variation increases total power dissipation, we demonstrate the importance of considering temperature variation in the design flow. With this power, area and thermal modeling capability, the SST can be used for hardware/software co-design of future exascale systems. © 2011. Published by Oxford University Press on behalf of The British Computer Society. All rights reserved.
Eric Price, David P. Woodruff
FOCS 2011
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