Your Search Results

Use this resource - and many more! - in your textbook!

AcademicPub holds over eight million pieces of educational content for you to mix-and-match your way.

Experience the freedom of customizing your course pack with AcademicPub!
Not an educator but still interested in using this content? No problem! Visit our provider's page to contact the publisher and get permission directly.

Quantifying the impact of frequency scaling on the energy efficiency of the single-chip cloud computer

By: Sadri, M.; Bartolini, A.; Benini, L.; Coskun, A.K.; Furst, J.;

2012 / IEEE / 978-1-4577-2145-8

Description

This item was taken from the IEEE Conference ' Quantifying the impact of frequency scaling on the energy efficiency of the single-chip cloud computer ' Dynamic frequency and voltage scaling (DVFS) techniques have been widely used for meeting energy constraints. Single-chip many-core systems bring new challenges owing to the large number of operating points and the shift to message passing interface (MPI) from shared memory communication. DVFS, however, has been mostly studied on single-chip systems with one or few cores, without considering the impact of the communication among cores. This paper evaluates the impact of frequency scaling on the performance and power of many-core systems with MPI. We conduct experiments on the Single-Chip Cloud Computer (SCC), an experimental many-core processor developed by Intel. The paper first introduces the run-time monitoring infrastructure and the application suite we have designed for an in-depth evaluation of the SCC. We provide an extensive analysis quantifying the effects of frequency perturbations on performance and energy efficiency. Experimental results show that run-time communication patterns lead to significant differences in power/performance tradeoffs in many-core systems with MPI.