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.
Quantifying the impact of frequency scaling on the energy efficiency of the single-chip cloud computer
2012 / IEEE / 978-1-4577-2145-8
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.
Power Aware Computing
Dynamic Frequency And Voltage Scaling
Single-chip Many-core System
Message Passing Interface
Single-chip Cloud Computer
Run-time Monitoring Infrastructure
Run Time Communication Pattern
Time Frequency Analysis
Artificial Neural Networks
Application Program Interfaces
Shared Memory Systems
Shared Memory Communication