Back to Search
Start Over
Message Passing-Aware Power Management on Many-Core Systems
- Source :
- Journal of Low Power Electronics
- Publication Year :
- 2014
- Publisher :
- American Scientific Publishers, 2014.
-
Abstract
- 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 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 voltage and frequency scaling on the performance and power of many-core systems with message passing (MP) based communication, and proposes a power management policy that leverages the communication pattern information to efficiently traverse the search space for finding the optimal voltage and frequency operating point. We conduct experiments on a 48-core Intel Single-Chip Cloud Computer (SCC), as our target many-core platform. The paper first introduces the runtime monitoring infrastructure and the application suite we have designed for an in-depth evaluation of the SCC. We then quantify the effects of frequency perturbations on performance and energy efficiency. Experimental results show that runtime communication patterns lead to significant differences in power/performance tradeoffs in many-core systems with MP-based communication. We show that the proposed power management policy achieves up to the 70% energy-delayproduct (EDP) improvements compared to existing DVFS policies, while meeting the performance constraints.
- Subjects :
- Many-core system
010302 applied physics
Power management
Operating point
business.industry
Computer science
Message passing
Cloud computing
02 engineering and technology
01 natural sciences
020202 computer hardware & architecture
Dynamic voltage and frequency scaling
Shared memory
Embedded system
0103 physical sciences
0202 electrical engineering, electronic engineering, information engineering
Message broker
Electrical and Electronic Engineering
business
Frequency scaling
Efficient energy use
Subjects
Details
- ISSN :
- 15461998
- Volume :
- 10
- Database :
- OpenAIRE
- Journal :
- Journal of Low Power Electronics
- Accession number :
- edsair.doi.dedup.....3426f113e8d1cf376d1de3ca1228edc7