Abstract
Structured parallel programming, and in particular programming models using the algorithmic skeleton or parallel design pattern concepts, are increasingly considered to be the only viable means of supporting effective development of scalable and efficient parallel programs. Structured parallel programming models have been assessed in a number of works in the context of performance. In this paper we consider how the use of structured parallel programming models allows knowledge of the parallel patterns present to be harnessed to address both performance and energy consumption. We consider different features of structured parallel programming that may be leveraged to impact the performance/energy trade-off and we discuss a preliminary set of experiments validating our claims.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 23rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing, PDP 2015 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 430-437 |
| Number of pages | 8 |
| ISBN (Print) | 9781479984909 |
| DOIs | |
| Publication status | Published - 2015 |
| Event | 23rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing, PDP 2015 - Turku, Finland Duration: 04 Mar 2015 → 06 Mar 2015 |
Conference
| Conference | 23rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing, PDP 2015 |
|---|---|
| Country/Territory | Finland |
| City | Turku |
| Period | 04/03/2015 → 06/03/2015 |
Keywords
- Algorithmic skeletons
- DVFS
- Energy efficiency
- Parallel design patterns
- Power management
ASJC Scopus subject areas
- Hardware and Architecture
- Computer Networks and Communications
