Title :
Analysis of Parallel Algorithms for Energy Conservation in Scalable Multicore Architectures
Author :
Korthikanti, Vijay Anand ; Agha, Gul
Author_Institution :
Dept. of Comput. Sci., Univ. of Illinois at Urbana Champaign, Champaign, IL, USA
Abstract :
This paper analyzes energy characteristics of parallel algorithms executed on scalable multicore processors. Specifically, we provide a methodology for evaluating energy scalability of parallel algorithms while satisfying performance requirements. Four parallel algorithms are analyzed to illustrate our method. We study the sensitivity of our analysis to changes in parameters such as the ratio of power required for computation versus power required for communication. The results suggest that power and performance scalability of a parallel algorithm can be quite different. Our method can be used to determine how many cores to use in order to minimize energy consumption.
Keywords :
microprocessor chips; power aware computing; energy conservation; energy scalability; parallel algorithms; scalable multicore architectures; Algorithm design and analysis; Computer architecture; Computer science; Energy conservation; Energy consumption; Frequency; Multicore processing; Parallel algorithms; Parallel processing; Scalability; Energy; Multicore; Paralle Algorithms; Performance;
Conference_Titel :
Parallel Processing, 2009. ICPP '09. International Conference on
Conference_Location :
Vienna
Print_ISBN :
978-1-4244-4961-3
Electronic_ISBN :
0190-3918
DOI :
10.1109/ICPP.2009.74