Paper Info
Title
Studying the impact of application-level optimizations on the power consumption of multi-core architectures
Abstract
This paper studies the overall system power variations of two multi-core architectures, an 8-core Intel and a 32-core AMD workstation, while using these machines to execute a wide variety of sequential and multi-threaded benchmarks using varying compiler optimization settings and runtime configurations. Our extensive experimental study provides insights for answering two questions: 1) what degrees of impact can application level optimizations have on reducing the overall system power consumption of modern CMP architectures; and 2) what strategies can compilers and application developers adopt to achieve a balanced performance and power efficiency for applications from a variety of science and embedded systems domains.
Year
DOI
Venue
2012
10.1145/2212908.2212927
Conf. Computing Frontiers
Keywords
Field
DocType
application developer,balanced performance,wide variety,overall system power consumption,power efficiency,32-core amd workstation,overall system power variation,application level optimizations,embedded systems domain,multi-core architecture,8-core intel,application-level optimizations,embedded system,energy efficient,optimizing compiler,compiler optimization,application development,energy efficiency
Electrical efficiency,Computer architecture,Efficient energy use,Computer science,Parallel computing,Workstation,Compiler,Real-time computing,Optimizing compiler,Multi-core processor,Power consumption
Conference
Citations 
PageRank 
References 
9
0.51
19
Authors
8
Name
Order
Citations
PageRank
Shah Mohammad Faizur Rahman190.51
Jichi Guo2443.31
Akshatha Bhat3110.89
Carlos Garcia491.18
Majedul Haque Sujon5130.94
Qing Yi619011.89
Chunhua Liao733030.72
Daniel Quinlan81398.27