Paper Info
Title
Analyzing energy/performance trade-offs with power capping for parallel applications on modern multi and many core processors.
Abstract
In the paper we present extensive results front analyzing energy/performance trade-offs with power capping observed on four different modern CPUs, for three different parallel applications such as 21) heat distribution, numerical integration and Fast Fourier Transform. The CPU tested represent both multi-core type CPUs such as Intel (R) Xeon (R) E5, desktop and mobile i7 as well as many-core Intel (R) Xeon Phi (TM) x200 but also server, desktop and mobile solutions used widely nowadays. We show that using enforced power caps we can find points of lower than default energy consumption but mostly for desktop and mobile solutions at the cost of increased execution time. We show with particular numbers how energy consumed, power consumption and execution time change for the point of minimum energy used versus the default configuration with no power limit, for each application and each tested CPU.
Year
DOI
Venue
2018
10.15439/2018F177
Federated Conference on Computer Science and Information Systems
Field
DocType
ISSN
Data mining,Central processing unit,Computer science,Parallel computing,Server,Numerical integration,Trade offs,Fast Fourier transform,Energy performance,Xeon,Energy consumption
Conference
2325-0348
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Adam Krzywaniak101.01
Jerzy Proficz2318.24
Pawel Czarnul312121.11