Paper Info
Title
Saving Energy in the LU Factorization with Partial Pivoting on Multi-core Processors
Abstract
In this paper we analyze the trade-off between energy and performance for a data-parallel execution of the LU factorization with partial pivoting on a multi-core processor. To improve energy efficiency, we adapt the runtime in charge of controlling the concurrent execution of the algorithm to leverage DVFS and block idle threads. For a CPU-bounded operation like the LU factorization, experiments on an AMD 8-core processor report a reduction around 5% in energy consumption for the largest problem sizes in exchange for a minor increase in the execution time.
Year
DOI
Venue
2012
10.1109/PDP.2012.28
PDP
Keywords
Field
DocType
execution time,lu factorization,data-parallel execution,energy consumption,saving energy,amd 8-core processor,partial pivoting,cpu-bounded operation,concurrent execution,idle thread,energy efficiency,multi-core processor,multi-core processors,concurrency control,energy efficient,multi core processor,linux,multi core processors,linear algebra,parallel processing,instruction sets,concurrent computing
Instruction set,Computer science,Efficient energy use,Parallel computing,Thread (computing),Pivot element,Concurrent computing,Energy consumption,Multi-core processor,LU decomposition,Distributed computing
Conference
Citations 
PageRank 
References 
4
0.43
0
Authors
5
Name
Order
Citations
PageRank
Pedro Alonso1637.19
Manuel F. Dolz218825.29
Francisco D. Igual363562.51
Rafael Mayo476276.75
Enrique S. Quintana-Orti540532.27