TUTCRIS - Tampereen teknillinen yliopisto

TUTCRIS

Analysis of an efficient parallel implementation of active-set Newton algorithm

Tutkimustuotosvertaisarvioitu

Yksityiskohdat

AlkuperäiskieliEnglanti
Sivut1298-1309
Sivumäärä12
JulkaisuJournal of Supercomputing
Vuosikerta75
Numero3
Varhainen verkossa julkaisun päivämäärä19 toukokuuta 2018
DOI - pysyväislinkit
TilaJulkaistu - maaliskuuta 2019
OKM-julkaisutyyppiA1 Alkuperäisartikkeli

Tiivistelmä

This paper presents an analysis of an efficient parallel implementation of the active-set Newton algorithm (ASNA), which is used to estimate the nonnegative weights of linear combinations of the atoms in a large-scale dictionary to approximate an observation vector by minimizing the Kullback–Leibler divergence between the observation vector and the approximation. The performance of ASNA has been proved in previous works against other state-of-the-art methods. The implementations analysed in this paper have been developed in C, using parallel programming techniques to obtain a better performance in multicore architectures than the original MATLAB implementation. Also a hardware analysis is performed to check the influence of CPU frequency and number of CPU cores in the different implementations proposed. The new implementations allow ASNA algorithm to tackle real-time problems due to the execution time reduction obtained.