Profiling high performance dense linear algebra algorithms on multicore architectures for power and energy efficiency

Hatem Ltaief, Piotr R. Luszczek, Jack Dongarra

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

This paper presents the power profile of two high performance dense linear algebra libraries i.e., LAPACK and PLASMA. The former is based on block algorithms that use the fork-join paradigm to achieve parallel performance. The latter uses fine-grained task parallelism that recasts the computation to operate on submatrices called tiles. In this way tile algorithms are formed. We show results from the power profiling of the most common routines, which permits us to clearly identify the different phases of the computations. This allows us to isolate the bottlenecks in terms of energy efficiency. Our results show that PLASMA surpasses LAPACK not only in terms of performance but also in terms of energy efficiency. © 2011 Springer-Verlag.
Original languageEnglish (US)
Pages (from-to)277-287
Number of pages11
JournalComputer Science - Research and Development
Volume27
Issue number4
DOIs
StatePublished - Aug 31 2011

ASJC Scopus subject areas

  • Computer Science(all)

Fingerprint

Dive into the research topics of 'Profiling high performance dense linear algebra algorithms on multicore architectures for power and energy efficiency'. Together they form a unique fingerprint.

Cite this