Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
POLO.Jl: Policy-based optimization algorithms in Julia
KTH, Skolan för elektroteknik och datavetenskap (EECS), Intelligenta system, Reglerteknik.
KTH, Skolan för elektroteknik och datavetenskap (EECS), Intelligenta system, Reglerteknik.ORCID-id: 0000-0003-1725-2901
KTH, Skolan för elektroteknik och datavetenskap (EECS), Intelligenta system, Reglerteknik.
2019 (engelsk)Inngår i: Advances in Engineering Software, ISSN 0965-9978, E-ISSN 1873-5339, Vol. 136, artikkel-id 102695Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

We present POLO. j1- a Julia package that helps algorithm developers and machine-learning practitioners design and use state-of-the-art parallel optimization algorithms in a flexible and efficient way. POLO. j1 extends our C+ + library POLO, which has been designed and implemented with the same intentions. POLO. j1 not only wraps selected algorithms in POLO and provides an easy mechanism to use data manipulation facilities and loss function definitions in Julia together with the underlying compiled C+ + library, but it also uses the policy-based design technique in a Julian way to help users prototype optimization algorithms from their own building blocks. In our experiments, we observe that there is little overhead when using the compiled C+ + code directly within Julia. We also notice that the performance of algorithms implemented in pure Julia is comparable with that of their C+ + counterparts. Both libraries are hosted on GitHub(1)under the free MIT license, and can be used easily by pulling the pre-built 64-bit architecture Docker images.(2)

sted, utgiver, år, opplag, sider
Elsevier, 2019. Vol. 136, artikkel-id 102695
HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-260996DOI: 10.1016/j.advengsoft.2019.102695ISI: 000484437800004Scopus ID: 2-s2.0-85073652658OAI: oai:DiVA.org:kth-260996DiVA, id: diva2:1357872
Merknad

QC 20191004

Tilgjengelig fra: 2019-10-04 Laget: 2019-10-04 Sist oppdatert: 2019-11-15bibliografisk kontrollert

Open Access i DiVA

Fulltekst mangler i DiVA

Andre lenker

Forlagets fulltekstScopus

Personposter BETA

Biel, MartinAytekin, ArdaJohansson, Mikael

Søk i DiVA

Av forfatter/redaktør
Biel, MartinAytekin, ArdaJohansson, Mikael
Av organisasjonen
I samme tidsskrift
Advances in Engineering Software

Søk utenfor DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric

doi
urn-nbn
Totalt: 41 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf