Loading…

Bandicoot: C++ Library for GPU Linear Algebra and Scientific Computing

This report provides an introduction to the Bandicoot C++ library for linear algebra and scientific computing on GPUs, overviewing its user interface and performance characteristics, as well as the technical details of its internal design. Bandicoot is the GPU-enabled counterpart to the well-known A...

Full description

Saved in:
Bibliographic Details
Published in:arXiv.org 2023-08
Main Authors: Curtin, Ryan R, Edel, Marcus, Sanderson, Conrad
Format: Article
Language:English
Subjects:
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page
container_issue
container_start_page
container_title arXiv.org
container_volume
creator Curtin, Ryan R
Edel, Marcus
Sanderson, Conrad
description This report provides an introduction to the Bandicoot C++ library for linear algebra and scientific computing on GPUs, overviewing its user interface and performance characteristics, as well as the technical details of its internal design. Bandicoot is the GPU-enabled counterpart to the well-known Armadillo C++ linear algebra library, aiming to allow users to take advantage of GPU-accelerated computation for their existing codebases without significant changes. Adapting the same internal template meta-programming techniques that Armadillo uses, Bandicoot is able to provide compile-time optimisation of mathematical expressions within user code. The library is ready for production use and is available at https://coot.sourceforge.io. Bandicoot is distributed under the Apache 2.0 License.
format article
fullrecord <record><control><sourceid>proquest</sourceid><recordid>TN_cdi_proquest_journals_2847574769</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2847574769</sourcerecordid><originalsourceid>FETCH-proquest_journals_28475747693</originalsourceid><addsrcrecordid>eNpjYuA0MjY21LUwMTLiYOAtLs4yMDAwMjM3MjU15mRwc0rMS8lMzs8vsVJw1tZW8MlMKkosqlRIyy9ScA8IBfLzUhOLFBxz0lOBEgpAxQrByZmpeSWZaZnJCs75uQWlJZl56TwMrGmJOcWpvFCam0HZzTXE2UO3oCi_sDS1uCQ-K7-0KA8oFW9kYWJuam5ibmZpTJwqANJTOcI</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2847574769</pqid></control><display><type>article</type><title>Bandicoot: C++ Library for GPU Linear Algebra and Scientific Computing</title><source>Publicly Available Content Database</source><creator>Curtin, Ryan R ; Edel, Marcus ; Sanderson, Conrad</creator><creatorcontrib>Curtin, Ryan R ; Edel, Marcus ; Sanderson, Conrad</creatorcontrib><description>This report provides an introduction to the Bandicoot C++ library for linear algebra and scientific computing on GPUs, overviewing its user interface and performance characteristics, as well as the technical details of its internal design. Bandicoot is the GPU-enabled counterpart to the well-known Armadillo C++ linear algebra library, aiming to allow users to take advantage of GPU-accelerated computation for their existing codebases without significant changes. Adapting the same internal template meta-programming techniques that Armadillo uses, Bandicoot is able to provide compile-time optimisation of mathematical expressions within user code. The library is ready for production use and is available at https://coot.sourceforge.io. Bandicoot is distributed under the Apache 2.0 License.</description><identifier>EISSN: 2331-8422</identifier><language>eng</language><publisher>Ithaca: Cornell University Library, arXiv.org</publisher><subject>C++ (programming language) ; Computation ; Libraries ; Linear algebra ; Optimization</subject><ispartof>arXiv.org, 2023-08</ispartof><rights>2023. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2847574769?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>780,784,25753,37012,44590</link.rule.ids></links><search><creatorcontrib>Curtin, Ryan R</creatorcontrib><creatorcontrib>Edel, Marcus</creatorcontrib><creatorcontrib>Sanderson, Conrad</creatorcontrib><title>Bandicoot: C++ Library for GPU Linear Algebra and Scientific Computing</title><title>arXiv.org</title><description>This report provides an introduction to the Bandicoot C++ library for linear algebra and scientific computing on GPUs, overviewing its user interface and performance characteristics, as well as the technical details of its internal design. Bandicoot is the GPU-enabled counterpart to the well-known Armadillo C++ linear algebra library, aiming to allow users to take advantage of GPU-accelerated computation for their existing codebases without significant changes. Adapting the same internal template meta-programming techniques that Armadillo uses, Bandicoot is able to provide compile-time optimisation of mathematical expressions within user code. The library is ready for production use and is available at https://coot.sourceforge.io. Bandicoot is distributed under the Apache 2.0 License.</description><subject>C++ (programming language)</subject><subject>Computation</subject><subject>Libraries</subject><subject>Linear algebra</subject><subject>Optimization</subject><issn>2331-8422</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNpjYuA0MjY21LUwMTLiYOAtLs4yMDAwMjM3MjU15mRwc0rMS8lMzs8vsVJw1tZW8MlMKkosqlRIyy9ScA8IBfLzUhOLFBxz0lOBEgpAxQrByZmpeSWZaZnJCs75uQWlJZl56TwMrGmJOcWpvFCam0HZzTXE2UO3oCi_sDS1uCQ-K7-0KA8oFW9kYWJuam5ibmZpTJwqANJTOcI</recordid><startdate>20230806</startdate><enddate>20230806</enddate><creator>Curtin, Ryan R</creator><creator>Edel, Marcus</creator><creator>Sanderson, Conrad</creator><general>Cornell University Library, arXiv.org</general><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope></search><sort><creationdate>20230806</creationdate><title>Bandicoot: C++ Library for GPU Linear Algebra and Scientific Computing</title><author>Curtin, Ryan R ; Edel, Marcus ; Sanderson, Conrad</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-proquest_journals_28475747693</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>C++ (programming language)</topic><topic>Computation</topic><topic>Libraries</topic><topic>Linear algebra</topic><topic>Optimization</topic><toplevel>online_resources</toplevel><creatorcontrib>Curtin, Ryan R</creatorcontrib><creatorcontrib>Edel, Marcus</creatorcontrib><creatorcontrib>Sanderson, Conrad</creatorcontrib><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Curtin, Ryan R</au><au>Edel, Marcus</au><au>Sanderson, Conrad</au><format>book</format><genre>document</genre><ristype>GEN</ristype><atitle>Bandicoot: C++ Library for GPU Linear Algebra and Scientific Computing</atitle><jtitle>arXiv.org</jtitle><date>2023-08-06</date><risdate>2023</risdate><eissn>2331-8422</eissn><abstract>This report provides an introduction to the Bandicoot C++ library for linear algebra and scientific computing on GPUs, overviewing its user interface and performance characteristics, as well as the technical details of its internal design. Bandicoot is the GPU-enabled counterpart to the well-known Armadillo C++ linear algebra library, aiming to allow users to take advantage of GPU-accelerated computation for their existing codebases without significant changes. Adapting the same internal template meta-programming techniques that Armadillo uses, Bandicoot is able to provide compile-time optimisation of mathematical expressions within user code. The library is ready for production use and is available at https://coot.sourceforge.io. Bandicoot is distributed under the Apache 2.0 License.</abstract><cop>Ithaca</cop><pub>Cornell University Library, arXiv.org</pub><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier EISSN: 2331-8422
ispartof arXiv.org, 2023-08
issn 2331-8422
language eng
recordid cdi_proquest_journals_2847574769
source Publicly Available Content Database
subjects C++ (programming language)
Computation
Libraries
Linear algebra
Optimization
title Bandicoot: C++ Library for GPU Linear Algebra and Scientific Computing
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-29T18%3A47%3A38IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=document&rft.atitle=Bandicoot:%20C++%20Library%20for%20GPU%20Linear%20Algebra%20and%20Scientific%20Computing&rft.jtitle=arXiv.org&rft.au=Curtin,%20Ryan%20R&rft.date=2023-08-06&rft.eissn=2331-8422&rft_id=info:doi/&rft_dat=%3Cproquest%3E2847574769%3C/proquest%3E%3Cgrp_id%3Ecdi_FETCH-proquest_journals_28475747693%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2847574769&rft_id=info:pmid/&rfr_iscdi=true