國立虎尾科技大學 |

Language: English

Back to Search results for [ subject:"CUDA (Computer architecture)" ]

Programming in parallel with CUDA = a practical guide /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Programming in parallel with CUDA/ Richard Ansorge.
Reminder of title:	a practical guide /
Author:	Ansorge, Richard.
Published:	Cambridge, United Kingdom ; New York, NY, USA :Cambridge University Press, : 2022.,
Description:	xxi, 454 p. :ill., digital ; : 26 cm.;
Notes:	Title from publisher's bibliographic system (viewed on 07 Apr 2022).
Subject:	Parallel programming (Computer science) -
Online resource:	https://doi.org/10.1017/9781108855273
ISBN:	9781108855273

Programming in parallel with CUDA = a practical guide /
Ansorge, Richard.

Programming in parallel with CUDAa practical guide /[electronic resource] :Richard Ansorge. - Cambridge, United Kingdom ; New York, NY, USA :Cambridge University Press,2022. - xxi, 454 p. :ill., digital ;26 cm.

Title from publisher's bibliographic system (viewed on 07 Apr 2022).

CUDA is now the dominant language used for programming GPUs, one of the most exciting hardware developments of recent decades. With CUDA, you can use a desktop PC for work that would have previously required a large cluster of PCs or access to a HPC facility. As a result, CUDA is increasingly important in scientific and technical computing across the whole STEM community, from medical physics and financial modelling to big data applications and beyond. This unique book on CUDA draws on the author's passion for and long experience of developing and using computers to acquire and analyse scientific data. The result is an innovative text featuring a much richer set of examples than found in any other comparable book on GPU computing. Much attention has been paid to the C++ coding style, which is compact, elegant and efficient. A code base of examples and supporting material is available online, which readers can build on for their own projects.

ISBN: 9781108855273Subjects--Topical Terms:

557472
Parallel programming (Computer science)

LC Class. No.: QA76.642 / .A57 2022

Dewey Class. No.: 005.275

Programming in parallel with CUDA = a practical guide /
LDR:01799nam a2200241 a 4500 001 1096610
003 UkCbUP
005 20220511112709.0
006 m d
007 cr nn 008maaau
008 221229s2022 enk o 1 0 eng d
020 $a 9781108855273 $q (electronic bk.)
020 $a 9781108479530 $q (hardback)
035 $a CR9781108855273
040 $a UkCbUP $b eng $c UkCbUP $d GP
050 0 0 $a QA76.642 $b .A57 2022
082 0 0 $a 005.275 $2 23
090 $a QA76.642 $b .A622 2022
100 1 $a Ansorge, Richard. $3 1405867
245 1 0 $a Programming in parallel with CUDA $h [electronic resource] : $b a practical guide / $c Richard Ansorge.
260 $a Cambridge, United Kingdom ; New York, NY, USA : $b Cambridge University Press, $c 2022.
300 $a xxi, 454 p. : $b ill., digital ; $c 26 cm.
500 $a Title from publisher's bibliographic system (viewed on 07 Apr 2022).
520 $a CUDA is now the dominant language used for programming GPUs, one of the most exciting hardware developments of recent decades. With CUDA, you can use a desktop PC for work that would have previously required a large cluster of PCs or access to a HPC facility. As a result, CUDA is increasingly important in scientific and technical computing across the whole STEM community, from medical physics and financial modelling to big data applications and beyond. This unique book on CUDA draws on the author's passion for and long experience of developing and using computers to acquire and analyse scientific data. The result is an innovative text featuring a much richer set of examples than found in any other comparable book on GPU computing. Much attention has been paid to the C++ coding style, which is compact, elegant and efficient. A code base of examples and supporting material is available online, which readers can build on for their own projects.
650 0 $a Parallel programming (Computer science) $3 557472
650 0 $a CUDA (Computer architecture) $3 1158423
856 4 0 $u https://doi.org/10.1017/9781108855273

based on 0 review(s)

Multimedia

Reviews

Add a review and share your thoughts with other readers

Export

pickup library