Home > Institute Collections > JSC > tfQMRgpu: A GPU-accelerated linear solver with block-sparse complex result matrix > print

001     1019082
005     20240110120113.0
024 7 _ |a 10.21203/rs.3.rs-3574519/v1
|2 doi
037 _ _ |a FZJ-2023-05135
041 _ _ |a English
082 _ _ |a 620
100 1 _ |a Baumeister, Paul F
|0 P:(DE-Juel1)156619
|b 0
|e Corresponding author
245 _ _ |a tfQMRgpu: A GPU-accelerated linear solver with block-sparse complex result matrix
260 _ _ |a Dordrecht [u.a.]
|c 2023
|b Springer Science + Business Media B.V
336 7 _ |a Preprint
|b preprint
|m preprint
|0 PUB:(DE-HGF)25
|s 1704884446_25300
|2 PUB:(DE-HGF)
336 7 _ |a WORKING_PAPER
|2 ORCID
336 7 _ |a Electronic Article
|0 28
|2 EndNote
336 7 _ |a preprint
|2 DRIVER
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a Output Types/Working Paper
|2 DataCite
520 _ _ |a Linear solvers are a central component of many applications in physics and engineering. In this work we present a software package for simultaneously solving with multiple right-hand sides using the vast compute performance and memory bandwidth of graphical processors. Using the transpose-free quasi minimal residual method iterative linear solving does not require the implementation of an adjoint operator. This C++/CUDA software packet has two ways of being employed. The precompiled version of this library offers linear solving for single and double precision block-sparse complex matrices with interfaces to various programming languages, in particular C, Fortran, Python and Julia. Furthermore, the core algorithm is available for custom implementations of any linear operator as a C++ header-only library. We showcase a matrix-free approach of a custom operator for a finite-difference stencil application solving the three-dimensional Helmholtz equation and compare the performance of the matrix-free approach against the block-sparse matrix version, both on NVIDIA hardware.
536 _ _ |a 5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511)
|0 G:(DE-HGF)POF4-5111
|c POF4-511
|f POF IV
|x 0
588 _ _ |a Dataset connected to CrossRef
700 1 _ |a Nassyr, Stepan
|0 P:(DE-Juel1)172888
|b 1
|u fzj
773 _ _ |a 10.21203/rs.3.rs-3574519/v1
|0 PERI:(DE-600)1479917-0
|x 0920-8542
|y 2023
|t The journal of supercomputing
856 4 _ |u https://www.researchsquare.com/article/rs-3574519/v1
856 4 _ |u https://juser.fz-juelich.de/record/1019082/files/v1_covered_28c5c6a3-f039-4f7e-8402-2e541354b500.pdf
|y Restricted
856 4 _ |u https://juser.fz-juelich.de/record/1019082/files/v1_covered_28c5c6a3-f039-4f7e-8402-2e541354b500.gif?subformat=icon
|x icon
|y Restricted
856 4 _ |u https://juser.fz-juelich.de/record/1019082/files/v1_covered_28c5c6a3-f039-4f7e-8402-2e541354b500.jpg?subformat=icon-1440
|x icon-1440
|y Restricted
856 4 _ |u https://juser.fz-juelich.de/record/1019082/files/v1_covered_28c5c6a3-f039-4f7e-8402-2e541354b500.jpg?subformat=icon-180
|x icon-180
|y Restricted
856 4 _ |u https://juser.fz-juelich.de/record/1019082/files/v1_covered_28c5c6a3-f039-4f7e-8402-2e541354b500.jpg?subformat=icon-640
|x icon-640
|y Restricted
909 C O |p extern4vita
|o oai:juser.fz-juelich.de:1019082
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 0
|6 P:(DE-Juel1)156619
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 1
|6 P:(DE-Juel1)172888
913 1 _ |a DE-HGF
|b Key Technologies
|l Engineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action
|1 G:(DE-HGF)POF4-510
|0 G:(DE-HGF)POF4-511
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-500
|4 G:(DE-HGF)POF
|v Enabling Computational- & Data-Intensive Science and Engineering
|9 G:(DE-HGF)POF4-5111
|x 0
914 1 _ |y 2023
915 _ _ |a Nationallizenz
|0 StatID:(DE-HGF)0420
|2 StatID
|d 2023-08-19
|w ger
915 _ _ |a DEAL Springer
|0 StatID:(DE-HGF)3002
|2 StatID
|d 2023-08-19
|w ger
915 _ _ |a DEAL Springer
|0 StatID:(DE-HGF)3002
|2 StatID
|d 2023-08-19
|w ger
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2023-08-19
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2023-08-19
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2023-08-19
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2023-08-19
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2023-08-19
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2023-08-19
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1160
|2 StatID
|b Current Contents - Engineering, Computing and Technology
|d 2023-08-19
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b J SUPERCOMPUT : 2022
|d 2023-08-19
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
|d 2023-08-19
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
|d 2023-08-19
915 _ _ |a IF < 5
|0 StatID:(DE-HGF)9900
|2 StatID
|d 2023-08-19
920 _ _ |l no
980 _ _ |a preprint
980 _ _ |a EDITORS
980 _ _ |a I:(DE-Juel1)JSC-20090406
980 1 _ |a EXTERN4VITA

LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21