Multilayer Approach for Joint Direct and Transposed Sparse Matrix Vector Multiplication for Multithreaded CPUs
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F18%3A00314451" target="_blank" >RIV/68407700:21240/18:00314451 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-319-78024-5_5" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-319-78024-5_5</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-78024-5_5" target="_blank" >10.1007/978-3-319-78024-5_5</a>
Alternative languages
Result language
angličtina
Original language name
Multilayer Approach for Joint Direct and Transposed Sparse Matrix Vector Multiplication for Multithreaded CPUs
Original language description
One of the most common operations executed on modern high-perfor-mance computing systems is multiplication of a sparse matrix by a dense vector within a shared-memory computational node. Strongly related but far less studied problem is joint direct and transposed sparse matrix-vector multiplication, which is widely needed by certain types of iterative solvers. We propose a multilayer approach for joint sparse multiplication that balances the workload of threads. Measurements prove that our algorithm is scalable and achieve high computational performance for multiple benchmark matrices that arise from various scientific and engineering disciplines.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Parallel Processing and Applied Mathematics Part I.
ISBN
978-3-319-78023-8
ISSN
0302-9743
e-ISSN
1611-3349
Number of pages
10
Pages from-to
47-56
Publisher name
Springer International Publishing AG
Place of publication
Cham
Event location
Lublin
Event date
Sep 10, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000458563300005