Analysis of Memory Footprints of Sparse Matrices Partitioned Into Uniformly-Sized Blocks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00010669%3A_____%2F18%3AN0000012" target="_blank" >RIV/00010669:_____/18:N0000012 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21240/18:00322994
Result on the web
<a href="https://www.researchgate.net/publication/327698036_Analysis_of_Memory_Footprints_of_Sparse_Matrices_Partitioned_Into_Uniformly-Sized_Blocks" target="_blank" >https://www.researchgate.net/publication/327698036_Analysis_of_Memory_Footprints_of_Sparse_Matrices_Partitioned_Into_Uniformly-Sized_Blocks</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.12694/scpe.v19i3.1358" target="_blank" >10.12694/scpe.v19i3.1358</a>
Alternative languages
Result language
angličtina
Original language name
Analysis of Memory Footprints of Sparse Matrices Partitioned Into Uniformly-Sized Blocks
Original language description
The presented study analyses memory footprints of 563 representative benchmark sparse matrices with respect to their partitioning into uniformly-sized blocks. Different block sizes and different ways of storing blocks in memory are considered and statistically evaluated. Memory footprints of partitioned matrices are then compared with their lower bounds and CSR, index-compressed CSR, and EBF storage formats. The results show that block-based storage formats may significantly reduce memory footprints of sparse matrices arising from a wide range of application domains. Additionally, measured consistency of results is presented and discussed, benefits of individual formats for storing blocks are evaluated, and an analysis of best-case and worst-case matrices is provided for in-depth understanding of causes of memory savings of block-based formats.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GA16-16772S" target="_blank" >GA16-16772S: Development of symmetry-guided methods for first principle modeling of medium-mass atomic nuclei</a><br>
Continuities
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
Name of the periodical
Scalable Computing: Practice and Experience
ISSN
1895-1767
e-ISSN
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Volume of the periodical
19
Issue of the periodical within the volume
3
Country of publishing house
RO - ROMANIA
Number of pages
17
Pages from-to
275-291
UT code for WoS article
000444726800005
EID of the result in the Scopus database
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