On Memory Footprints of Partitioned Sparse Matrices
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00010669%3A_____%2F17%3AN0000025" target="_blank" >RIV/00010669:_____/17:N0000025 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21240/17:00313818
Result on the web
<a href="https://annals-csis.org/proceedings/2017/drp/70.html" target="_blank" >https://annals-csis.org/proceedings/2017/drp/70.html</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.15439/2017F70" target="_blank" >10.15439/2017F70</a>
Alternative languages
Result language
angličtina
Original language name
On Memory Footprints of Partitioned Sparse Matrices
Original language description
The presented study analyses 563 representative benchmark sparse matrices with respect to their partitioning into uniformly-sized blocks. The aim is to minimize memory footprints of matrices. Different block sizes and different ways of storing blocks in memory are considered and statistically evaluated. Memory footprints of partitioned matrices are additionally compared with lower bounds and the CSR storage format. The average measured memory savings against CSR in case of single and double precision are 42.3 and 28.7 percents, respectively. The corresponding worst-case savings are 25.5 and 17.1 percents. Moreover, memory footprints of partitioned matrices were in average 5 times closer to their lower bounds than CSR. Based on the obtained results, we provide generic suggestions for efficient partitioning and storage of sparse matrices in a computer memory.
Czech name
—
Czech description
—
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
<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
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 2017 Federated Conference on Computer Science and Information Systems
ISBN
978-8-3946-2537-5
ISSN
2325-0348
e-ISSN
2300-5963
Number of pages
9
Pages from-to
513-521
Publisher name
Institute of Electrical and Electronics Engineers Inc.
Place of publication
Neuveden
Event location
Lublin, Polsko
Event date
Sep 3, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000417412800077