Space-Efficient k-d Tree-Based Storage Format for Sparse Tensors
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F20%3A00341786" target="_blank" >RIV/68407700:21240/20:00341786 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1145/3369583.3392692" target="_blank" >https://doi.org/10.1145/3369583.3392692</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3369583.3392692" target="_blank" >10.1145/3369583.3392692</a>
Alternative languages
Result language
angličtina
Original language name
Space-Efficient k-d Tree-Based Storage Format for Sparse Tensors
Original language description
Computations with tensors are widespread in many scientific areas. Usually, the used tensors are very large but sparse, i.e., the vast majority of their elements are zero. The space complexity of sparse tensor storage formats varies significantly. For overall efficiency, it is important to reduce the execution time and additional space requirements of the initial preprocessing (i.e., converting tensors from common storage formats to the given internal format). The main contributions of this paper are threefold. Firstly, we present a new storage format for sparse tensors, which we call the succinct k-d tree-based tensor (SKTB) format. We compare the space complexity of common tensor storage formats and of the SKTB format and demonstrate the viability of using a tree as a data structurefor sparse tensors. Secondly, we present a parallel space-efficient algorithm for converting tensors to the SKTB format. Thirdly, we demonstrate the computational efficiency of the proposed format in sparse tensor-vector multiplication.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
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/EF16_019%2F0000765" target="_blank" >EF16_019/0000765: Research Center for Informatics</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2020
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 29th International Symposium on High-Performance Parallel and Distributed Computing
ISBN
978-1-4503-7052-3
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
29-33
Publisher name
Association for Computing Machinery
Place of publication
New York
Event location
Stockholm
Event date
Jun 23, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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