Zobrazeno 1 - 10
of 508
pro vyhledávání: '"Aykanat, Cevdet"'
Publikováno v:
Molecular BioSystems 2012;8:3224–3231, ISSN: 1742-206X
Determination of cell signalling behaviour is crucial for understanding the physiological response to a specific stimulus or drug treatment. Current approaches for large-scale data analysis do not effectively incorporate critical topological informat
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A27799
https://tud.qucosa.de/api/qucosa%3A27799/attachment/ATT-0/
https://tud.qucosa.de/api/qucosa%3A27799/attachment/ATT-0/
Publikováno v:
In Knowledge-Based Systems 11 January 2024 283
Publikováno v:
In Future Generation Computer Systems September 2023 146:207-221
We propose a novel block-row partitioning method in order to improve the convergence rate of the block Cimmino algorithm for solving general sparse linear systems of equations. The convergence rate of the block Cimmino algorithm depends on the orthog
Externí odkaz:
http://arxiv.org/abs/1710.07769
Publikováno v:
In Journal of Parallel and Distributed Computing January 2021 147:140-151
Autor:
Acer, Seher, Aykanat, Cevdet
Publikováno v:
In Journal of Parallel and Distributed Computing June 2020 140:99-109
Autor:
Özkural, Eray, Aykanat, Cevdet
All-pairs similarity problem asks to find all vector pairs in a set of vectors the similarities of which surpass a given similarity threshold, and it is a computational kernel in data mining and information retrieval for several tasks. We investigate
Externí odkaz:
http://arxiv.org/abs/1402.3010
Publikováno v:
SIAM J. Sci. Comput., 35(3), C237-C262. 2013 (26 pages)
Sparse matrix-vector multiplication (SpMxV) is a kernel operation widely used in iterative linear solvers. The same sparse matrix is multiplied by a dense vector repeatedly in these solvers. Matrices with irregular sparsity patterns make it difficult
Externí odkaz:
http://arxiv.org/abs/1203.2739
The sparse matrix-vector multiplication (SpMxV) is a kernel operation widely used in iterative linear solvers. The same sparse matrix is multiplied by a dense vector repeatedly in these solvers. Matrices with irregular sparsity patterns make it diffi
Externí odkaz:
http://arxiv.org/abs/1202.3856
This whitepaper describes the load-balancing performance issues that are observed and tackled during the petascaling of the Vlasiator codes. Vlasiator is a Vlasov-hybrid simulation code developed in Finnish Meteorological Institute (FMI). Vlasiator m
Externí odkaz:
http://arxiv.org/abs/1111.6324