Zobrazeno 1 - 10
of 177
pro vyhledávání: '"Iain S. Duff"'
Publikováno v:
SIAM Journal on Scientific Computing. 42:C23-C42
The factorization of sparse symmetric indefinite systems is particularly challenging since pivoting is required to maintain stability of the factorization. Pivoting techniques generally offer limit...
Publikováno v:
SIAM Journal on Matrix Analysis and Applications. 41:573-590
We develop a novel algorithm for the parallel factorization of an unsymmetric sparse matrix using a Markowitz threshold algorithm. Our algorithm uses a significant extension of a maximum independen...
Autor:
Iain S. Duff
Publikováno v:
Parallel Computing ISBN: 9781003069522
Parallel Computing
Parallel Computing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5682b1e23219ab4c9213263075848d2
https://doi.org/10.1201/9781003069522-9
https://doi.org/10.1201/9781003069522-9
Autor:
Iain S. Duff, Jack Dongarra
We describe the characteristics of several recent computers that employ vectorization or parallelism to achieve high performance in floating-point calculations. We consider both top-of-the-range supercomputers and computers based on readily available
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9756b73fd14fd476c5bcd5ddeaf9e4f1
https://doi.org/10.1201/9781003066767-2
https://doi.org/10.1201/9781003066767-2
Publikováno v:
PARCO
The hybrid scheme block row-projection method implemented in the ABCD Solver is designed for solving large sparse unsymmetric systems of equations on distributed memory parallel computers. The method implements a block Cimmino iterative scheme, accel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff3abd35872b5d071e85ae4c9cee4092
https://doi.org/10.3233/apc200052
https://doi.org/10.3233/apc200052
Publikováno v:
LNCS-Proceedings of ECML PKDD 2019
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases-ECML PKDD 2019
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases-ECML PKDD 2019, Sep 2019, Würzburg, Germany. pp.140-155, ⟨10.1007/978-3-030-46150-8_9⟩
[Research Report] IRIT. 2018
Machine Learning and Knowledge Discovery in Databases ISBN: 9783030461492
ECML/PKDD (1)
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases-ECML PKDD 2019
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases-ECML PKDD 2019, Sep 2019, Würzburg, Germany. pp.140-155, ⟨10.1007/978-3-030-46150-8_9⟩
[Research Report] IRIT. 2018
Machine Learning and Knowledge Discovery in Databases ISBN: 9783030461492
ECML/PKDD (1)
ISBN 978-3-030-46149-2; International audience; We present a multistage procedure to cluster directed and undirected weighted graphs by finding the block structure of their adjacency matrices. A central part of the process is to scale the adjacency m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d2b02650921ce5ddd620cf1ccacb294
https://hal.archives-ouvertes.fr/hal-03003811/document
https://hal.archives-ouvertes.fr/hal-03003811/document
Autor:
Florent Lopez, Iain S. Duff
Publikováno v:
Parallel Processing and Applied Mathematics ISBN: 9783319780238
PPAM (1)
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Parallel Processing and Applied Mathematics
Parallel Processing and Applied Mathematics
PPAM (1)
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Parallel Processing and Applied Mathematics
Parallel Processing and Applied Mathematics
We describe the design of a sparse direct solver for symmetric positive-definite systems using the PaRSEC runtime system. In this approach the application is represented as a DAG of tasks and the runtime system runs the DAG on the target architecture
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b200c61461c26ae9877b71d4544a9661
https://doi.org/10.1007/978-3-319-78024-5_18
https://doi.org/10.1007/978-3-319-78024-5_18
Publikováno v:
Numerical Algebra, Control & Optimization
We describe the development of a prototype code for the solution of large sparse symmetric positive definite systems that is efficient on parallel architectures. We implement a DAG-based Cholesky factorization that offers good performance and scalabi
Publikováno v:
Numerical Analysis and Optimization ISBN: 9783319900254
Numerical Analysis and Optimization
Springer Proceedings in Mathematics & Statistics
Springer Proceedings in Mathematics & Statistics-Numerical Analysis and Optimization
Numerical Analysis and Optimization
Springer Proceedings in Mathematics & Statistics
Springer Proceedings in Mathematics & Statistics-Numerical Analysis and Optimization
We describe our recent work on designing algorithms and software for solving sparse systems using direct methods on parallel computers. This work has been conducted within an EU Horizon 2020 Project called NLAFET. We first discuss the solution of lar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0a11a5e342bb9d293ddb977a993b6134
https://doi.org/10.1007/978-3-319-90026-1_4
https://doi.org/10.1007/978-3-319-90026-1_4
Autor:
Mario Arioli, Iain S. Duff
Publikováno v:
SIAM Journal on Scientific Computing. 37:S544-S561
We study the solution of the linear least-squares problem $\min_x \| b - A x \|^2_2$ where the matrix $A \in {\Bbb R}^{m \times n}$ ($ m \ge n$) has rank $n$ and is large and sparse. We assume that $A$ is available as a matrix, not an operator. The p