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Thesis

Distributed computing of large-scale singular value decompositions

Abstract:

Big data projects increasingly make use of networks of heterogeneous computational resources for scientific computing purposes. To meet the requirements of big data applications and harness the power of modern computing architectures, novel highly parallel algorithms for numerical linear algebra computations are needed that rely on as little node synchronicity and data communication as possible. Distributed algorithms are particularly important in situations where the data itself is ...

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Division:
MPLS
Department:
Mathematical Institute
Role:
Author

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Role:
Supervisor
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford
UUID:
uuid:71354241-7659-4de9-b905-4bb3c0a56d77
Deposit date:
2019-04-23

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