Thesis icon

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 ...

Expand abstract

Actions


Access Document


Files:

Authors


Contributors

Role:
Supervisor
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford

Terms of use


Metrics


Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP