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- Rukhsana Shahnaz, Anila Usman, Imran R. Chughtai
- 2006 IEEE International Conference on Cluster…
- 2006

The sparse matrix vector product (SMVP) is the kernel operation in many scientific applications. This kernel is an irregular problem, which has led to the development of several compressed storage formats. This paper discusses scalable implementations of sparse matrix-vector products, which are crucial for high performance solutions of large-scale linear… (More)

- Zubaria Noreen, Irfan Hameed, Anila Usman
- FIT
- 2009

A database is considered as a core asset of an organization. Information about customers, employees and employers of the organization is stored in the database. Allowing authorized access to information and it's shielding against unauthorized access is always given prime importance and is of great concern to the stakeholders of the organization. The work… (More)

- Rukhsana Shahnaz, Anila Usman
- Int. Arab J. Inf. Technol.
- 2011

The present paper discusses the implementations of sparse matrix-vector products, which are crucial for high performance solutions of large-scale linear equations, on a PC-Cluster. Three storage formats for sparse matrices compressed row storage, block compressed row storage and sparse block compressed row storage are evaluated. Although using BCRS format… (More)

- Mikel Luján, Anila Usman, Patrick Hardie, T. L. Freeman, John R. Gurd
- International Conference on Computational Science
- 2005

- Anila Usman, Mikel Luján, Len Freeman, John R. Gurd
- HPCC
- 2006

- Aqsa Saeed Qureshi, Asifullah Khan, Aneela Zameer, Anila Usman
- Appl. Soft Comput.
- 2017

- A. Usman, M. Lujan, L. Freeman
- 2005 International Conference on Information and…
- 2005

Sparse matrices are pervasive in many Computational Science and Engineering (CS&E) applications. There is a significant number of storage formats used to represent sparse matrices. This paper presents a performance evaluation of storage formats for the main kernel of iterative methods for numerical linear algebra, namely matrix-vector multiplication.… (More)

- Muhammad Taimoor Khan, Anila Usman
- ArXiv
- 2009

Sparse storage formats are techniques for storing and processing the sparse matrix data efficiently. The performance of these storage formats depend upon the distribution of non-zeros, within the matrix in different dimensions. In order to have better results we need a technique that suits best the organization of data in a particular matrix. So the… (More)

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