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. In this paper, we address the dense-sparse matrix product (DSMP) problem i.e. where the first matrix is dense and the second is sparse. We first present initial versions of loop nest structuredâ€¦ (More)

- Olfa Hamdi-Larbi
- 2010

- Nahid Emad, Olfa Hamdi-Larbi, Z. Mahjoub
- The 3rd ACS/IEEE International Conferenceâ€¦
- 2005

Summary form only given. Sparse matrices are matrices having a large number of zero elements. When such matrices are used, both computing time and memory space may be dramatically reduced by takingâ€¦ (More)

- Ichrak Mehrez, Olfa Hamdi-Larbi, Thomas Dufaud, Nahid Emad
- 2016 IEEE/ACS 13th International Conference ofâ€¦
- 2016

Several applications in numerical scientific computing process sparse matrices with either a regular or irregular structure. The very large size of these matrices requires to use compressing formatsâ€¦ (More)

- Olfa Hamdi-Larbi
- 2007

In this paper, we study the sparse matrix-vector pr duct (SMVP) distribution on a large scale distribu ted system (LSDS). The framework is defined by three steps: pr e-processing, processing and postâ€¦ (More)

- Ichrak Mehrez, Olfa Hamdi-Larbi
- 2013 Eighth International Conference on P2Pâ€¦
- 2013

Sparse Matrix Vector Product (SMVP) is an important kernel in many scientific applications. Since the most common issues in parallel computing are communication and load balancing, our goal is toâ€¦ (More)

- Sana Ezouaoui, Olfa Hamdi-Larbi, Zaher Mahjoub
- 2017 International Conference on High Performanceâ€¦
- 2017

We study the sparse matrix product problem where the input matrices are sparse. Starting with an original DO- loop nest structured algorithm, different versions involving body kernels such as GAXPY,â€¦ (More)

- Ichrak Mehrez, Olfa Hamdi-Larbi, Thomas Dufaud, Nahid Emad
- 2017 International Conference on High Performanceâ€¦
- 2017

Several applications in numerical scientific computing involve very large sparse matrices with a regular or irregular sparse structure. These matrices can be stored using special compression formatsâ€¦ (More)

- Ryma Mahfoudhi, Sami Achour, Olfa Hamdi-Larbi, Zaher Mahjoub
- 2017 International Conference on High Performanceâ€¦
- 2017

There are several approaches for computing the inverse of a dense square matrix, say A, namely Gaussian elimination, block wise inversion, and LU factorization (LUF). The latter is used inâ€¦ (More)

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