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| Content Provider | IEEE Xplore Digital Library | 
|---|---|
| Author | Mahfoudhi, R. Mahjoub, Z. Nasri, W. | 
| Copyright Year | 2012 | 
| Description | Author affiliation: University of Tunis El Manar, Faculty of Sciences of Tunis, Manar II 2092, Tunis, Tunisia (Mahfoudhi, R.; Mahjoub, Z.) || Higher School of Sciences and Techniques of Tunis, (ESSTT), Montfleury-Tunis 1008, Tunisia (Nasri, W.) | 
| Abstract | We address in this paper the parallelization of a recursive algorithm for triangular matrix inversion (TMI) based on the ‘Divide and Conquer’ (D&C) paradigm. A series of different versions of an original sequential algorithm are first presented. A theoretical performance study permits to establish an accurate comparison between the designed algorithms. Afterwards, we develop an optimal parallel communication-free algorithm targeting a heterogeneous environment involving processors of different speeds. For this purpose, we use a non equitable and incomplete version of the D&C paradigm consisting in recursively decomposing the original TMI problem in two subproblems of non equal sizes, then decomposing only one subproblem and so on. The theoretical study is validated by a series of experiments achieved on two platforms, namely an 8-core shared memory machine and a distributed memory cluster of 16 nodes. The obtained results permit to illustrate the interest of the contribution. | 
| Starting Page | 553 | 
| Ending Page | 560 | 
| File Size | 1190331 | 
| Page Count | 8 | 
| File Format | |
| ISBN | 9781467307086 | 
| e-ISBN | 9788360810484 | 
| e-ISBN | 9788360810514 | 
| Language | English | 
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) | 
| Publisher Date | 2012-09-09 | 
| Publisher Place | Poland | 
| Access Restriction | Subscribed | 
| Rights Holder | Polish Info Processing Socit | 
| Subject Keyword | Algorithm design and analysis Parallel algorithm Heuristic algorithms Complexity theory Matrix decomposition Parallel algorithms Recursive algorithm Triangular matrix inversion Program processors Heterogeneous platform Communication free Clustering algorithms Divide and conquer | 
| Content Type | Text | 
| Resource Type | Article | 
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