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Ali Charara obtained both, his MS Degree and PhD Degree from Computer Science at KAUST in 2011 and 2018 respectively. His master thesis supervisor was Alyn Rockwood and his PhD thesis supervisor was David Keyes. Ali's research interests were in High Performance Computing with a focus on parallel computing and algorithms using multicore and manycore Computer Graphics Units.
Education Profile
- MS Degree, Computer Science, KAUST (2011)
- PhD Degree, Computer Science, KAUST (2018)
Selected Publications
Charara, A. (2018). Exploiting Data Sparsity In Covariance Matrix Computations on Heterogeneous Systems, (Dissertation). https://hdl.handle.net/10754/627948
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Charara, A., Keyes, D. E., Ltaief, H. (2018). Batched Tile Low-Rank GEMM on GPUs, Technical Report. https://hdl.handle.net/10754/627402
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Charara, A., Ltaief, H., Gratadour, D., Keyes, D., Sevin, A., Abdelfattah, A., … Vidal, F. (2014). Pipelining Computational Stages of the Tomographic Reconstructor for Multi-Object Adaptive Optics on a Multi-GPU System. SC14: International Conference for High Performance Computing, Networking, Storage and Analysis. doi:10.1109/sc.2014.27
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Charara, A., Ltaief, H., Gratadour, D., Keyes, D. E., Sevin, A., Abdelfattah, A., Gendron, E., Morel, C., Vidal, F. (2014). Pipelining Computational Stages of the Tomographic Reconstructor for Multi-Object Adaptive Optics on a Multi?GPU System, SHAXC-2 Workshop 2014. https://hdl.handle.net/10754/624933
