About Ali Charara Ali Charara Ph.D., Computer Science High Performance Computing algorithms distributed computing Linux GPU Computing OpenMP parallel computing 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) Articles Related News January 2017 New cost-effective GPUs solver redesigns the computational game 2 min read · Thu, Jan 12 2017 News exascale High Performance Computing parallel computing Prof. David Keyes and his team proposed a GPUs light architecture to solve systems of multiple equations involving a large amount of data. Broadly used in computer gaming, mobile, and PC graphics - GPUs allow customizing an effective result-driven support to create a computational framework for increasing the number of processors while reducing the memory required to temporarily store the data. Taking graphics cards beyond gaming 1 min read · Mon, Jan 9 2017 News graphic card computing applied mathematics computational science A highly efficient mathematical solver designed to run on graphics processors gives scientists and engineers a powerful new tool for a common computational problem.
New cost-effective GPUs solver redesigns the computational game 2 min read · Thu, Jan 12 2017 News exascale High Performance Computing parallel computing Prof. David Keyes and his team proposed a GPUs light architecture to solve systems of multiple equations involving a large amount of data. Broadly used in computer gaming, mobile, and PC graphics - GPUs allow customizing an effective result-driven support to create a computational framework for increasing the number of processors while reducing the memory required to temporarily store the data.
Taking graphics cards beyond gaming 1 min read · Mon, Jan 9 2017 News graphic card computing applied mathematics computational science A highly efficient mathematical solver designed to run on graphics processors gives scientists and engineers a powerful new tool for a common computational problem.
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