Amanda Bienz is an assistant professor in the Department of Computer Science at the University of New Mexico. She leads the scalable solvers lab at UNM, is the faculty advisor for Women in Computing, is working to restructure New Mexico’s CS4ALL curriculum, and teaches courses in operating systems and parallel computing. Her research is focused on improving the performance and scalability of parallel solvers, applications, and MPI collective operations for emerging architectures.
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