Presenter

Michelle Strout is a Distinguished Technologist at HPE and an adjunct professor in the Department of Computer Science at the University of Arizona, where she was a full professor from 2015 through 2022. She earned her Ph.D. at the University of San Diego in 2003, did an Enrico Fermi postdoc at Argonne National Laboratory, and was an assistant and associate professor at Colorado State University from 2005 through 2015. Her main research area is programming languages and compilers for high performance computing and her research interests include sparse matrix computations and the polyhedral model. Some of Prof. Strout’s research contributions include the Universal Occupancy Vector (UOV) for determining storage mappings for any legal schedule in a stencil computation, the Sparse Polyhedral Framework (SPF) for specifying inspector-executor loop transformations, dataflow analysis for MPI programs, parameterized and full versus partial tiling within the polyhedral model, and loop chaining for scheduling across loops.