Michelle Strout is the senior engineering manager for the Chapel Team at HPE as of January 2021 and a professor in the Department of Computer Science at the University of Arizona since 2015. 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 for ten years. 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.
Heterogeneous Systems
Hierarchical Parallelism
Parallel Programming Languages and Models
Performance Portability
Scientific Computing
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