Michelle Strout

Registered user since Wed 25 Jun 2014

Name:Michelle Strout

Michelle has been a professor in the Department of Computer Science at the University of Arizona since August 2015. Prof. Strout’s main research area is high performance computing and her research interests include compilers and run-time systems, scientific computing, and software engineering. She earned her Ph.D. at the University of California, San Diego in 2003 with Jeanne Ferrante and Larry Carter as co-advisors. In 2008, Michelle received a CAREER Award from the National Science Foundation for her research in parallelization techniques for irregular applications, such as molecular dynamics simulations. In 2010, she received a DOE Early Career award to fund her research in separating the specification of scientific computing applications from the specification of implementation details such as how to parallelize such computations. 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 with the outset and insets, and loop chaining for scheduling across stencil loops.

Country:United States
Affiliation:University of Arizona
Research interests:Compilers, High Performance Computing


PLMW @ PLDI 2019 Session Chair of PL Mentoring Talk (part of PLMW @ PLDI 2019)
Session Chair of Panel: Charting Your Path (part of PLMW @ PLDI 2019)
PLMW Co-Chair in Organizing Committee within the PLMW @ PLDI 2019-track
CHIUW 2019 Session Chair of Chapel Implementation Improvements (part of CHIUW 2019)
PLDI 2019 Sparse Computation Data Dependence Simplification for Efficient Compiler-Generated Inspectors
Sponsorship Co-Chair in Organizing Committee
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