Michelle Mills Strout
On a leave of absence from UofA
Chapel Group Manager at HPE
Twitter: @ProfMStrout
Spring 2020
CSc 520: Principles of Programming Languages
Office Hours: Mondays 10:30-11:30am, Wednesdays 5-6pm in G-S 707
Fall 2019
CSc 620: Topics in Programming Languages (Embedded Domain-Specific Languages)
Research Interests
High Performance Computing, Compilers including use of the Polyhedral Model, Parallel Programming Models, Scientific Computing, and Software Engineering.Recent Professional Activities
PLDI 2020: Program Committee Member
PPoPP 2020: Program Committee Member
SC19: Tech papers co-chair
PLMW @ PLDI 2019: Co-organizer
ICS 2019: External PC
OOPSLA 2018: External Program Committee
PLDI 2018: External Program Committee, PLMW organizer, and Sponsorship chair
PPOPP 2018: Program Committee
HPCC 2017: Program Committee
CHIUW 2017: Program Committee
Grace Hopper Celebration of Women in Computing 2017: Poster Committee
IMPACT 2017: Program Committee
Supercomputing 2016: Technical Papers Area Chair for the Programming Systems track, Doctoral Showcase Program Committee, and Mentor for the Women in HPC workshop.
LCPC 2016: Program Committee
CHIUW 2016: Program Committee
ISC High Performance 2016: Program committee member for Ph.D. Forum
Co-chair for The 6th International Workshop on Polyhedral Compilation Techniques (IMPACT) 2016.
Biography
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.