Rate My Professor Katherine Yelick

Yelick's research focuses on high performance computing, programming systems, parallel algorithms, communication-avoiding algorithms, automatic performance tuning, and computational biology including high performance genome analysis. She co-invented the Unified Parallel C (UPC) and Titanium Partitioned Global Address Space languages and led the ExaBiome project on scalable tools for microbiome analysis as part of the Department of Energy's Exascale Computing Project. She co-leads the Berkeley Benchmarking and Optimization group. Key publications include 'The Landscape of Parallel Computing Research: A View from Berkeley' (2006), 'Exascale Computing Study: Technology Challenges in Achieving Exascale Systems' (2008), 'Optimization of Sparse Matrix-Vector Multiplication on Emerging Multicore Platforms' (2007), and contributions to 'AI for Science' (2020). Her influence extends to leadership in national computing facilities, service on committees such as the Computing Community Consortium, National Academies Computer Science and Telecommunications Board, and editorial contributions. Major awards include election to the National Academy of Engineering (2017) and American Academy of Arts and Sciences (2017), ACM Fellow (2012), AAAS Fellow (2018), ACM/IEEE Ken Kennedy Award (2015), ACM-W Athena Award (2013-2014), CRA Distinguished Service Award (2022), and Lawrence Berkeley National Laboratory Lifetime Achievement Award (2020).