Culler, " The Berkeley UPC Compiler," 2003.ī. on Supercomputing, New York, NY: ACM Press, 2003, pp. Yelick, " A performance analysis of the Berkeley UPC compiler," in Proc. 1, Los Alamitos, CA: IEEE Computer Society, 2004, pp.
Yelick, " Performance models for evaluation and automatic tuning of symmetric sparse matrix-vector multiply (Best Paper Prize)," in Proc. Yelick, Assessment of High-End Computing Research and Development in Japan: Final Report, Baltimore, MD: World Technology Evaluation Center, Inc., 2004.ī. Yelick, UPC: Distributed Shared-Memory Programming, Wiley-Interscience, Hoboken, NJ: Wiley, 2005.Ī. 2005 ACM/IEEE Supercomputing Conf., Los Alamitos, CA: IEEE Computer Society Press, 2005, pp. Yelick, " Making sequential consistency practical in Titanium," in Proc. Demmel, " OSKI - Optimized Sparse Kernel Interface," 2006.Į. Parallel and Distributed Processing Symp., Piscataway, NJ: IEEE Press, 2006, pp. Yelick, " Optimizing bandwidth limited problems using one-sided communication and overlap," in Proc. on Computing Frontiers, New York, NY: ACM Press, 2006, pp. Yelick, " The potential of the Cell processor for scientific computing," in Proc. Yelick, " Distributed immersed boundary simulations in Titanium," SIAM J. High Performance Computing Applications, vol. Wen, " Parallel languages and compilers: Perspective from the Titanium experience," Intl. Yelick, " Communication Avoiding and Overlapping for Numerical Linear Algebra," in SC '12 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis (Supercomputing 2012), 2012. Yelick, " A communication-optimal N-body algorithm for direct interactions," in Proceedings of the International Parallel and Distributed Processing Symposium (IPDPS), 2013.Į. Hexaploid bread wheat genome," Genome Biology, vol. Rokhsar, " A whole-genome shotgun approach for assembling and anchoring the Ellis, " merBench: PGAS Benchmarks for High Performance Genome Assembly," 2017. Yelick, " Communication-Avoiding Optimization Methods for Distributed Massive-Scale Sparse Inverse Covariance Estimation," in The 21st International Conference on Artificial Intelligence and Statistics (AISTATS), 2018. Yelick, "Extreme scale de novo metagenome assembly," in Proceedings of the International Conference for High Performance Computing, Networking, Storage, and Analysis (SC'18), 2018, pp. She was leader of the Future Technologies Group from 2005 through 2007 and the NERSC Director from 2008 through 2012.Į. As the ALD for CS at Berkeley Lab, she oversees the National Energy Research Scientific Computing Center (NERSC), the Energy Sciences Network (ESnet) and the Computational Research Division (CRD), which covers applied math, computer science, data science and computational science. Her research focuses on parallel programming languages, automatic performance tuning, performance analysis, parallel algorithms, and optimizing compilers, and she currently leads the Berkeley Unified Parallel C (UPC) project and co-leads the Berkeley Benchmarking and Optimization (Bebop) group. Katherine (Kathy) Yelick has been a Professor of Electrical Engineering and Computer Sciences at UC Berkeley since 1991 and has held a joint research appointment at Lawrence Berkeley National Laboratory (Berkeley Lab) since 1996 where she is currently the Associate Laboratory Director (ALD) for Computing Sciences.
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