Prof. van de Geijn is a leading expert in linear algebra, high-performance computing, parallel computing, scientific computing, numerical analysis, software architecture of linear algebra libraries, and formal derivation of algorithms. He leads the Science of High-Performance Computing group and is a core member of the Oden Institute for Computational Engineering and Sciences. He received his Ph.D. in Applied Mathematics from the University of Maryland, College Park, and his B.S. in mathematics and computer science from the University of Wisconsin-Madison.
Oden Institute for Computational Engineering and Sciences
Field G. Van Zee and Robert A. van de Geijn . June 2015. BLIS: A Framework for Rapidly Instantiating BLAS Functionality. ACM Transactions on Mathematical Software.
Per-Gunnar Martinsson, Gregorio Quintana OrtÍ, Nathan Heavner, Robert van de Geijn. 2017. Householder QR factorization with randomization for column pivoting (HQRRP). SIAM Journal on Scientific Computing.
Jack Poulson, Bryan Marker, Robert A. van de Geijn, Jeff R. Hammond, and Nichols A. Romero. 2013. Elemental: A new framework for distributed memory dense matrix computations.
Jianyu Huang, Tyler M Smith, Greg M Henry, Robert A van de Geijn. 2016. Strassen's algorithm reloaded. Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC'16).
Bryan Marker, Jack Poulson, Don Batory, and Robert van de Geijn. 2012. Designing linear algebra algorithms by transformation: Mechanizing the expert developer.