Faculty profile 2
- President's Associates Teaching Excellence Award (2008).
- Field G. Van Zee and Robert A. van de Geijn. 2015. BLIS: A Framework for Rapidly Instantiating BLAS Functionality. ACM Transactions on Mathematical Software 41, 3, Article 14 (June 2015).
- Martin D. Schatz, Tze Meng Low, Robert A. van de Geijn, and Tamara G. Kolda. Exploiting Symmetry in Tensors for High Performance: Multiplication with Symmetric Tensors. SIAM Journal on Scientific Computing 36 (5), C453-C479, 2014.
- Jack Poulson, Bryan Marker, Robert A. van de Geijn, Jeff R. Hammond, and Nichols A. Romero. Elemental: A new framework for distributed memory dense matrix computations. ACM Transactions on Mathematical Software (TOMS) 39 (2), 13, 2013.
- Ardavan Pedram, Robert van de Geijn, and Andreas Gerstlauer. Codesign tradeoffs for high-performance, low-power linear algebra architectures. IEEE Transactions on Computers 61 (12), 1724-1736, 2012.
- Bryan Marker, Jack Poulson, Don Batory, and Robert van de Geijn. Designing linear algebra algorithms by transformation: Mechanizing the expert developer. High Performance Computing for Computational Science-VECPAR 2012, 362-378, 2012.
- Robert A. van de Geijn. Using PLAPACK: Parallel Linear Algebra Package. The MIT Press, 1997.
- Robert A. van de Geijn and Enrique S. Quintana-Ortí. The Science of Programming Matrix Computations. http://www.lulu.com, 2008.
- Margaret Myers, Pierce van de Geijn, Robert van de Geijn. Linear Algebra: Foundations to Frontiers - Notes to LAFF With. (Notes, videos, interactive activities, and programming activities created for a Massive Open Online Course (MOOC) offered by edX.) Self-published at http://www.ulaff.net, 2014.
- Maggie E. Myers and Robert A. van de Geijn. LAFF Long and Prosper? SIAM Conference on Applied Linear Algebra, Oct. 2015.
- Robert A. van de Geijn. BLIS/libflame: past, present, and future. BLIS Retreat. Sept. 2015.
- Robert A. van de Geijn. Design by Transformation - Application to Dense Linear Algebra Libraries. Georgia Institute of Technology. Feb. 2012.
- Robert A. van de Geijn. Weapons of Math Induction for the War on Error. Caltech. Jan. 2012.
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.
Prof. van de Geijn has been a programming committee member for Principles and Practice of Parallel Computing (PPoPP).
Prof. van de Geijn is a core member of the Institute for Computational Engineering and Sciences and an associated faculty member of Department of Statistics and Data Sciences. He leads the Science of High-Performance Computing research group, which includes faculty and researchers from Chemistry, Electrical and Computer Engineering, Statistics and Data Sciences, the Texas Advanced Computing Center, and the Institute for Computational Engineering and Sciences. He has (co-)supervised Ph.D. students in Computer Science, Computational Sciences Engineering and Mathematics, Electrical and Computer Engineering, and Engineering Mechanics.