Robert van de Geijn

05/10/2019 - Is my code fast? Can it be faster? Scientific computing, machine learning, and data science are about solving problems that are compute intensive. Choosing the right algorithm, extracting parallelism at various levels, and amortizing the cost of data movement are vital to achieving scalable speedup and high performance.

05/15/2018 - The only effective way to raise the confidence level of a program significantly is to give a convincing proof of its correctness. But one should not first make the program and then prove its correctness, because then the requirement of providing the proof would only increase the poor programmer’s burden. On the contrary: the programmer should let correctness proof and program grow hand-in-hand. - “The Humble Programmer,” Edsger W. Dijkstra (1972)

01/22/2018 - On January 23, 2018, UTCS faculty (and spouses) Robert van de Geijn and Maggie Myers will kick off the seventh run of their 16 week MOOCs (Massively Open Online Course) on linear algebra from a computer science perspective called Linear Algebra - Foundations to Frontiers (LAFF). The course is self-paced with a suggested calendar but everything is due by the close of the course on May 31.

12/12/2016 - On January 25, 2017, UTCS faculty (and spouses) Robert van de Geijn and Maggie Myers will kick off the fifth run of their 16 week MOOCs (Massively Open Online Course) on linear algebra from a computer science perspective called Linear Algebra - Foundations to Frontiers (LAFF) Robert and Maggie have enhanced the course by working with MathWorks to enable participants to use Matlab freely during the course.

03/21/2016 - In addition to his role as a professor, UT Computer Science’s Robert van de Geijn is the Director of the ICES’ Science of High-Performance Computing (SHPC) Group.

12/09/2014 - On January 28, 2015 UTCS faculty (and by the way spouses) Robert van de Geijn and Maggie Myers will kick off the second year of their 16 week MOOCs (massively open online course) on linear algebra from a computer science perspective called Linear Algebra - Foundations to Frontiers. Robert and Maggie have enhanced the course by working with MathWorks to enable participants to use Matlab freely during the course.

11/14/2011 - Setting yet another milestone in multicore innovation, Texas Instruments Incorporated (TI) and the University of Texas at Austin (UT Austin) have successfully ported UT Austin's libflame library, a dense linear algebra library for scientific computing, to TI's TMS320C6678 multicore digital signal processor (DSP).