LIACS >Kristian Rietveld

Dr. Kristian F. D. Rietveld

E-mail: krietvel (at)

Visiting address

Snellius Gebouw Universiteit Leiden
Room 138 (first floor)
Niels Bohrweg 1
2333 CA Leiden
The Netherlands

Postal address

Leiden University, LIACS
P.O. Box 9512
2300 RA Leiden
The Netherlands

I am an Assistant Professor in the Systems and Security group at LIACS. My research interests are high performance computing (HPC), performance analysis and optimization, parallel and distributed computing, optimizing compiler techniques, sparse matrices and database systems. Simply put, I am fascinated by all kinds of techniques that improve the speed by which computers can perform computations. I work on problems that are more fundamental in nature, such as generic program transformation techniques for automatic performance optimization, but also on more hands-on problems, for example performance optimization of scientific data processing workflows to help scientists obtain the results they need in less time. With my master students I have worked on various other problems in computer systems, which have also led to peer-reviewed publications, such as scanning RISC platforms for undocumented instructions and designing a compiler that is fully executed on the GPU.

Before turning to academia, I obtained professional experience as Lead Software Engineer and System Administrator. As software engineer, I am especially experienced in shared library maintenance (API and ABI compatibility) and working on open source software in open communities. In the past I have been a member of the GTK+ development team for over a decade.

I am a member of the Steering Committee of the ACM International Conference on Computing Frontiers. I have served on the Program Committee of the Computing Frontiers and HiPC conferences, and have been reviewer for ACM TODS, IEEE TPDPS and IJPP.

Current courses

All my teaching activities can be found on the teaching page. I also supervise BSc and MSc projects in various areas of Computer Systems, among others software performance analysis and optimization, parallel and distributing computing, and GPU computing.