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 work in the Computer Systems group at LIACS. My research interests are optimizing compilers, program transformation, database systems, sparse matrices, data structure generation, and parallel and distributed computing. My main research is fundamental in nature, but I also enjoy more practical problems such as the optimization of scientific workflows.

In my main research, I work in the extension of my PhD thesis, entitled "A Versatile Tuple-Based Optimization Framework", that I defended in April 2014. In my thesis, a versatile tuple-based optimization framework is described that is capable of optimizing traditional imperative codes (such as sparse matrix computations) as well as declarative codes (such as database queries). Using this framework, it is possible to represent the application codes as well as the declarative database queries within the same intermediate representation, unlocking many optimization opportunities. With regard to irregular codes, we showed that by expressing such codes in the framework, many different variants of this code using different data structures can be generated automatically.

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 part 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.

Current courses

All my teaching activities can be found on the teaching page. I also supervise BSc and MSc projects in the area of Optimizing Compilers, Computer Systems and Parallel and Distributing Computing.