If you are interested in pursuing a PhD with me, please submit your application to our online application system and drop me an email.
Current Research Areas and Interests
I like to combine techniques from mathematics, computer science, and engineering to attack difficult problems.
One longstanding interest of mine is what I call "program synthesis for performance." For functionality of mathematical nature we aim to automatically generate highest performance code from a high level mathematical description. In Spiral, we have built such a generator for the domain of linear transforms. The project combines techniques from mathematics, programming languages, symbolic computation, compilers, and machine learning (short overview). We are currently expanding this project in several directions:
Other current and recent research directions
- Gagandeep Singh (with Martin Vechev)
- Francois Serre
- Alen Stojanov
- Daniele Spampinato
- Georg Ofenbeck
- Victoria Caparros Cabezas
Spring 2015: ETH
How to Write Fast Numerical Code (CS:
Pedro Aguiar (IST, Lisbon, Portugal), Franz Franchetti (CMU), James C. Hoe (CMU), Thomas Holenstein (ETH), Jelena Kovacevic (CMU), Andreas Krause (ETH), José M. F. Moura (CMU), Martin Odersky (EPFL), Tiark Rompf (Purdue), Phillip Stanley-Marbell (MIT), João Xavier (IST, Lisbon, Portugal), Martin Vechev (ETH)
Check out the pub, a tool for maintaining publications and presenting them on the web.
Dept. of Computer Science
ETH Zurich, CAB H69.3
8092 Zurich, Switzerland
phone: +41 44 632 7303
email: pueschel at inf.ethz.ch