Valery Kritchallo

PhD student at the Computer Engineering Group of the Faculty of Engineering, Mathematics and Computer Science (EEMCS/EWI), Delft University of Technology.

PhD thesis title: Application of Approximate Computing for Algorithm Parallelization.

Supervisors: Prof. Koen Bertels and Assoc. Prof. Zaid Al-Ars.


Participated in the ALMARVI project, with the research focus on scalable parallelization of computer vision algorithms, such as Canny edge, Gaussian blurring augmented with Discrete Cosine Transform, and blind deconvolution.


My research interests are:

  • scalable parallelization of real-world C/C++ applications
  • optimization of computer vision algorithms
  • application of approximate computing to trade off computational accuracy for performance
  • binary runtime instrumentation of software applications

Publications Valery Kritchallo

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  1. V.V. Kritchallo, B. Braithwaite, E. Vermij, K.L.M. Bertels, Z. Al-Ars, Balancing High-Performance Parallelization and Accuracy in Canny Edge Detector1526_balancing_highperformance_parallelization_and_accuracy_in.pdf (April 2016), 29th International Conference on Architecture of Computing Systems (ARCS 2016), 4-7 April 2016, Nuremberg, Germany [Conference Paper]
  2. V.V. Kritchallo, E. Vermij, K.L.M. Bertels, Z. Al-Ars, Fidelity Slider: a User-Defined Method to Trade off Accuracy for Performance in Canny Edge Detector1530_fidelity_slider_a_userdefined_method_to_trade_off_accurac.pdf (January 2016), 11th HiPEAC conference (HiPEAC 2016), 18-20 January 2016, Prague, Czech Republic, online publication [Conference Paper]
Valery Kritchallo