Author Archives: adovier

Modeling and solving planning problems in tabled logic programming: Experience from the Cave Diving domain By Roman Bartak, Lukas Chrpa, Agostino Dovier, Jindrich Vodrazka, Neng-Fa Zhou Abstract Action planning deals with the problem of finding a sequence of actions transferring … Continue reading →

Agostino Dovier gave an invited lecture on ASP and Bioinformatics at TAASP workshop in Klagenfurt, a satellite event of INFORMATIK 2016 http://www.kr.tuwien.ac.at/events/taasp16/prog.html Thanks to the organizers (and to all CLPLAB members for their work)  

On March 17, 2016, David Luebke, NVIDIA Distinguished Inventor, and Sr. Director of Research of NVIDIA Corporation announced that we are confirmed as a GPU Research Center “based on the vision, quality, and impact of your research leveraging GPU Computing.”

A GPU Implementation of the ASP Computation By Agostino Dovier, Andrea Formisano, Enrico Pontelli, and Flavio Vella Abstract General Purpose Graphical Processing Units (GPUs) are affordable multi-core platforms, providing access to large number of cores, but at the price of … Continue reading →

Tutorial on CP and Bioinformatics of September 4, 2015 https://users.dimi.uniud.it/~agostino.dovier/SLIDES/CORK_CP15.pdf

From left to right: Nando Fioretto, Agostino Dovier, Enrico Pontelli, and Alessandro Dal Palù (all but one teachers at the GULP school on logic programming)  

CUD@SAT: SAT Solving on GPUs. A. Dal Palù, A. Dovier, A. Formisano, and E. Pontelli. Journal of Experimental & Theoretical Artificial Intelligence (JETAI), Volume 27(3), July 2015, pp. 293-316. (draft) DOI: 10.1080/0952813X.2014.954274 Abstract The parallel computing power offered by Graphical Processing … Continue reading →

http://qui.uniud.it/notizieEventi/ricerca-e-innovazione/ateneo-premiato-research-center-gpu-dalla-californiana-nvidia-corporation  

Our favourite lab has been selected to be a 2015 GPU Research Center “based on the vision, quality, and impact of (y)our research leveraging GPU Computing”. A great thank to all LAB members that made it possible and to NVIDIA … Continue reading →

F. Campeotto, A. Dovier, and E. Pontelli. A Declarative Concurrent System for Protein Structure Prediction on GPU. Journal of Experimental & Theoretical Artificial Intelligence (JETAI). On line since february 2015 DOI: 10.1080/0952813X.2014.993503 Abstract This paper provides a novel perspective in … Continue reading →