Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Slaninová, Kateřina"'
Autor:
Pilato, Christian, Banik, Subhadeep, Beranek, Jakub, Brocheton, Fabien, Castrillon, Jeronimo, Cevasco, Riccardo, Cmar, Radim, Curzel, Serena, Ferrandi, Fabrizio, Friebel, Karl F. A., Galizia, Antonella, Grasso, Matteo, Silva, Paulo, Martinovic, Jan, Palermo, Gianluca, Paolino, Michele, Parodi, Andrea, Parodi, Antonio, Pintus, Fabio, Polig, Raphael, Poulet, David, Regazzoni, Francesco, Ringlein, Burkhard, Rocco, Roberto, Slaninova, Katerina, Slooff, Tom, Soldavini, Stephanie, Suchert, Felix, Tibaldi, Mattia, Weiss, Beat, Hagleitner, Christoph
Modern big data workflows are characterized by computationally intensive kernels. The simulated results are often combined with knowledge extracted from AI models to ultimately support decision-making. These energy-hungry workflows are increasingly e
Externí odkaz:
http://arxiv.org/abs/2402.12612
Autor:
Golasowski, Martin, Martinovič, Jan, Křenek, Jan, Slaninová, Kateřina, Levrier, Marc, Harsh, Piyush, DERQUENNES, Marc, Donnat, Frederic, Terzo, Olivier
Artificial Intelligence, Deep Learning, Machine Learning, Supercomputing
Externí odkaz:
https://library.oapen.org/handle/20.500.12657/52228
Autor:
Pilato, Christian, Bohm, Stanislav, Brocheton, Fabien, Castrillon, Jeronimo, Cevasco, Riccardo, Cima, Vojtech, Cmar, Radim, Diamantopoulos, Dionysios, Ferrandi, Fabrizio, Martinovic, Jan, Palermo, Gianluca, Paolino, Michele, Parodi, Antonio, Pittaluga, Lorenzo, Raho, Daniel, Regazzoni, Francesco, Slaninova, Katerina, Hagleitner, Christoph
High-Performance Big Data Analytics (HPDA) applications are characterized by huge volumes of distributed and heterogeneous data that require efficient computation for knowledge extraction and decision making. Designers are moving towards a tight inte
Externí odkaz:
http://arxiv.org/abs/2103.04185
Autor:
Vitali, Emanuele, Gadioli, Davide, Palermo, Gianluca, Golasowski, Martin, Bispo, Joao, Pinto, Pedro, Martinovic, Jan, Slaninova, Katerina, Cardoso, Joao M. P., Silvano, Cristina
Incorporating speed probability distribution to the computation of the route planning in car navigation systems guarantees more accurate and precise responses. In this paper, we propose a novel approach for dynamically selecting the number of samples
Externí odkaz:
http://arxiv.org/abs/1901.06210
Autor:
Silvano, Cristina, Agosta, Giovanni, Bartolini, Andrea, Beccari, Andrea R., Benini, Luca, Besnard, Loïc, Bispo, João, Cmar, Radim, Cardoso, João M. P., Cavazzoni, Carlo, Cesarini, Daniele, Cherubin, Stefano, Ficarelli, Federico, Gadioli, Davide, Golasowski, Martin, Libri, Antonio, Martinovič, Jan, Palermo, Gianluca, Pinto, Pedro, Rohou, Erven, Slaninová, Kateřina, Vitali, Emanuele
The ANTAREX project relies on a Domain Specific Language (DSL) based on Aspect Oriented Programming (AOP) concepts to allow applications to enforce extra functional properties such as energy-efficiency and performance and to optimize Quality of Servi
Externí odkaz:
http://arxiv.org/abs/1901.06175
Akademický článek
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Akademický článek
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Autor:
Grakova Ekaterina, Martinovič Jan, Slaninová Kateřina, Janurová Kateřina, Cima Vojtěch, Golasowski Martin, Montemanni Roberto, Salani Matteo
Publikováno v:
MATEC Web of Conferences, Vol 296, p 01009 (2019)
The quality of an opt imal solut ion of the Vehicle Rout ing Problem is st rongly depended on the sett ing of the configurat ion parameters of the algorithm. The paper is focused on the int roduct ion of hyperparameter search for solving the Vehicle
Externí odkaz:
https://doaj.org/article/a80d3d7bed60471292b9a81d33d0a5cc
Autor:
Grakova Ekaterina, Golasowski Martin, Montemanni Roberto, Slaninová Kateřina, Martinovič Jan, Jamal Jafar, Janurová Kateřina, Salani Matteo
Publikováno v:
MATEC Web of Conferences, Vol 259, p 01003 (2019)
The large number of real-world applications have shown that the use of computational method for distribution process planning produces substantial savings. Many of these applications lead to problem generally known as Vehicle Routing Problem. The rea
Externí odkaz:
https://doaj.org/article/a5cc16b7e1324a7b91903a80e92c6402