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pro vyhledávání: '"Friebel, Karl F. A."'
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:
Khan, Asif Ali, Farzaneh, Hamid, Friebel, Karl F. A., Fournier, Clément, Chelini, Lorenzo, Castrillon, Jeronimo
The rise of data-intensive applications exposed the limitations of conventional processor-centric von-Neumann architectures that struggle to meet the off-chip memory bandwidth demand. Therefore, recent innovations in computer architecture advocate co
Externí odkaz:
http://arxiv.org/abs/2301.07486
Autor:
Soldavini, Stephanie, Friebel, Karl F. A., Tibaldi, Mattia, Hempel, Gerald, Castrillon, Jeronimo, Pilato, Christian
Numerical simulations can help solve complex problems. Most of these algorithms are massively parallel and thus good candidates for FPGA acceleration thanks to spatial parallelism. Modern FPGA devices can leverage high-bandwidth memory technologies,
Externí odkaz:
http://arxiv.org/abs/2203.10850
Autor:
Friebel, Karl F. A., Soldavini, Stephanie, Hempel, Gerald, Pilato, Christian, Castrillon, Jeronimo
Many applications are increasingly requiring numerical simulations for solving complex problems. Most of these numerical algorithms are massively parallel and often implemented on parallel high-performance computers. However, classic CPU-based platfo
Externí odkaz:
http://arxiv.org/abs/2108.03326