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pro vyhledávání: '"Prats, David Buchaca"'
Autor:
Portella, Felipe Albuquerque, Prats, David Buchaca, Rodrigues, José Roberto Pereira, Berral, Josep Lluís
Reservoir simulations for petroleum fields and seismic imaging are known as the most demanding workloads for high-performance computing (HPC) in the oil and gas (O&G) industry. The optimization of the simulator numerical parameters plays a vital role
Externí odkaz:
http://arxiv.org/abs/2208.02606
Publikováno v:
Volume 110, September 2020, Pages 155-166
Co-scheduling of jobs in data-centers is a challenging scenario, where jobs can compete for resources yielding to severe slowdowns or failed executions. Efficient job placement on environments where resources are shared requires awareness on how jobs
Externí odkaz:
http://arxiv.org/abs/2006.14429
Autor:
Merino, Enrique Romero, Castrillejo, Ferran Mazzanti, Pin, Jordi Delgado, Prats, David Buchaca
Learning algorithms for energy based Boltzmann architectures that rely on gradient descent are in general computationally prohibitive, typically due to the exponential number of terms involved in computing the partition function. In this way one has
Externí odkaz:
http://arxiv.org/abs/1801.02567
Autor:
Jakšić, Zoran, Cadenelli, Nicola, Prats, David Buchaca, Polo, Jordà, Berral Garcia, Josep Lluís, Perez, David Carrera
Publikováno v:
In Future Generation Computer Systems March 2020 104:201-211
Akademický článek
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Publikováno v:
IEEE Transactions on Network & Service Management; Mar2018, Vol. 15 Issue 1, p142-155, 14p