18 citations · 47 across the 5 of their papers we have counts for
5 papers
TunaOil: A Tuning Algorithm Strategy for Reservoir Simulation Workloads
Felipe Albuquerque Portella, David Buchaca Prats, José Roberto Pereira Rodrigues +1
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…
Improving Maritime Traffic Emission Estimations on Missing Data with CRBMs
Alberto Gutierrez-Torre, Josep Ll. Berral, David Buchaca +3
Maritime traffic emissions are a major concern to governments as they heavily impact the Air Quality in coastal cities. Ships use the Automatic Identification System (AIS) to conti…
Sequence-to-sequence models for workload interference
David Buchaca Prats, Joan Marcual, Josep Lluís Berral +1
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…
Weighted Contrastive Divergence
Enrique Romero Merino, Ferran Mazzanti Castrillejo, Jordi Delgado Pin +1
Learning algorithms for energy based Boltzmann architectures that rely on gradient descent are in general computationally prohibitive, typically due to the exponential number of te…
Stopping Criteria in Contrastive Divergence: Alternatives to the Reconstruction Error
David Buchaca, Enrique Romero, Ferran Mazzanti +1
Restricted Boltzmann Machines (RBMs) are general unsupervised learning devices to ascertain generative models of data distributions. RBMs are often trained using the Contrastive Di…