22 citations · 71 across the 7 of their papers we have counts for
7 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…
Large-Scale Video Analytics through Object-Level Consolidation
Daniel Rivas, Francesc Guim, Jordà Polo +1
As the number of installed cameras grows, so do the compute resources required to process and analyze all the images captured by these cameras. Video analytics enables new use case…
Distributing Deep Learning Hyperparameter Tuning for 3D Medical Image Segmentation
Josep Lluis Berral, Oriol Aranda, Juan Luis Dominguez +1
Most research on novel techniques for 3D Medical Image Segmentation (MIS) is currently done using Deep Learning with GPU accelerators. The principal challenge of such technique is…
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…
ALOJA: A Framework for Benchmarking and Predictive Analytics in Big Data Deployments
Josep Ll. Berral, Nicolas Poggi, David Carrera +3
This article presents the ALOJA project and its analytics tools, which leverages machine learning to interpret Big Data benchmark performance data and tuning. ALOJA is part of a lo…
ALOJA-ML: A Framework for Automating Characterization and Knowledge Discovery in Hadoop Deployments
Josep Ll. Berral, Nicolas Poggi, David Carrera +3
This article presents ALOJA-Machine Learning (ALOJA-ML) an extension to the ALOJA project that uses machine learning techniques to interpret Hadoop benchmark performance data and p…