Machine Learning and Data Analytics Lab

Rescheduling and Checkpointing as Strategies to Run Synchronous Parallel Programs on P2P Desktop Grids (2015) da Rosa Righi R, Veith A, Facco Rodrigues V, Rostirolla G, Andre da Costa C, Farias K, Marcos Alberti A Conference contribution MigBSP plus plus : Improving Process Rescheduling on Bulk-Synchronous Parallel Applications (2015) da Rosa Righi R, de Quadros Gomes R, Facco Rodrigues V, Andre da Costa C, Marcos Alberti A Conference contribution GreenHPC: A Novel Framework to Measure Energy Consumption on HPC Applications (2015) Rostirolla G, da Rosa Righi R, Facco Rodrigues V, Velho P, Luiz Padoin E Conference contribution Cloud Elasticity for HPC Applications: Observing Energy, Performance and Cost (2015) Facco Rodrigues V, Rostirolla G, da Rosa Righi R, Andre da Costa C, Victória Barbosa JL Conference contribution A framework for early event detection for wearable systems (2015) Dorschky E, Schuldhaus D, Koerger H, Eskofier B Conference contribution, Conference Contribution Messung der „visuellen Performance“ hinsichtlich des 3D-Sehens (2015) Michelson G, Schoemann J, Paulus J, Lochmann M Conference contribution Predictive Musculoskeletal Simulation of Uphill and Downhill Running (2015) Dorschky E, van den Bogert AJ, Schlarb H, Eskofier B Conference contribution, Conference Contribution Approximative Event Processing on Sensor Data Streams (Best Poster and Demostration Award) (2015) Löffler C, Mutschler C, Philippsen M Conference contribution, Original article Lightweight, generative variant exploration for high-performance graphics applications (2015) Selgrad K, Lier A, Köferl F, Stamminger M, Lohmann D Conference contribution, Original article Optimal feature selection for nonlinear data using branch-and-bound in kernel space (2015) Ring M, Eskofier B Journal article