In this video from PASC18, Christian Engelmann from Oak Ridge National Laboratory presents: Characterizing Faults, Errors and Failures in Extreme-Scale Computing Systems. “Building a reliable supercomputer that achieves the expected performance within a given cost budget and providing efficiency and correctness during operation in the presence of faults, errors, and failures requires a full understanding […]
- Home
- PASC18 Conference (Page 4)
PASC18 – Video of Robert Searles on Abstractions and Directives for Adapting Wavefront Algorithms to Future Architectures
In this video from PASC18, Robert Searles from the University of Delaware presents: Abstractions and Directives for Adapting Wavefront Algorithms to Future Architectures. “Architectures are rapidly evolving, and exascale machines are expected to offer billion-way concurrency. We need to rethink algorithms, languages and programming models among other components in order to migrate large scale applications […]
PASC18 – Video of Alexander Nitz on The Search for Gravitational Waves
In this video from PASC18, Alexander Nitz from the Max Planck Institute for Gravitational Physics in Germany presents: The Search for Gravitational Waves. “The LIGO and Virgo detectors have completed a prolific observation run. We are now observing gravitational waves from both the mergers of binary black holes and neutron stars. We’ll discuss how these […]
PASC18 – Video of Tobias Golling on Deep Generative Models for Fast Calorimeter Shower Simulations
In this video from PASC18, Tobias Golling from the University of Geneva presents: Deep Generative Models for Fast Calorimeter Shower Simulations. “Machine Learning techniques have been used in different applications by the HEP community: in this talk, we discuss the case of detector simulation. The need for simulated events, expected in future High Luminosity LHC […]
PASC18 – Video of Maurizio Pierini on Generative Models for Application-Specific Fast Simulation of LHC Collision Events
In this video from PASC18, Maurizio Pierini from CERN presents: Generative Models for Application-Specific Fast Simulation of LHC Collision Events. “We investigate the possibility of using generative models (e.g., GANs and variational autoencoders) as analysis-specific data augmentation tools to increase the size of the simulation data used by the LHC experiments. With the LHC entering […]