ISC 2017 Dedicates a Day to Deep Learning(PresseBox) (Frankfurt, )
This year’s ISC High Performance conference will be held at Messe Frankfurt from June 18 – 22, and will be attended by over 3,000 HPC community members, including researchers, scientists and business people.
The overwhelming success of deep learning has triggered a race to build larger artificial neural networks, using growing amounts of training data in order to allow computers to take on more complex tasks. Such work will challenge the computational feasibility of deep learning of this magnitude, requiring massive data throughput and compute power. Hence, implementing deep learning at scale has become an emerging topic for the high performance computing (HPC) community.
The program is designed and chaired by deep learning experts, Dr. -Ing Janis Keuper, senior scientist at The Fraunhofer Institute for Industrial Mathematics ITWM, and Dr. Damian Borth, director of the deep learning competence center at the German Research Center for Artificial Intelligence (DFKI).
The Deep Learning Day will offer two keynotes, along with a series of talks, to give attendees up-to-date insights on the rapid development in deep learning and also demonstrate how this technology can be enabled with HPC. Also discussed will be how the computational demands of deep learning will affect current and future HPC infrastructure.
The principal topic areas include:
How deep learning is changing the HPC landscape
HPC and big data for autonomous driving and connected vehicles
Future challenges for deep learning and HPC
The organizers have lined up a range of speakers from industry, academia, and the vendor community to share their expertise in this area. The current list includes:
Zeynep Akata, Amsterdam Machine Learning Lab, University of Amsterdam (Keynoter)
Brian van Essen, LLNL
Costas Bekas, IBM Research Zurich
René Wies, BMW Group
Kai Demtröder, BMW Group
Marco Pennachiotti, BMW Group
Mario Tokarz, BMW Group
Naveen Rao, Intel Data Center Group
Achim Noller, Bosch
Gunter Röth, NVIDIA
Mayank Daga, Advanced Micro Devices
Stephan Wolf, Google