First Annual WASP Open Conference in Stockholm November 18th
Don’t miss the opportunity to attend the first open WASP conference. The 2019 theme will be future computing platforms.
We will dive into hands on aspects of the hottest and most urgent applications in need of state-of-the-art computing and scrutinize the specific needs of areas such as AI/Machine Learning, Visual Computing, Data Analytics, and Autonomous Agents and Software. The meeting will cover a range of computing related topics, from both a hardware and software perspective, of highest possible relevance to WASP researchers and affiliates.
The starting point is the near future for computing in terms of GPUs and FPGAs, tailored energy efficient architectures, and cloud and edge computing. We will then explore in-depth other architectures and software solutions on the horizon and the possibilities they will offer. We will also provide a glimpse of the long term future and what quantum computing will bring to the table. The complex interplay between platforms and applications and the tools needed for efficient application development will be highlighted.
Our target audience is general researchers and developers in both academia and industry and the presentations will have a general technical content, but with a serious touch of interesting research and hard core technology. If you will be in need of leading edge computing platforms for your applications in the future this is a meeting you cannot miss.
Arrival registration and coffee from 8:30
Time: Program from 9:00–16:00
Location: Folkets hus, Barnhusgatan 12-14, Stockholm
If you have any questions regarding the event, please contact: email@example.com
08:30 Registration and coffee
Chair: Anders Ynnerman, Linköping University
09:00 Opening remarks and introduction to the seminar, Anders Ynnerman
09:15 Keynote: GPU Computing for Graphics and AI, Tomas Akenine-Möller, NVIDIA
10:00 The Processing-in-Memory Paradigm for Deep Neural Networks, Per Stenström, Chalmers
Chair: Karl-Erik Årzén, Lund University
11:00 The Bitter Lesson of ML Pipelines and Deep Learning, Jim Dowling, KTH
11:30 Use-case: Machine Learning for Visual Perception, Michael Felsberg, Linköping University
Chair: Danica Kragic, KTH
13:00 Computing on the edge, Erik Elmroth, Umeå University
13:30 The Next Industrial Revolution and the Digital Transformation of Society, Robin Teigland, Chalmers
14:00 The SNIC computational landscape, Hans Karlsson, Uppsala universitet
14:30 The evolving commercial computational landscape, Johan Eker, Lund University
Chair: Johan Håstad, KTH
15:10 Quantum computing – from physics research towards a breakthrough in computer technology, Jonas Bylander, Chalmers
15:35 Post quantum cryptography, Thomas Johansson, Lund University
16:00 Wrap up
Anders Ynnerman, Danica Kragic, Karl-Erik Årzén, Johan Håstad