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.

Welcome!

Details

Arrival registration and coffee from 8:30

Time: Program from 9:00–16:00
Location: Folkets hus, Barnhusgatan 12-14, Stockholm

Contact

If you have any questions regarding the event, please contact: wasp.event@partner.liu.se 


Program

08:30 Registration and coffee

Session I

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

10:30 Coffee

Session II

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

12:00 Lunch

Session III

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

14:50 Coffee 

Session IV

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


Program Committee

Anders Ynnerman, Danica Kragic, Karl-Erik Årzén, Johan Håstad

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