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WASP4ALL – Future Computing Platforms for X

First Annual WASP Open Conference in Stockholm 18 November 2019

– Published 7 October 2019

Preliminary time: 09:00-16:00

 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!

Please register no later than October 20th on the following link:

https://www.lyyti.in/WASP4ALL  

 

Updated information about the conference can be found at this website: https://wasp-sweden.org/wasp4all-future-computing-platforms-for-x/

From the program:

Keynote: GPU Computing for Graphics and AI, Tomas Akenine-Möller, NVIDIA

In-memory computations for Deep Neural Networks, Per Stenström, Chalmers

Computing on the edge, Erik Elmroth, Umeå University

 

Program Committee

Anders Ynnerman

Danica Kragic

Karl-Erik Årzén

Johan Håstad

 

Wallenberg AI, Autonomous Systems