Data Movement Acceleration Event [Nov 4, 2022]

This event offers several in-depth presentations around data movement and data access for accelerators. This will be the first live event where we can meet each other in person. We have scheduled several time slots i n the event (lunch, posters, break, round table and drinks) to meet other engineers and researchers working with hardware acceleration and to exchange ideas. 

The event will be hosted in SURF Utrecht at the Moreelsepark 48, on Nov 4, 2022, 12:00 – 17:00. Please register for the event using the following link. You may forward this registration link to your colleagues in the field.

https://events.surf.nl/Kort12altered/open/eaadda78-677f-4ec8-9842-5690bdba3e73?culture=en-US

We ask every participant, on voluntary basis, to bring a poster (A3 or A4 format) to present the topics that you are working on to the other participants. The posters will be on display during lunch, coffee break and drinks to spark interest and start conversations.

Event program
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12:00 – 13:15 Arrival with coffee + lunch, posters
13:15 – 13:30 Introduction Hardware Acceleration Network (Zaid Al-Ars, TUDelft)
13:30 – 14:00 High Performance Python analytics using hardware acceleration (Joost Hoozemans, Voltron Data)
14:00 – 14:30 Optimizing data movement for GPU/FPGA accelerator cards: a bioinformatics case study (Nikolaos Alachiotis, UTwente)

14:30 – 15:00 break, coffee/tea, posters

15:00 – 15:30 Data transport in a radio telescope: Remote Direct Memory Access over Ethernet from FPGA to GPU (Steven van der Vlugt, ASTRON)
15:30 – 15:45 Innovating with SURF (Raymond Oonk, SURF)
15:45-16:00 Processing 4 TB/s of HEP data on GPUs (Roel Aaij, NIKHEF, and Daniel Campora, Maastricht University)
16:00 – 16:30 Round table (Zaid Al-Ars, TUDelft)

16:30 – 17:00 Drinks, posters

Tools for HW Acceleration Event [Jan. 15, 2021]

We would like to invite you to a new online event organized by our HW Acceleration Network NL. Based on your feedback in the previous event, the focus of this event will be on “Tools for HW acceleration”, with topics ranging from OpenCL and Vitis to machine learning model synthesis.

The event will be held on Jan 15, 2021, 15:00 – 17:00. Please register through the form in the LinkedIn post or by email (info@hwacc.nl).

Below, you’ll find the program of the event. Details of the talks that will take place can be found in the form. Looking forward to meeting you again virtually.

Program:
14:45 – 15:00 Zoom link open. Walk-in welcome

15:00 – 15:10 Welcome, introductions and update on network
15:10 – 15:30 Steven van der Vlugt, ASTRON. High Level FPGA Programming in the Industry
15:30 – 15:50 Stefano Corda, TU/e. Radio-astronomical imaging acceleration on Xilinx Vitis

15:50 – 16:00 Break, grab your drink and chit-chat

16:00 – 16:20 Jan Kuper, QbayLogic. Model Based FPGA Design using Clash
16:20 – 16:40 Jakoba Petri-Koenig, TUDelft/Xilinx. FINN: Fast, Scalable Neural Network Inference on FPGAs
16:40 – 17:00 Discussion, Q&A and feedback.

First HW Acceleration Network Event [Sep. 18, 2020]

On September 18, 2020, we organized the very first event in our Hardware Acceleration Network NL, with speakers from both industry and academia, such as ASML, Synopsys and ASTRON, and lots of community interest. Various topics were discussed representing challenges and opportunities in the field of computing hardware acceleration. The event attracted about 30 participants and was organized online. The program of the event was as follows.

Event Timing: Sep 18, 2020, 15:00 – 17:00
Event Address: Online, login instructions will follow
Contact us at steven.vandervlugt@gmail.com or z.al-ars@tudelft.nl

Program
14:45 – 15:00 Zoom link open. Walk-in welcome

15:00 – 15:15 Introduction. Ambition and goals of HW Acceleration Network NL
15:15 – 15:30 John Romein, ASTRON: Technological Innovations in the Processing of Radio-Astronomical Data
15:30 – 15:45 Roel Jordans, TU Eindhoven: Efficient and reliable hardware acceleration, the art of combining opposites
15:45 – 16:00 Mohamed Bamakhrama, Synopsys: Energy-Efficient Deep Neural Networks

16:00 – 16:15 Break, grab your drink and chit-chat 

16:15 – 16:30 Andre Kokkeler, U Twente: High-performance computing at the University of Twente
16:30 – 16:45 Lennart Noordsij, ASML: Fast parallel decompression to overcome the PCIe bottleneck
16:45 – 17:00 Joost Hoozemans, TU Delft: Enabling HW Acceleration for the Big Data Ecosystem
17:00 – 17:15 Round table about common goals and future plans

17:15 – 17:30 Grab your drink and chit-chat  

A news article about the event was published on the ASTRON website.