On 28 June a GPGPU-day was held in Amsterdam, where researchers and professionals talk about their experiences with GPGPU, OpenCL, CUDA and alike techniques.
Below is a video with the speakers and a short description of their talk. For best impression, watch full-screen.
The primary goal of this day is to meet fellow GPGPU researchers and professionals working in the Netherlands.
The program (table below) is very diverse and given by various researchers and professionals. You can find all abstracts here.
Why You Should Attend?
- Meet others in the parallel programming industry and research of the Netherlands.
- Learn about research that is done with GPUs today.
- Find out if you can use GPUs for your own challenges.
|Accelerating sequential computer vision algorithms using commodity parallel hardware||Jaap van de Loosdrecht||NHL Leeuwarden|
|A General Toolkit for “GPUtilisation” in SME Applications||David Williams||University of Groningen|
|Modularity Graph Clustering on the GPU||Bas Fagginger Auer||University of Utrecht|
|OpenCL against the world: a battle for performance||Ana Lucia Varbanescu||Delft University|
|The ‘Bones’ Source-to-Source Compiler: Making Parallel Programming Easy||Cedric Nugteren||Eindhoven University of Technology|
|Mapping Streaming Applications on Heterogeneous Platforms with Data Parallel Accelerators||Ana Balevic||Leiden university|
|Correct and Efficient Accelerator Programming||Marieke Huisman||University of Twente|
|GPGPU in Radio Astronomy||Rob van Nieuwpoort||Netherlands eScience center / Astron / VU Amsterdam|
|GPGPU in bioinformatics: speeding up sequence alignment analysis||Sven Warris||Hanze University Groningen / Wageningen University|
|Sparse octrees and GPGPU||Evghenii Gaburov||SARA|
|GPU computing for tomography||Joost Batenburg||CWI, Amsterdam / University of Antwerp, Belgium|
|Diffusion-weighted magnetic resonance imaging tractography||Matteo Bastiani||Maastricht University|
|The unique challenges of producing compilers for GPUs||Andrew Richards||Codeplay, UK|
|A tour of LLVM, and why it is important for GPU software||Paul Keir||Codeplay, UK|