Dennis Bautembach

Bautembach, D., Oikonomidis, I., & Argyros, A. (2021). Multi-GPU SNN Simulation with Static Load Balancing. To appear in 2021 International Joint Conference on Neural Networks (IJCNN). IEEE.

We present the first SNN simulator to scale to 8 GPUs, allowing you to simulate larger models and in less time than ever before. Features include:

• State of the art performance (incl. lightning fast setup)
• Ability to define custom models in native C++
• Modern, user-friendly API
• No 3rd-party dependencies (except CUDA)

Resources:

• Paper
• Source code

Bautembach, D., Oikonomidis, I., Kyriazis, N., & Argyros, A. (2020, July). Faster and Simpler SNN Simulation with Work Queues. In 2020 International Joint Conference on Neural Networks (IJCNN) (pp. 1-8). IEEE.

“Spice” is a state of the art spiking neural network simulator written in C++ and CUDA. It

• is up to 3x faster than the competition,
• allows you to specify your own models through a modern and intuitive API (you simply inherit from a model base class and override callbacks),
• builds out of the box without any 3rd-party dependencies (apart from CUDA), and
• does not involve any proprietary compilation steps or domain-specific languages.

Resources:

• Paper
• Source code

Bautembach, D., Oikonomidis, I., & Argyros, A. (2018, June). A Comparative Study of Matrix Completion and Recovery Techniques for Human Pose Estimation. In Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference (pp. 23-30).

We estimate human poses by treating them as missing/incomplete rows in a “pose database” matrix and calculating missing entries via matrix completion.

Paper

Chen, J., Bautembach, D., & Izadi, S. (2013). Scalable real-time volumetric surface reconstruction. ACM Transactions on Graphics (ToG), 32(4), 1-16.

KinectFusion is a well-known 3D scanner powered by Microsoft’s Kinect camera. It has recently found its way into the official Kinect for Windows SDK. While KinectFusion produces very high-quality scans in real-time, it is limited to relatively small spaces.

In this paper we extend KinectFusion with a sparse data structure and streaming, allowing us to scan areas of virtually infinite size while maintaining the quality and performance of the original algorithm.

Resources:

• Paper
• Siggraph slides

Unpublished BSc thesis

Voxels date back 20 years. They have many advantages over polygon meshes. However, they always suffered form the lack of a hardware-accelerated rendering pipeline and the infeasiblity of animating them. I tackled this age-old computer graphics problem in my BSc thesis. The (GPU-accelerated) animation technique I developed enables:

• Skeletal animation of voxels models
• Rendering of mixed polygon- and voxel-based content.

Resources:

• BSc thesis
• In-depth video tutorial series
• Source code