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Tobias Rapp

Tobias Rapp

Senior Software Engineer at Robert Bosch

Performance engineering for GPU and AI systems

Selected projectsLatest postsGitHub opens in a new tabLinkedIn opens in a new tab

I build and optimize compute-intensive software, from CUDA algorithms to real-time AI inference. The same focus on efficient execution shaped my PhD research in scientific visualization and earlier work in graphics.

Research interests:
  • GPU computing
  • AI Inference
  • Machine Learning
  • Visualization

Selected projects

Research and software I've worked on

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Featured projectpast2015; code published 2026

Adaptive Software Rasterization with CUDA

A CUDA software rasterizer that runs the graphics pipeline entirely on the GPU. The framework manages rasterization and adaptive sampling in software, generating additional work when needed while achieving interactive frame rates.

software rasterizationCUDAGPU programming
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Latest posts

Technical articles and notes

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15 min read

Persistent Threads and Megakernels

Reading about recent megakernels for LLM inference brought me back to persistent threads and megakernels I used in my own GPU work. This post traces both ideas from their origins in ray tracing to modern attention kernels and full-model LLM inference

  • CUDA
  • GPU programming
  • megakernels
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5 min read

Void-and-Cluster Sampling Beyond Space and Time

Extending void-and-cluster sampling from scattered spatial data to higher-dimensional point sets, using a neighborhood graph to sample an embedded manifold.

  • scientific visualization
  • sampling
  • dimensionality reduction
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Selected publications

Peer-reviewed research

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  1. 01

    Image-based Visualization of Large Volumetric Data Using Moments opens in a new tab

    T. Rapp, C. Peters, C. Dachsbacher

    IEEE Transactions on Visualization and Computer GraphicsPublication

    Presented at IEEE PacificVis 2022; Best Paper Honorable Mention

    Official version for Image-based Visualization of Large Volumetric Data Using Moments, opens in a new tabAuthor version for Image-based Visualization of Large Volumetric Data Using Moments, opens in a new tabSupplementary document for Image-based Visualization of Large Volumetric Data Using Moments, opens in a new tabVideo for Image-based Visualization of Large Volumetric Data Using Moments, opens in a new tabCode for Image-based Visualization of Large Volumetric Data Using Moments, opens in a new tabProject page for Image-based Visualization of Large Volumetric Data Using Moments

  3. 03

    Visual Analysis of Large Multivariate Scattered Data using Clustering and Probabilistic Summaries opens in a new tab

    T. Rapp, C. Peters, C. Dachsbacher

    IEEE Transactions on Visualization and Computer GraphicsPublication

    Presented at IEEE VIS 2020

    Official version for Visual Analysis of Large Multivariate Scattered Data using Clustering and Probabilistic Summaries, opens in a new tabAuthor version for Visual Analysis of Large Multivariate Scattered Data using Clustering and Probabilistic Summaries, opens in a new tabSupplementary document for Visual Analysis of Large Multivariate Scattered Data using Clustering and Probabilistic Summaries, opens in a new tabVideo for Visual Analysis of Large Multivariate Scattered Data using Clustering and Probabilistic Summaries, opens in a new tabProject page for Visual Analysis of Large Multivariate Scattered Data using Clustering and Probabilistic Summaries

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