activity
20182025
most citedSionna: An Open-Source Library for Next-Generation Physical Layer Research

105 citations · 111 across the 11 of their papers we have counts for

collaborators

11 papers

cs.LG2025

Nemotron-Flash: Towards Latency-Optimal Hybrid Small Language Models

Yonggan Fu, Xin Dong, Shizhe Diao +12

Efficient deployment of small language models (SLMs) is essential for numerous real-world applications with stringent latency constraints. While previous work on SLM design has pri…

cs.GR2023

Quasi-Monte Carlo Algorithms (not only) for Graphics Software

Alexander Keller, Carsten Wächter, Nikolaus Binder

Quasi-Monte Carlo methods have become the industry standard in computer graphics. For that purpose, efficient algorithms for low discrepancy sequences are discussed. In addition, n…

cs.IT2023★ 3 cited

Sionna RT: Differentiable Ray Tracing for Radio Propagation Modeling

Jakob Hoydis, Fayçal Aït Aoudia, Sebastian Cammerer +4

Sionna is a GPU-accelerated open-source library for link-level simulations based on TensorFlow. Since release v0.14 it integrates a differentiable ray tracer (RT) for the simulatio…

cs.GR2022

Rendering along the Hilbert Curve

Alexander Keller, Carsten Wächter, Nikolaus Binder

Based on the seminal work on Array-RQMC methods and rank-1 lattice sequences by Pierre L'Ecuyer and collaborators, we introduce efficient deterministic algorithms for image synthes…

eess.SP2022

GPU-Accelerated Machine Learning in Non-Orthogonal Multiple Access

Daniel Schäufele, Guillermo Marcus, Nikolaus Binder +3

Non-orthogonal multiple access (NOMA) is an interesting technology that enables massive connectivity as required in future 5G and 6G networks. While purely linear processing alread…

cs.IT2022★ 105 cited

Sionna: An Open-Source Library for Next-Generation Physical Layer Research

Jakob Hoydis, Sebastian Cammerer, Fayçal Ait Aoudia +4

Sionna is a GPU-accelerated open-source library for link-level simulations based on TensorFlow. It enables the rapid prototyping of complex communication system architectures and p…

eess.SP2022

GPU-accelerated partially linear multiuser detection for 5G and beyond URLLC systems

Matthias Mehlhose, Guillermo Marcus, Daniel Schäufele +6

In this feasibility study, we have implemented a recently proposed partially linear multiuser detection algorithm in reproducing kernel Hilbert spaces (RKHSs) on a GPU-accelerated…

cs.GR2019★ 2 cited

Massively Parallel Path Space Filtering

Nikolaus Binder, Sascha Fricke, Alexander Keller

Restricting path tracing to a small number of paths per pixel for performance reasons rarely achieves a satisfactory image quality for scenes of interest. However, path space filte…

cs.DC2019★ 1 cited

Massively Parallel Construction of Radix Tree Forests for the Efficient Sampling of Discrete Probability Distributions

Nikolaus Binder, Alexander Keller

We compare different methods for sampling from discrete probability distributions and introduce a new algorithm which is especially efficient on massively parallel processors, such…

cs.GR2018

Massively Parallel Stackless Ray Tracing of Catmull-Clark Subdivision Surfaces

Nikolaus Binder, Alexander Keller

We present a fast and efficient method for intersecting rays with Catmull-Clark subdivision surfaces. It takes advantage of the approximation democratized by OpenSubdiv, in which r…

cs.GR2018

Fast, High Precision Ray/Fiber Intersection using Tight, Disjoint Bounding Volumes

Nikolaus Binder, Alexander Keller

Analyzing and identifying the shortcomings of current subdivision methods for finding intersections of rays with fibers defined by the surface of a circular contour swept along a B…