Christian Hundt

Orcid: 0000-0002-7995-1858

Affiliations:
  • NVIDIA AI Tech Centre, Santa Clara, CA, USA
  • Johannes Gutenberg University Mainz, Institute of Computer Science (former)


According to our database1, Christian Hundt authored at least 28 papers between 2014 and 2023.

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Bibliography

2023
Geometry-Informed Neural Operator for Large-Scale 3D PDEs.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere.
Proceedings of the International Conference on Machine Learning, 2023

2022
General-purpose GPU hashing data structures and their application in accelerated genomics.
J. Parallel Distributed Comput., 2022

Weakly-Supervised Free Space Estimation through Stochastic Co-Teaching.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2022

2021
MetaCache-GPU: Ultra-Fast Metagenomic Classification.
Proceedings of the ICPP 2021: 50th International Conference on Parallel Processing, Lemont, IL, USA, August 9, 2021

2020
FeatherCNN: Fast Inference Computation with TensorGEMM on ARM Architectures.
IEEE Trans. Parallel Distributed Syst., 2020

Evolving a Deep Neural Network Training Time Estimator.
Proceedings of the Optimization and Learning - Third International Conference, 2020

WarpCore: A Library for fast Hash Tables on GPUs.
Proceedings of the 27th IEEE International Conference on High Performance Computing, 2020

cuDTW++: Ultra-Fast Dynamic Time Warping on CUDA-Enabled GPUs.
Proceedings of the Euro-Par 2020: Parallel Processing, 2020

Leveraging Privileged Information to Limit Distraction in End-to-End Lane Following.
Proceedings of the IEEE 17th Annual Consumer Communications & Networking Conference, 2020

2019
Massively parallel computation of atmospheric neutrino oscillations on CUDA-enabled accelerators.
Comput. Phys. Commun., 2019

Gossip: Efficient Communication Primitives for Multi-GPU Systems.
Proceedings of the 48th International Conference on Parallel Processing, 2019

Suffix Array Construction on Multi-GPU Systems.
Proceedings of the 28th International Symposium on High-Performance Parallel and Distributed Computing, 2019

2018
parSRA: A framework for the parallel execution of short read aligners on compute clusters.
J. Comput. Sci., 2018

WarpDrive: Massively Parallel Hashing on Multi-GPU Nodes.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

cuBool: Bit-Parallel Boolean Matrix Factorization on CUDA-Enabled Accelerators.
Proceedings of the 24th IEEE International Conference on Parallel and Distributed Systems, 2018

2017
SAUCE: A web application for interactive teaching and learning of parallel programming.
J. Parallel Distributed Comput., 2017

$ν$-net: Deep Learning for Generalized Biventricular Cardiac Mass and Function Parameters.
CoRR, 2017

Speed and accuracy improvement of higher-order epistasis detection on CUDA-enabled GPUs.
Clust. Comput., 2017

Accelerating metagenomic read classification on CUDA-enabled GPUs.
BMC Bioinform., 2017

MetaCache: context-aware classification of metagenomic reads using minhashing.
Bioinform., 2017

S-Aligner: Ultrascalable Read Mapping on Sunway Taihu Light.
Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017

2016
rapidGSEA: Speeding up gene set enrichment analysis on multi-core CPUs and CUDA-enabled GPUs.
BMC Bioinform., 2016

Ultra-Fast Detection of Higher-Order Epistatic Interactions on GPUs.
Proceedings of the Euro-Par 2016: Parallel Processing Workshops, 2016

2015
Efficient subsequence alignment of time series.
PhD thesis, 2015

SAUCE: A Web-Based Automated Assessment Tool for Teaching Parallel Programming.
Proceedings of the Euro-Par 2015: Parallel Processing Workshops, 2015

2014
GEM: an elastic and translation-invariant similarity measure with automatic trend adjustment.
Proceedings of the Symposium on Applied Computing, 2014

CUDA-Accelerated Alignment of Subsequences in Streamed Time Series Data.
Proceedings of the 43rd International Conference on Parallel Processing, 2014


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