Christian Hundt, Dr. | High Performance Computing

Research Interests

Christian Hundt, Bertil Schmidt, Elmar Schömer, Herbert Göttler, and Hoang-Vu Dang. GEM:
An Elastic and Translation-Invariant Similarity Measure with Automatic Trend Adjustment.
Proceedings of the 29th Annual ACM Symposium on Applied Computing (SAC ’14). ACM,
New York, NY, USA, pp. 105-112
Christian Hundt, Bertil Schmidt, and Elmar Schömer. CUDA-Accelerated Alignment of
Subsequences in Streamed Time Series Data. 2014 43rd International Conference on Parallel
Processing, Minneapolis MN, 2014, pp. 10-19.

Christian Hundt, Andreas Hildebrandt, and Bertil Schmidt. rapidGSEA: Speeding Up Gene
Set Enrichment Analysis on Multi-core CPUs and CUDA-Enabled GPUs. BMC Bioinformatics
17 (2016): 394.
Jorge González-Domínguez, Christian Hundt, and Bertil Schmidt. parSRA: A Framework for
the Parallel Execution of Short Read Aligners on Compute Clusters. Journal of Computational
Science, 2017, ISSN 1877-7503.
Daniel Jünger, Christian Hundt, Jorge González-Domínguez, and Bertil Schmidt. Ultra-Fast
Detection of Higher-Order Epistatic Interactions on GPUs. 4th International Workshop on
Parallelism in Bioinformatics (PBio 2016), Grenoble, France, August 2016.
Daniel Jünger, Christian Hundt, Jorge González-Domínguez, and Bertil Schmidt. Speed
and Accuracy Improvement of Higher-Order Epistasis Detection on CUDA-Enabled GPUs.
Cluster Computing-The Journal of Networks Software Tools and Applications, 20(3), 2017,
pp. 1899-1908. (invited paper)
Robin Kobus, Christian Hundt, André Müller, and Bertil Schmidt. Accelerating Metagenomic
Read Classification on CUDA-Enabled GPUs. BMC Bioinformatics, 18 (2017): 11.
André Müller, Christian Hundt, Andreas Hildebrandt, Thomas Hankeln, and Bertil Schmidt.
MetaCache: Context-Aware Classification of Metagenomic Reads using Minhashing. Bioinformatics,
Volume 33, Issue 23, 1 December 2017, pp. 3740–3748.

Christoph Brochhausen, Hinrich B. Winther, Christian Hundt, Volker H. Schmitt, Elmar
Schömer, and Charles J. Kirkpatrick. A Virtual Microscope for Academic Medical Education:
the Pate Project. Interact J Med Res 2015, 4(2):e11.
Hinrich B. Winther, Christian Hundt, Bertil Schmidt, et al. ν-net: Deep Learning for
Generalized Biventricular Mass and Function Parameters using Multicenter Cardiac MRI
Data. Accepted and to be published in the Journal of the American College of Cardiology:
Cardiovascular Imaging (Impact Factor: 10.189)

Xiaohui Duan, Kai Xu, Yuandong Chan, Christian Hundt, et al., S-Aligner: Ultrascalable
Read Mapping on Sunway Taihu Light. 2017 IEEE International Conference on Cluster
Computing (CLUSTER), Honolulu, HI, 2017, pp. 36-46
Daniel Jünger, Christian Hundt, and Bertil Schmidt. WarpDrive: Massively Parallel Hashing
on Multi-GPU Nodes. Unconditional accept in first round (only 38 out of 461 papers ≈
8% acceptance rate) and to be published in Proceedings of the International Parallel and
Distributed Processing Symposium (IPDPS) 2018

Moritz Schlarb, Christian Hundt, and Bertil Schmidt. SAUCE: A Web-Based Automated
Assessment Tool for Teaching Parallel Programming. Euro-Par 2015 International Workshops,
Vienna, Austria, August 24-25, Revised Selected Papers, 2015, pp. 54–65.
Christian Hundt, Moritz Schlarb, and Bertil Schmidt. SAUCE: A Web Application for Interactive
Teaching and Learning of Parallel Programming. Journal of Parallel and Distributed
Computing, Volume 105, 2017, pp. 163–173, ISSN 0743-7315. (invited paper)
Bertil Schmidt, Jorge González-Domínguez, Christian Hundt, and Moritz Schlarb. Parallel
Programming: Concepts and Practice. Textbook at Morgan Kaufmann
(Elsevier), November 2017, pp. 1–416, ISBN 9780128498903.