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ORCIDJan Christian Kässens
Person information
- affiliation: University of Kiel, Germany
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Books and Theses
- 2017
[b1]Jan Christian Kässens:
A Hybrid-parallel Architecture for Applications in Bioinformatics. University of Kiel, Germany, 2017
Journal Articles
- 2019
- [j4]Lars Wienbrandt
, Jan Christian Kässens, Matthias Hübenthal, David Ellinghaus:
1000× faster than PLINK: Combined FPGA and GPU accelerators for logistic regression-based detection of epistasis. J. Comput. Sci. 30: 183-193 (2019) - 2015
- [j3]Jorge González-Domínguez, Jan Christian Kässens, Lars Wienbrandt, Bertil Schmidt:
Large-scale genome-wide association studies on a GPU cluster using a CUDA-accelerated PGAS programming model. Int. J. High Perform. Comput. Appl. 29(4): 506-510 (2015) - [j2]Jan Christian Kässens, Lars Wienbrandt, Jorge González-Domínguez, Bertil Schmidt, Manfred Schimmler:
High-speed exhaustive 3-locus interaction epistasis analysis on FPGAs. J. Comput. Sci. 9: 131-136 (2015) - [j1]Jorge González-Domínguez, Lars Wienbrandt, Jan Christian Kässens, David Ellinghaus, Manfred Schimmler, Bertil Schmidt:
Parallelizing Epistasis Detection in GWAS on FPGA and GPU-Accelerated Computing Systems. IEEE ACM Trans. Comput. Biol. Bioinform. 12(5): 982-994 (2015)
Conference and Workshop Papers
- 2020
- [c8]Lars Wienbrandt, Jan Christian Kässens, David Ellinghaus:
Reference-Based Haplotype Phasing with FPGAs. ICCS (3) 2020: 481-495 - 2018
- [c7]Lars Wienbrandt, Jan Christian Kässens, Matthias Hübenthal, David Ellinghaus:
1, 000x Faster Than PLINK: Genome-Wide Epistasis Detection with Logistic Regression Using Combined FPGA and GPU Accelerators. ICCS (2) 2018: 368-381 - 2017
- [c6]Lars Wienbrandt, Jan Christian Kässens, Matthias Hübenthal, David Ellinghaus:
Fast Genome-Wide Third-order SNP Interaction Tests with Information Gain on a Low-cost Heterogeneous Parallel FPGA-GPU Computing Architecture. ICCS 2017: 596-605 - 2016
- [c5]Jan Christian Kässens, Lars Wienbrandt, Manfred Schimmler, Jorge González-Domínguez, Bertil Schmidt:
Combining GPU and FPGA technology for efficient exhaustive interaction analysis in GWAS. ASAP 2016: 170-175 - [c4]Sven Gundlach, Jan Christian Kässens, Lars Wienbrandt:
Genome-Wide Association Interaction Studies with MB-MDR and maxT multiple testing correction on FPGAs. ICCS 2016: 639-649 - 2014
- [c3]Jan Christian Kässens, Jorge González-Domínguez, Lars Wienbrandt, Bertil Schmidt:
UPC++ for bioinformatics: A case study using genome-wide association studies. CLUSTER 2014: 248-256 - [c2]Jorge González-Domínguez, Bertil Schmidt, Jan Christian Kässens, Lars Wienbrandt:
Hybrid CPU/GPU Acceleration of Detection of 2-SNP Epistatic Interactions in GWAS. Euro-Par 2014: 680-691 - [c1]Lars Wienbrandt, Jan Christian Kässens, Jorge González-Domínguez, Bertil Schmidt, David Ellinghaus, Manfred Schimmler:
FPGA-based Acceleration of Detecting Statistical Epistasis in GWAS. ICCS 2014: 220-230
Coauthor Index
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