Author:Matthias Hübenthal

Publications
1,000x Faster than PLINK: Genome-Wide Epistasis Detection with Logistic Regression Using Combined FPGA and GPU Accelerators Lars Wienbrandt, Jan Christian Kässens, Matthias Hübenthal and David Ellinghaus EasyChair Preprint no. 60

Keyphrases

Boost, Computer Science, contingency table, FPGA computing, gene-gene (GxG) interaction, gene-gene interaction, genome wide interaction study, Genome-Wide Association Studies (GWAS), Genome-wide association study, genome-wide interaction studies (GWIS), GPU computing, gpu computing architecture, Hardware Accelerator, heterogeneous architectures, hybrid computing, intel xeon e5, kintex ultrascale ku115, linkage disequilibrium, linkage disequilibrium (LD), logistic regression, logistic regression test, nvidia tesla p100, PLINK, tesla p100 gpu, ultrascale ku115 fpga, xilinx kintex ultrascale.