Exploiting Graphics Adapters for Computational Biology
Diploma Thesis (2012)
Accelerate Genome-Wide Association Studies (GWAS) by performing the most demanding computation on the GPU in a batched, streamed fashion. Involves huge data size (terabytes), streaming, asynchronicity, parallel computation and some more buzzwords.
@MastersThesis{Beyer2012GWAS,
author = {Lucas Beyer},
title = {{Exploiting Graphics Adapters for Computational Biology}},
school = {RWTH Aachen (AICES)},
address = {Aachen, Germany},
year = {2012},
}
