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Lucas Beyer

Lucas Beyer

UMIC Research Centre (Room 129)

Phone: +49 241 80 20 773

Fax: +49 241 80 22731

Email: emantsal AT ed.nehcaa-htwr.noisiv

Brief Bio

Busy doing too many cool things. See my homepage for more. Mostly, these things: Wordcloud, wow.



TODO: Research in progress :)


A sad year.


In the context of the genome-wide association studies (GWAS), one has to solve long sequences of generalized least-squares problems; such a task has two limiting factors: execution time --often in the range of days or weeks-- and data management --data sets in the order of Terabytes. We present an algorithm that obviates both issues. By pipelining the computation, and thanks to a sophisticated transfer strategy, we stream data from hard disk to main memory to GPUs and achieve sustained peak performance; with respect to a highly-optimized CPU implementation, our algorithm shows a speedup of 2.6x. Moreover, the approach lends itself to multiple GPUs and attains almost perfect scalability. When using 4 GPUs, we observe speedups of 9x over the aforementioned implementation, and 488x over a widespread biology library.
  author    = {Lucas Beyer and Paolo Bientinesi},
  title     = {Streaming Data from HDD to GPUs for Sustained Peak Performance},
  booktitle = {Euro-Par},
  publisher = {Springer},
  series    = {Lecture Notes in Computer Science},
  volume    = {TBD},
  pages     = {TBD},
  year      = {2013},
  isbn      = {TBD},
  ee        = {http://arxiv.org/abs/1302.4332},


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

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