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Sun 22 - Fri 27 October 2017 Vancouver, Canada

Some effort has been employed to allow interpreted languages to be able to take advantage of the computing capabilities of GPUs. This makes sense, because it abstracts the hardware and its specificities away from the user application, making development less complex. However, due to hardware dependencies, the code needs to be compiled prior to execution. We want to compile the Lua function code into a GPU kernel as transparently as possible, allowing the user to access the underlying hardware, without the complexities related to the traditional GPU programming. This scenario presents a great challenge on how to infer variable data types with as little interference as possible on the user programming paradigm.

Mon 23 Oct
Times are displayed in time zone: (GMT-07:00) Tijuana, Baja California change

13:30 - 15:00: SEPS 2017 - Session 3: Software concurrency and heterogeneity at Brighton
Chair(s): Sébastien ValatCERN
seps-201713:30 - 14:00
Janwillem SwalensVrije Universiteit Brussel, Belgium, Joeri De KosterVrije Universiteit Brussel, Belgium, Wolfgang De MeuterVrije Universiteit Brussel
Link to publication DOI Pre-print
seps-201714:00 - 14:20
seps-201714:20 - 14:40
Paulo MottaMotta & SantAnna Pesquisa e Desenvolvimento
seps-201714:40 - 15:00
Matthias BookUniversity of Iceland, Morris RiedelJülich Supercomputing Centre, Helmut NeukirchenUniversity of Iceland, Markus GötzJülich Supercomputing Centre