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Hi,

for the last couple of years I have been toying with hpx. I have now
reached a state where for some simple, but practically relevant,
problems I get performance that is comparable with openmp on a single
node. My main motivation for turning to hpx is to have have multi-node
parallel code. I have started to work on that based on the
documentation and a few other sources, but I have not gotten very far.
So I am looking for an hpx-guru or at least someone with experience
getting some code to run on multiple nodes.

The bit of code I am looking to parallelize initially is very simple.
The core algorithm has about 200 lines (without setup, configuration
etc.) and the problem is embarrassingly parallel. So for someone who
knows what they are doing, this should be a piece of cake. Still,
there are a couple of interesting aspects (e.g. using the new
partitioned vector) and I have two other, slightly more complicated,
bits that have been prepared for parallelization.

So this is what I am looking for:

- - Someone to extend the existing parallelization to multiple nodes
using hpx
- - Compile and run the existing benchmark codes to quantify the scalabili
ty


In return I offer:

- - Co-authorship on a paper describing the parallelization and
performance improvement. I plan to submit it to Computers & Geosciences
(http://www.journals.elsevier.com/computers-and-geosciences/). I can
write most of the paper, so this would be a relatively minimal effort
for a peer-reviewed publication

- - Access to the University 255 node cluster for the duration of the
project

- - Continuing collaboration if that is of interest.


If this sound interesting to you or you have any questions, just send
me an email and we can discuss this further.

Regards

Max

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