HI Jeff,

Please go ahead and start a draft proposal in the GSOC 2016 site.

Thanks,

Marlon

From: Sandra Gesing <[email protected]<mailto:[email protected]>>
Reply-To: "[email protected]<mailto:[email protected]>" 
<[email protected]<mailto:[email protected]>>
Date: Monday, March 21, 2016 at 5:05 PM
To: "[email protected]<mailto:[email protected]>" 
<[email protected]<mailto:[email protected]>>
Subject: Re: GSoC Proposal: In-Situ Molecular Dynamics Data Analysis

Dear Jeff,

I have seen that you included in your description also Jupyter as benefit from 
your project. Jupyter is planned to come in via a different project but you can 
leave all the other benefits in.

Thanks,
Sandra

------------------------------------------------------------------------------------------------------------
Sandra Gesing
Research Assistant Professor, Department of Computer Science and Engineering
Computational Scientist, Center for Research Computing
University of Notre Dame
http://www3.nd.edu/~sgesing
------------------------------------------------------------------------------------------------------------

On Sat, Mar 19, 2016 at 6:38 PM, Jeffery Kinnison 
<[email protected]<mailto:[email protected]>> wrote:
Good evening,

I have been communicating with Suresh and Marlon about creating a gateway for 
Molecular Dynamics (MD) simulation and analysis software, specifically the 
OpenMM software package (http://openmm.org/) and the MDTraj analysis framework 
(http://mdtraj.org). MD studies typically require hundreds to thousands of 
independent simulations distributed over a cluster to gather sufficient data, 
with simulations running for days, weeks, months, or longer, depending on the 
size of the molecule. Because of these considerations, tools are needed for 
creating and distributing simulations, monitoring simulations as they run, and 
performing certain actions as events occur during simulation.

The goal of this project is to extend Apache Airavata in the following ways:

  *   monitoring running simulations for user-defined events
  *   performing user-defined actions when an event occurs
  *   monitoring system resources
  *   streaming partial simulation results and system resource usage

I have previously collaborated on a piece of software called Folding@Work 
(named for Folding@Home<https://folding.stanford.edu/home/>), which distributes 
simulations and returns partial results for analysis, which could serve as a 
prototype for the functionality described above.

This project is being considered as a Google Summer of Code proposal, and I 
would appreciate any comments or suggestions to improve these ideas.

Best,
Jeff Kinnison





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