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From Vinod Kone <>
Subject Re: StratOS: A Big Data platform for scientific computing
Date Tue, 10 Mar 2015 21:31:18 GMT
Sounds interesting! Thanks for letting us know.

On Tue, Mar 10, 2015 at 2:14 PM, Nathaniel Stickley <>

> Hello Mesos users,
> I am not sure that this is the best place for this announcement, but I
> thought it would be worth a try...
> The Multidisciplinary Image Processing Laboratory at the University of
> California, Riverside, is announcing a Mesos-based Big Data framework for
> scientific computing. The project is currently called StratOS (because it
> is closer to the user than Mesos).
> Although StratOS is primarily designed for scientists, it is useful for a
> much larger group of people because of its generality. StratOS can be
> thought of as a step between classical batch processors, like TORQUE, and
> the modern framework, Apache Spark. It is an HDFS-aware framework that
> allows arbitrary command-line-driven applications to be used in a
> datacenter. Pre-existing code can be used without modification and a Python
> module is provided for interactive use and scripting. The intuitive
> interface and compatibility with older software makes it quite attractive
> to scientists who have limited coding skills and limited resources with
> which to hire software professionals.
> The project page:
> The formal announcement, submitted to Astronomy and Computing:
> The project is in its infancy, but it is already being used to analyze a
> 'multiverse' simulation (an ensemble of cosmological simulations) at UC
> Riverside. Proper installation scripts have not yet been written, but
> people on this mailing list should have very little difficulty.
> Feel free to contribute!
> Regards,
> Nathaniel R. Stickley, Ph.D.
> Assistant Project Scientist
> Department of Physics and Astronomy
> University of California, Riverside

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