Re: StratOS: A Big Data platform for scientific computing
good to know about it! thanks! On Tue, Mar 10, 2015 at 3:14 PM, Nathaniel Stickley idi...@gmail.com wrote: 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: https://bitbucket.org/stratos-project/stratos The formal announcement, submitted to Astronomy and Computing: http://arxiv.org/abs/1503.02233 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
Re: StratOS: A Big Data platform for scientific computing
Sounds interesting! Thanks for letting us know. On Tue, Mar 10, 2015 at 2:14 PM, Nathaniel Stickley idi...@gmail.com wrote: 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: https://bitbucket.org/stratos-project/stratos The formal announcement, submitted to Astronomy and Computing: http://arxiv.org/abs/1503.02233 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
