"Partitioning a Large Simulation as It Runs" (Next Week at the Statistics Seminar)

March 16, 2018
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(This article was originally published at Three-Toed Sloth , and syndicated at StatsBlogs.)

Attention conservation notice: Only of interest if you (1) care about running large simulations which are actually good for something, and (2) will be in Pittsburgh on Tuesday.
Kary Myers, "Partitioning a Large Simulation as It Runs" (Technometrics forthcoming)
Abstract: As computer simulations continue to grow in size and complexity, they present a particularly challenging class of big data problems. Many application areas are moving toward exascale computing systems, systems that perform $10^{18}$ FLOPS (FLoating-point Operations Per Second) --- a billion billion calculations per second. Simulations at this scale can generate output that exceeds both the storage capacity and the bandwidth available for transfer to storage, making post-processing and analysis challenging. One approach is to embed some analyses in the simulation while the simulation is running --- a strategy often called in situ analysis --- to reduce the need for transfer to storage. Another strategy is to save only a reduced set of time steps rather than the full simulation. Typically the selected time steps are evenly spaced, where the spacing can be defined by the budget for storage and transfer. Our work combines both of these ideas to introduce an online in situ method for identifying a reduced set of time steps of the simulation to save. Our approach significantly reduces the data transfer and storage requirements, and it provides improved fidelity to the simulation to facilitate post-processing and reconsruction. We illustrate the method using a computer simulation that supported NASA's 2009 Lunar Crater Observation and Sensing Satellite mission.
Time and place: 4--5 pm on Tuesday, 10 May 2016, in Baker Hall 235B

As always, the talk is free and open to the public.

Enigmas of Chance



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