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My Road to Supercomputing. Holly Krutka The University of Oklahoma. Research Background. Using a computational fluid dynamics (CFD) package Fluent to simulate air flow The air flow is related to the melt blowing process of polymers Chemical engineer NOT A COMPUTER SCIENTIST!!!.
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My Road to Supercomputing Holly Krutka The University of Oklahoma
Research Background • Using a computational fluid dynamics (CFD) package Fluent to simulate air flow • The air flow is related to the melt blowing process of polymers • Chemical engineer • NOT A COMPUTER SCIENTIST!!!
Why Use CFD? • Experiments had already been completed • There is no affordable way to include the polymer in the air flow and take experimental measurements • To be on the cutting edge of research in our field • FAST AND CHEAP!!!
How Fluent Works • Make a computational domain • Split domain up into finite volumes • Set boundary conditions • Set model parameters • Fluent solves the continuity equation, momentum equations, ect. • Analyze simulation results
Undergraduate Research • 2D simulations • Symmetrical • Isothermal initially • Grid cells were small • About 100,000 cells per grid • Using a single processor on a lab computer • Simulations required between 2-6 days to finish
Graduate Research • Simulations become much more complex • Non-isothermal • 3D • 700,000 – 2,000,000+ • Including polymers • Time dependent simulations • Lots of simulations to run…and only two processors?!?!?!?
Supercomputing • CFD program is actually designed to run on a supercomputer • OU has a great supercomputing program • One problem….still NOT a computer scientist • YOU DON’T NEED TO BE!
Using Sooner • CFD package was loaded on to Sooner (Brandon George, OSCER Manager of Operations ) • Started using sooner.oscer.ou.edu (IBM p690, 32 POWER4 1.1 GHz CPUs, 32 GB RAM -- now decommissioned) • Use Secure Shell to move my simulations to Sooner • Wrote a simple script file (with help) to run the simulations • Submit the simulations to the queue and wait
From Sooner to Topdawg • Fluent loaded on to Topdawg (Brandon George) • Later transitioned to topdawg.oscer.ou.edu (Dell Xeon cluster,1024 Xeon 3.2 GHz CPUs, 2176 GB RAM)Simulations are submitted in a queue, similar to Sooner • Great improvement on speed Desktop → Sooner → Topdawg
Advantages • Using more processors at a time (4 – 8) • Much faster • More simulations at once • Much more stable • My desktop computer is free to work
Conclusions • You do not need to be a computer scientist to use OU’s supercomputing resources • Utilizing OSCER has greatly improved both the quality and quantity of my PhD research