Tag | Beckstein Lab

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Tag Archives: high-performance-computing
Blue Waters Graduate Fellowship for Sean Seyler

Blue Waters Graduate Fellowship for Sean Seyler

Graduate student Sean Seyler was awarded a 2016 Blue Waters Graduate Fellowship to carry out research that makes use of the Blue Waters Petascale Supercomputer.

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PHY494 — Topic: Computational Methods in Physics

PHY494 — Topic: Computational Methods in Physics

The course provides an introduction to using the computer as a tool to solve problems in physics. Students will learn to analyze problems, select appropriate numerical algorithms, implement them using Python, a programming language widely used in scientific computing, and critically evaluate their numerical results. Problems will be drawn from diverse areas of physics.

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Becksteinlab featured in A2C2 Quarterly

Becksteinlab featured in A2C2 Quarterly

The work in the lab was featured in the Winter 2014 edition of the A2C2 Quarterly newsletter.

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Submitting strings of jobs on supercomputers

Submitting strings of jobs on supercomputers

The script qsub_dependents.py automates the process of submitting strings of dependents jobs. One either tells it how many jobs to run or lets the script calculate the number of jobs based on the benchmarked performance in ns/d and the desired simulation run time in ns. It simplifies running long simulations on supercomputers that limit the run time of jobs.

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