Case Study: University of Kansas, Life Sciences Research

Eric Lee, a graduate student at the University of Kansas researching nanofluidics, shares his positive experience using Rescale for his computational analyses involving LAMMPS, a molecular dynamics code. Lee needed access to a large computing cluster to efficiently run his simulations and was recommended Rescale by a friend. He was impressed with Rescale's support, which quickly addressed his concerns about compatibility with his LAMMPS version and custom packages. The user-friendly process on Rescale allowed Lee to set up and submit jobs easily, resulting in a dramatic reduction in simulation time from four days on his local machines to less than 12 hours on Rescale. This significant improvement in runtime performance greatly enhanced his research productivity, and Lee anticipates continuing to use Rescale for future analyses.