Speaker
Jay Lofstead
(Sandia National Laboratories)
Description
Simulating Additive Manufacturing (AM) has been difficult because simulation domains can be extremely large and the computational load is minimal. With the way that AM works, only a small part of the simulation domain is required at any time. Stitch-IO offers a way to decompose AM simulations into a series of short runs over short time and space scales and then enables stitching together the output into a lossless, coherent form. The data storage requirement drops dramatically while requiring as little as a laptop and runs the whole simulation in the same wall clock time as if it were on a large supercomputer with the whole simulation domain in RAM. With native Python and C APIs, Stitch-IO offers flexible analysis interfaces as well.
| Student? | No |
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Primary author
Jay Lofstead
(Sandia National Laboratories)
