Introduction to MPI.jl - MIT Parallel Computing and Scientific Machine Learning (SciML)
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02: Serial Code
03: SciML Intro
04: How Loops Work
05: Basics of Parallelism
06: Flavors of Parallelism
07: ODEs
08: Forward AD
09: Stiff ODEs
10: Reverse AD
11: δP
12: MPI
13: GPUs
14: PDEs
15: Physics Informed Learning
16: Probabilistic Programming
17: Global Sensitivity Analysis
18: Profiling & Optimization
19: Uncertainty Programming
Description of MPI and MPI.jl, including demonstrations on its use.
MPI.jl slides
MPI.jl video