  High Performance Computing~(HPC) software stacks have become complex, with
the dependencies of some applications numbering in the hundreds. Packaging,
distributing, and administering software stacks of that scale is a complex
undertaking anywhere. HPC systems deal with esoteric compilers, hardware, and a
panoply of uncommon combinations. In this paper, we explore the mechanisms
available for packaging software to find its own dependencies in the context of
a taxonomy of software distribution, and discuss their benefits and pitfalls.
We discuss workarounds for some common problems caused by using these composed
stacks and introduce Shrinkwrap: A solution to producing binaries that directly
load their dependencies from precise locations and in a precise order. Beyond
simplifying the use of the binaries, this approach also speeds up loading as
much as 7x for a large dynamically-linked MPI application in our evaluation.
