mpi

Our users are often confused by the output from programs such as zip2john sometimes being very large (multi-gigabyte). Maybe we should identify and enhance these programs to output a message to stderr to explain to users that it's normal for the output to be very large - maybe always or maybe only when the output size is above a threshold (e.g., 1 million bytes?)

The documentation for the function shmem_wait seems inconsistent with the function signatures as it describes parameters target, pe, and value that are actually not part of the interface. The parameter ivar is described but at least in the C interface the variable is named var (without the prefix i).

See https://github.com/open-mpi/ompi/blob/master/oshmem/shmem/man/man3/shmem_wai

At the moment Cylon doesn't support a distribtued data sampler for deep learning systems. PyTorch contains an abstraction on supporting various sampling modes. This is bound to a data loader which uses the sampler to shuffle the data for each epoch based on a various sampling criteria. This is a useful feature for deep learning applications using Cylon as the data source for an end-to-end data ana