  High performance computing (HPC) has driven collaborative science discovery
for decades. Exascale computing platforms, currently in the design stage, will
be deployed around 2022. The next generation of supercomputers is expected to
utilize radically different computational paradigms, necessitating fundamental
changes in how the community of scientific users will make the most efficient
use of these powerful machines. However, there have been few studies of how
scientists work with exascale or close-to-exascale HPC systems. Time as a
metaphor is so pervasive in the discussions and valuation of computing within
the HPC community that it is worthy of close study. We utilize time as a lens
to conduct an ethnographic study of scientists interacting with HPC systems. We
build upon recent CSCW work to consider temporal rhythms and collective time
within the HPC sociotechnical ecosystem and provide considerations for future
system design.
