High-performance computing scientists are producing unprecedented volumes of data that
take a long time to load for analysis. However, many analyses only require loading in the …

With ever larger data sets and cloud-based storage systems, it becomes increasingly more
attractive to move computation to data, a common principle in big data systems. Historically …

Over the years, hardware trends have introduced various heterogeneous compute units
while also bringing network and storage bandwidths within an order of magnitude of …

We describe the four publications we have tried to make reproducible and discuss how each
paper has changed our workflows, practices, and collaboration policies. The fundamental …

Scientific data sets have grown rapidly in recent years, outpacing the growth in memory and
network bandwidths. This I/O bottleneck has made it increasingly difficult for scientists to …

This paper describes an attempt to use a NoSQL database engine to manage custom
metadata using a rich query interface as motivating and descriptive examples of what kind of …

Storage system solutions have historically been dominated by proprietary offerings
designed around a fixed set of common interfaces such as the POSIX file abstraction …

Global file system namespaces are difficult to scale because of the overheads of POSIX IO
metadata management. The file system metadata IO created by today's workloads subjects …