User-Defined Functions (UDF) allow application programmers to specify analysis operations
on data, while leaving the data management tasks to the system. This general approach …

The Hierarchical Data Format 5 (HDF5) has long been defined as one of the most prominent
data models, binary file formats and I/O libraries for storing and managing scientific data …

Modern scientific applications read and write massive amounts of data through simulations,
observations, and analysis. These applications spend the majority of their runtime in …

Traditionally, I/O systems have been developed within the confines of a centralized OS
kernel. This led to monolithic and rigid storage systems that are limited by low development …

Computing a Voronoi or Delaunay tessellation from a set of points is a core part of the
analysis of many simulated and measured datasets: N-body simulations, molecular …

Scientific applications often require high-bandwidth shared storage to perform joint
simulations and collaborative data analytics. Shared memory pools provide a chance to …

POSIX-based parallel file systems provide strong consistency semantics, which many
modern HPC applications do not need and do not want. Object store technologies avoid …

The coupling between a rapidly expanding cloud of ionized debris and an ambient
magnetized plasma is revisited with a hybrid (kinetic ion/fluid electron) simulation code that …

Many scientific applications produce very large amounts of data as advances in hardware
fuel computing and experimental facilities. Managing and analyzing massive quantities of …

This paper presents Mosiqs, a persistent memory object storage framework with metadata
indexing and querying for scientific computing. We design Mosiqs based on the key idea …