Exascale computing brings with it diverse machine architectures and programming
approaches which challenge application developers. Applications need to perform well on a …

Analysis of large-scale simulation output is a core element of scientific inquiry, but analysis
queries may experience significant I/O overhead when the data is not structured for efficient …

Scientific applications, such as those simulating earthquakes, the origins of universe, etc.,
often produce massive amounts of data as high-performance computing (HPC) systems are …

Reading and writing data efficiently from storage system is necessary for most scientific
simulations to achieve good performance at scale. Many software solutions have been …

In high-performance computing (HPC), scientific applications often manage a massive
amount of data using I/O libraries. These libraries provide convenient data model …

Popular parallel I/O libraries, such as HDF5, provide tuning parameters to obtain superior
performance. However, the selection of effective parameters on production systems is …

Modern GPUs are capable of sustaining floating point operation rates and memory
bandwidths that exceed those of most currently available CPUs, making them attractive …

In this paper we introduce the Indexed Massive Directory, a new technique for indexing data
within DeltaFS. With its design as a scalable, server-less file system for HPC platforms …

Many recent efforts have shown that in-network computing can benefit various datacenter
applications. In this paper, we explore a relatively less-explored domain which we argue can …

Abstract Vector Particle-In-Cell (VPIC) is one of the fastest plasma simulation codes in the
world, with particle numbers ranging from one trillion on the first petascale system …