Distributed big data in scientific computing presents a major I/O performance bottleneck
when exploiting data paral-lelism. Consumer and producer compute nodes are often …

Offloading compute-intensive kernels to hardware accelerators relies on the large degree of
parallelism offered by these platforms. However, the effective bandwidth of the memory …

A code for out-of-core stencil computation manages data that exceeds the memory capacity
of a GPU. However, such a code necessitates frequent data transfers between the CPU and …

HPC trends favor algorithms and implementations that reduce data motion relative to
FLOPS. We investigate the use of lossy compressed data arrays in place of traditional IEEE …

A quantum computer simulator is a tool that simulates the operation of a quantum computer
using classical computers. Researchers widely adopt the state-vector-based simulator to …

Stencil computation is an extensively-utilized class of scientific-computing applications that
can be efficiently accelerated by graphics processing units (GPUs). Out-of-core approaches …

As processors compute power keeps increasing, so do their demands in memory accesses:
some computations will require a higher bandwidth and exhibit regular memory access …

An out-of-core stencil computation code handles large data whose size is beyond the
capacity of GPU memory. Whereas, such an code requires streaming data to and from the …

The zfp software library provides a comprehensive solution to both lossy and lossless data
compression. zfp reduces the storage space of high-precision floating-point data without …