Abstract The Young/Daly formula provides an approximation of the optimal checkpointing
period for a parallel application executing on a supercomputing platform. It was originally …

The SLATE (Software for Linear Algebra Targeting Exascale) library is being developed to
provide fundamental dense linear algebra capabilities for current and upcoming distributed …

Geostatistical modeling, one of the prime motivating applications for exascale computing, is
a technique for predicting desired quantities from geographically distributed data, based on …

Climate and weather can be predicted statistically via geospatial Maximum Likelihood
Estimates (MLE), as an alternative to running large ensembles of forward models. The MLE …

In the face of ever-slowing single-thread performance growth for CPUs, the scientific and
engineering communities increasingly turn to accelerator parallelization to tackle growing …

SLATE (Software for Linear Algebra Targeting Exascale) is a distributed, dense linear
algebra library targeting both CPU-only and GPU-accelerated systems, developed over the …

Infiltration losses may be significant and warrant proper incorporation into mathematical
models for river floods in arid and semi‐arid areas, rainfall‐induced surface runoffs in …

Exploiting data sparsity in dense matrices is an algorithmic bridge between architectures
that are increasingly memory-austere on a per-core basis and extreme-scale applications. In …

Summary Programming paradigms in High‐Performance Computing have been shifting
toward task‐based models that are capable of adapting readily to heterogeneous and …

We present dynamic control replication, a run-time program analysis that enables scalable
execution of implicitly parallel programs on large machines through a distributed and …