Resource and job management software is crucial to High Performance Computing (HPC)
for efficient application execution. However, current systems and approaches can no longer …

Summary The Message Passing Interface (MPI) 3.0 standard includes a significant revision
to MPI's remote memory access (RMA) interface, which provides support for one‐sided …

Exascale systems will present programmers with many challenges. The authors review the
parallel programming models that are appropriate for such systems and the challenges that …

With the exponential growth of supercomputers in parallelism, applications are growing
more diverse, including traditional large-scale HPC MPI jobs, and ensemble workloads such …

Scientists from many different fields have been develo** Bulk‐Synchronous MPI
applications to simulate and study a wide variety of scientific phenomena. Since failure rates …

Data‐driven applications are essential to handle the ever‐increasing volume, velocity, and
veracity of data generated by sources such as the Web and Internet of Things (IoT) devices …

MPI+ threads is gaining prominence as an alternative to the traditional" MPI everywhere"
model in order to better handle the disproportionate increase in the number of cores …

Process management libraries and runtime environments serve an important role in the
HPC application lifecycle. This work provides a roadmap for implementing a high …

The two most common parallel execution models for many-core CPUs today are
multiprocess (eg, MPI) and multithread (eg, OpenMP). The multiprocess model allows each …

System-level checkpoint-restart is a critical technology for long-running jobs in high-
performance computing. Yet, only two approaches to checkpointing MPI applications …