This paper provides a review of contemporary methodologies and APIs for parallel
programming, with representative technologies selected in terms of target system type …

In view of the growing presence and popularity of multicore and manycore processors,
accelerators, and coprocessors, as well as clusters using such computing devices, the …

Upcoming HPC clusters will feature hybrid memories and storage devices per compute
node. In this work, we propose to use the MPI one-sided communication model and MPI …

HPC systems are a critical resource for scientific research and advanced industries. The
increased demand for computational power and memory ushers in the exascale era, in …

Application workflows use files to communicate between stages of data processing and
analysis kernel executions. In large-scale high performance distributed systems, file based …

The paper presents a fail-safe NVRAM based mechanism for creation and recovery of data
copies during parallel MPI application runtime. Specifically, we target a cluster environment …

The inherent integration of novel hardware and software components on HPC is expected to
considerably aggravate the Mean Time Between Failures (MTBF) on scientific applications …

While many scientific, large-scale applications are data-intensive, fast and efficient I/O
operations have become of key importance for HPC environments. We propose an MPI I/O …

In this paper we build on our previously proposed MPI I/O NVRAM distributed cache for high
performance computing. In each cluster node it incorporates NVRAMs which are used as an …

The paper presents architecture and design of three versions for fail-safe data storage in a
distributed cache using NVRAM in cluster nodes. In the first one, cache consistency is …