Abstract High-Performance Computing (HPC) workloads are being widely used to solve
complex problems in scientific applications from diverse domains, such as weather …

High-Performance Computing (HPC) jobs consist of data and memory-intensive tasks often
executed as workflows or ensembles to facilitate efficient and coordinated execution. These …

HPC workloads and their Increasing data processing demands have led to using in situ
execution, which couples simulation and analytics to reduce cross node memory accesses …

Abstract High-Performance Computing (HPC) applications, as implied by their name,
typically demand substantial computing resources, while Big Data workloads necessitate …

The emergence of heterogeneous memory (HM) provides a cost-effective and high-
performance solution to memory-consuming HPC applications. However, using HM, wisely …

This paper presents some of the current challenges in designing deep learning artificial
intelligence (AI) and integrating it with traditional high-performance computing (HPC) …

Resource managers in modern HPC batch systems allocate compute resources (nodes) to
parallel compute jobs. Users submit scripts to launch parallel programs along with requests …

Many HPC applications suffer from a bottleneck in the shared caches, instruction execution
units, I/O or memory bandwidth, even though the remaining resources may be underutilized …

This book brings a thorough explanation on the path needed to use cloud computing
technologies to run High-Performance Computing (HPC) applications. Besides presenting …

The emergence of heterogeneous memory (HM) provides a cost-effective and high-
performance solution to memory-consuming HPC applications. Deciding the placement of …