The landscape of exascale research: A data-driven literature analysis
The next generation of supercomputers will break the exascale barrier. Soon we will have
systems capable of at least one quintillion (billion billion) floating-point operations per …
systems capable of at least one quintillion (billion billion) floating-point operations per …
Continuous learning of HPC infrastructure models using big data analytics and in-memory processing tools
Exascale computing represents the next leap in the HPC race. Reaching this level of
performance is subject to several engineering challenges such as energy consumption …
performance is subject to several engineering challenges such as energy consumption …
Examon-x: a predictive maintenance framework for automatic monitoring in industrial iot systems
In recent years, the Industrial Internet of Things (IIoT) has led to significant steps forward in
many industries, thanks to the exploitation of several technologies, ranging from Big Data …
many industries, thanks to the exploitation of several technologies, ranging from Big Data …
Energy and power aware job scheduling and resource management: Global survey—initial analysis
This work describes the motivation and methodology of a first-of-its-kind global survey of
HPC centers actively employing Energy and Power Aware Scheduling and Resource …
HPC centers actively employing Energy and Power Aware Scheduling and Resource …
Paving the way toward energy-aware and automated datacentre
Energy efficiency and datacentre automation are critical targets of the research and
deployment agenda of CINECA and its research partners in the Energy Efficient System …
deployment agenda of CINECA and its research partners in the Energy Efficient System …
Production hardware overprovisioning: Real-world performance optimization using an extensible power-aware resource management framework
Limited power budgets will be one of the biggest challenges for deploying future exascale
supercomputers. One of the promising ways to deal with this challenge is hardware over …
supercomputers. One of the promising ways to deal with this challenge is hardware over …
Scheduling-based power cap** in high performance computing systems
Supercomputer installed capacity worldwide increased for many years and further growth is
expected in the future. The next goal for high performance computing (HPC) systems is …
expected in the future. The next goal for high performance computing (HPC) systems is …
Predicting job power consumption based on rjms submission data in hpc systems
Power-aware scheduling is a promising solution to the resource usage monitoring of High-
Performance Computing facility electrical power consumption. This kind of solution needs a …
Performance Computing facility electrical power consumption. This kind of solution needs a …
Improving prediction of computational job execution times with machine learning
Predicting resource consumption and run time of computational workloads is crucial for
efficient resource allocation, or cost and energy optimization. In this paper, we evaluate …
efficient resource allocation, or cost and energy optimization. In this paper, we evaluate …
Data-driven job dispatching in HPC systems
Abstract As High Performance Computing (HPC) systems get closer to exascale
performance, job dispatching strategies become critical for kee** system utilization high …
performance, job dispatching strategies become critical for kee** system utilization high …