Constructing energy-efficient database systems to reduce economic costs and
environmental impact has been studied for 10 years. With the emergence of the big data …

Cloud platforms' rapid growth is raising significant concerns about their carbon emissions.
To reduce carbon emissions, future cloud platforms will need to increase their reliance on …

Computing systems have undergone a tremendous change in the last few decades with
several inflexion points. While Moore's law guided the semiconductor industry to cram more …

Modern processors dynamically control their operating frequency to optimize resource
utilization, maximize energy savings, and conform to system-defined constraints. If, during …

Fine-grained power monitoring of software activities becomes unavoidable to maximize the
power usage efficiency of data centers. In particular, achieving an optimal scheduling of …

The growing electricity demand of IT infrastructure has raised significant concerns about its
carbon footprint. To mitigate the associated emissions of computing systems, current efforts …

To reduce their environmental impact, cloud datacenters' are increasingly focused on
optimizing applications' carbon-efficiency, or work done per mass of carbon emitted. To …

As we approach exascale computing, large-scale HPC systems are becoming increasingly
power-constrained, requiring them to run HPC workloads in an energy-efficient manner. The …

Deep neural network (DNN)-based transformer models have demonstrated remarkable
performance in natural language processing (NLP) applications. Unfortunately, the unique …

Datacenter capacity is growing exponentially to satisfy the increasing demand for many
emerging computationally-intensive applications, such as deep learning. This trend has led …