The increasing complexity and scale of modern computing needs have led to the
development and adoption of cloud computing as a ubiquitous paradigm for data storage …

As we approach the exascale computing era, the focused understanding of power
consumption and its overall constraint on HPC architectures and applications are becoming …

We present bespoke energy efficiency optimizations in high performance computing (HPC)
environments using holistic approach to data collection, analysis and proactive …

The power & energy demands of HPC machines have grown significantly. Modern exascale
HPC systems require tens of megawatts of combined power for computing resources and …

The improvement in complexity and size of today's computing requirements has prompted
the creation and widespread adoption of computing in the cloud as an accepted model for …

The need for real-time processing to enable automated decision making and experimental
steering has driven a shift from high-performance computing workflows on a centralized …

In the exascale era in which application behavior has large power & energy footprints, per-
application job-level awareness of such impression is crucial in taking steps towards …

In the face of surging power demands for exascale HPC systems, this work tackles the
critical challenge of understanding the impact of software-driven power management …

In this work, we demonstrate the challenges in predicting HPC cluster power consumption in
the face of significant temporal skew in power consumption behavioral patterns. Predicting …