Energy consumption of computing systems has become a major concern. Constrained by
cost, environmental concerns and policy, minimising the energy foot-print of computing …

Energy efficiency is a major concern in modern high-performance computing system design.
In the past few years, there has been mounting evidence that power usage limits system …

Energy consumption is one of the top challenges for achieving the next generation of
supercomputing. Codesign of hardware and software is critical for improving energy …

We describe an energy-based analogue of the time-based roofline model. We create this
model from the perspective of algorithm designers and performance tuners, with the intent …

Performance and power are critical design constraints in today's high-end computing
systems. Reducing power consumption without impacting system performance is a …

Power is now a first-order design constraint in large-scale parallel computing. Used
carefully, dynamic voltage scaling can execute parts of a program at a slower CPU speed to …

Mining frequent itemsets in a datastream proves to be a difficult problem, as itemsets arrive
in rapid succession and storing parts of the stream is typically impossible. Nonetheless, it …

DVFS is a ubiquitous technique for CPU power management in modern computing systems.
Reducing processor frequency/voltage leads to a decrease of CPU power consumption and …

This paper derives simple, yet fundamental formulas to describe the interplay between
parallelism of an application, program performance, and energy consumption. Given the …

Predicting performance under Dynamic Voltage Frequency Scaling (DVFS) remains an
open problem. Current best practice explores available performance counters to serve as …