The use of High Performance Computing (HPC) in commercial and consumer IT
applications is becoming popular. HPC users need the ability to gain rapid and scalable …

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 …

Future heterogeneous single-ISA multicore processors will have an edge in potential
performance per watt over comparable homogeneous processors. To fully tap into that …

With the advent of big data applications, which tend to have longer execution time, choosing
the right cloud VM has significant performance and economic implications. For example, in …

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 …

Execution time is no longer the only metric by which computational systems are judged. In
fact, explicitly sacrificing raw performance in exchange for energy savings is becoming a …

In multicore systems, shared resources such as caches or the memory subsystem can lead
to contention between applications running on different cores, entailing reduced …

The numerous advantages of cloud computing environments, including scalability, high
availability, and cost effectiveness have encouraged service providers to adopt the available …

An apparatus and method are provided to perform constrained optimization of a constrained
property of an apparatus, which is complex due to having several components, and these …

This paper provides both theoretical and experimental evidence for the existence of an
Energy/Frequency Convexity Rule, which relates energy consumption and CPU frequency …