Data centers are critical, energy-hungry infrastructures that run large-scale Internet-based
services. Energy consumption models are pivotal in designing and optimizing energy …

Modern graphics processing units (GPUs) have complex architectures that admit
exceptional performance and energy efficiency for high-throughput applications. Although …

Innovations in hardware architecture, such as hyper-threading or multicore processors,
make parallel computing resources available for computer systems in different areas …

Energy and power consumption are becoming critical metrics in the design and usage of
high performance systems. We have extended the Performance API (PAPI) analysis library …

Recent Intel processors support the Running Average Power Level (RAPL) interface, which
among other things provides estimated energy measurements for the CPUs, integrated …

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 …

Energy efficiency is of steadily growing importance in virtually all areas from mobile to high
performance computing. Therefore, lots of research projects focus on this topic and strongly …

In the exascale era, the energy cost of moving data across the memory hierarchy is expected
to be two orders of magnitude higher than the cost of performing a double-precision floating …

Power and energy efficiency are now critical concerns in extreme-scale high-performance
scientific computing. Many extreme-scale computing systems today (for example: Top500) …

Cloud computing has been emerging as a flexible and powerful computational architecture
to offer ubiquitous services to users. It accommodates interconnected hardware and …