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 …

Emergent heterogeneous systems must be optimized for both power and performance at
exascale. Massive parallelism combined with complex memory hierarchies form a barrier to …

Extreme scale supercomputers available before the end of this decade are expected to have
100 million to 1 billion computing cores. The power and energy efficiency issue has become …

Performance and energy are now the most dominant objectives for optimization on modern
parallel platforms composed of multicore CPU nodes. The existing intra-node and inter-node …

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 …

Predictive models enable a better understanding of the performance characteristics of
applications on multicore systems. Previous work has utilized performance counters in a …

With recognizing power as a first-class citizen in the HPC community and the growth of
software running on battery-driven devices, the need to evaluate software design based on …

Energy efficiency and resilience are two crucial challenges for HPC systems to reach
exactable. While energy efficiency and resilience issues have been extensively studied …

The energy consumption is an important aspect of today's processors and a large variety of
research approaches deal with reducing the energy consumption for specific application …

Energy efficiency has become increasingly important in high performance computing (HPC),
as power constraints and costs escalate. Workload and system characteristics form a …