A survey of power and energy predictive models in HPC systems and applications
Power and energy efficiency are now critical concerns in extreme-scale high-performance
scientific computing. Many extreme-scale computing systems today (for example: Top500) …
scientific computing. Many extreme-scale computing systems today (for example: Top500) …
Towards energy proportionality for large-scale latency-critical workloads
Reducing the energy footprint of warehouse-scale computer (WSC) systems is key to their
affordability, yet difficult to achieve in practice. The lack of energy proportionality of typical …
affordability, yet difficult to achieve in practice. The lack of energy proportionality of typical …
GPGPU performance and power estimation using machine learning
G Wu, JL Greathouse, A Lyashevsky… - 2015 IEEE 21st …, 2015 - ieeexplore.ieee.org
Graphics Processing Units (GPUs) have numerous configuration and design options,
including core frequency, number of parallel compute units (CUs), and available memory …
including core frequency, number of parallel compute units (CUs), and available memory …
Hardware and Software Solutions for Energy‐Efficient Computing in Scientific Programming
Energy consumption is one of the major issues in today's computer science, and an
increasing number of scientific communities are interested in evaluating the tradeoff …
increasing number of scientific communities are interested in evaluating the tradeoff …
Predicting performance impact of DVFS for realistic memory systems
R Miftakhutdinov, E Ebrahimi… - 2012 45th Annual IEEE …, 2012 - ieeexplore.ieee.org
Dynamic voltage and frequency scaling (DVFS) can make modern processors more power
and energy efficient if we can accurately predict the effect of frequency scaling on processor …
and energy efficient if we can accurately predict the effect of frequency scaling on processor …
PPEP: Online performance, power, and energy prediction framework and DVFS space exploration
Performance, power, and energy (PPE) are critical aspects of modern computing. It is
challenging to accurately predict, in real time, the effect of dynamic voltage and frequency …
challenging to accurately predict, in real time, the effect of dynamic voltage and frequency …
Tradeoffs between power management and tail latency in warehouse-scale applications
The growth in datacenter computing has increased the importance of energy-efficiency in
servers. Techniques to reduce power have brought server designs close to achieving …
servers. Techniques to reduce power have brought server designs close to achieving …
Detecting memory-boundedness with hardware performance counters
Modern processors incorporate several performance monitoring units, which can be used to
count events that occur within different components of the processor. They provide access to …
count events that occur within different components of the processor. They provide access to …
Virtualization techniques compared: performance, resource, and power usage overheads in clouds
SK Tesfatsion, C Klein, J Tordsson - Proceedings of the 2018 ACM …, 2018 - dl.acm.org
Virtualization solutions based on hypervisors or containers are enabling technologies for
scalable, flexible, and cost-effective resource sharing. As the fundamental limitations of each …
scalable, flexible, and cost-effective resource sharing. As the fundamental limitations of each …
A methodology for modeling dynamic and static power consumption for multicore processors
System designers and application programmersmust consider trade-offs between
performance and energy. Making energy-aware decisions when designing an application or …
performance and energy. Making energy-aware decisions when designing an application or …