Data center energy consumption modeling: A survey
M Dayarathna, Y Wen, R Fan - IEEE Communications surveys …, 2015 - ieeexplore.ieee.org
Data centers are critical, energy-hungry infrastructures that run large-scale Internet-based
services. Energy consumption models are pivotal in designing and optimizing energy …
services. Energy consumption models are pivotal in designing and optimizing energy …
Understanding GPU power: A survey of profiling, modeling, and simulation methods
RA Bridges, N Imam, TM Mintz - ACM Computing Surveys (CSUR), 2016 - dl.acm.org
Modern graphics processing units (GPUs) have complex architectures that admit
exceptional performance and energy efficiency for high-throughput applications. Although …
exceptional performance and energy efficiency for high-throughput applications. Although …
Selecting stars: The k most representative skyline operator
Skyline computation has many applications including multi-criteria decision making. In this
paper, we study the problem of selecting k skyline points so that the number of points, which …
paper, we study the problem of selecting k skyline points so that the number of points, which …
Accelerometer: Understanding acceleration opportunities for data center overheads at hyperscale
A Sriraman, A Dhanotia - Proceedings of the Twenty-Fifth International …, 2020 - dl.acm.org
At global user population scale, important microservices in warehouse-scale data centers
can grow to account for an enormous installed base of servers. With the end of Dennard …
can grow to account for an enormous installed base of servers. With the end of Dennard …
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) …
[图书][B] Understanding latency hiding on GPUs
V Volkov - 2016 - search.proquest.com
Modern commodity processors such as GPUs may execute up to about a thousand of
physical threads per chip to better utilize their numerous execution units and hide execution …
physical threads per chip to better utilize their numerous execution units and hide execution …
A comparative study of methods for measurement of energy of computing
Energy of computing is a serious environmental concern and mitigating it is an important
technological challenge. Accurate measurement of energy consumption during an …
technological challenge. Accurate measurement of energy consumption during an …
Graphreduce: processing large-scale graphs on accelerator-based systems
Recent work on real-world graph analytics has sought to leverage the massive amount of
parallelism offered by GPU devices, but challenges remain due to the inherent irregularity of …
parallelism offered by GPU devices, but challenges remain due to the inherent irregularity of …
[HTML][HTML] A survey and measurement study of GPU DVFS on energy conservation
Energy efficiency has become one of the top design criteria for current computing systems.
The dynamic voltage and frequency scaling (DVFS) has been widely adopted by laptop …
The dynamic voltage and frequency scaling (DVFS) has been widely adopted by laptop …
PowerTrain: Fast, generalizable time and power prediction models to optimize DNN training on accelerated edges
Accelerated edge devices, like Nvidia's Jetson with 1000+ CUDA cores, are increasingly
used for DNN training and federated learning, rather than just for inferencing workloads. A …
used for DNN training and federated learning, rather than just for inferencing workloads. A …