A survey on software methods to improve the energy efficiency of parallel computing
C Jin, BR de Supinski, D Abramson… - … Journal of High …, 2017 - journals.sagepub.com
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 …
supercomputing. Codesign of hardware and software is critical for improving energy …
Prediction of job characteristics for intelligent resource allocation in HPC systems: a survey and future directions
Z Hou, H Shen, X Zhou, J Gu, Y Wang… - Frontiers of Computer …, 2022 - Springer
Nowadays, high-performance computing (HPC) clusters are increasingly popular. Large
volumes of job logs recording many years of operation traces have been accumulated. In the …
volumes of job logs recording many years of operation traces have been accumulated. In the …
Scheduling parallel tasks with energy and time constraints on multiple manycore processors in a cloud computing environment
K Li - Future generation computer systems, 2018 - Elsevier
When multiple manycore processors in a data center for cloud computing are shared by a
large number parallel tasks simultaneously, we are facing the problem of allocating the …
large number parallel tasks simultaneously, we are facing the problem of allocating the …
Energy and power aware job scheduling and resource management: Global survey—initial analysis
This work describes the motivation and methodology of a first-of-its-kind global survey of
HPC centers actively employing Energy and Power Aware Scheduling and Resource …
HPC centers actively employing Energy and Power Aware Scheduling and Resource …
What does power consumption behavior of hpc jobs reveal?: Demystifying, quantifying, and predicting power consumption characteristics
T Patel, A Wagenhäuser, C Eibel… - 2020 IEEE …, 2020 - ieeexplore.ieee.org
As we approach exascale computing, large-scale HPC systems are becoming increasingly
power-constrained, requiring them to run HPC workloads in an energy-efficient manner. The …
power-constrained, requiring them to run HPC workloads in an energy-efficient manner. The …
Production hardware overprovisioning: Real-world performance optimization using an extensible power-aware resource management framework
Limited power budgets will be one of the biggest challenges for deploying future exascale
supercomputers. One of the promising ways to deal with this challenge is hardware over …
supercomputers. One of the promising ways to deal with this challenge is hardware over …
A scalable priority-aware approach to managing data center server power
Y Li, CR Lefurgy, K Rajamani… - … Symposium on High …, 2019 - ieeexplore.ieee.org
Power management is a key component of modern data center design. Power managers
must (1) ensure the costand energy-efficient utilization of the data center infrastructure,(2) …
must (1) ensure the costand energy-efficient utilization of the data center infrastructure,(2) …
Scheduling-based power capping in high performance computing systems
Supercomputer installed capacity worldwide increased for many years and further growth is
expected in the future. The next goal for high performance computing (HPC) systems is …
expected in the future. The next goal for high performance computing (HPC) systems is …
[PDF][PDF] The University of Chicago
K Zhang - United States, 2024 - knowledge.uchicago.edu
First and foremost, I extend my deepest gratitude to my advisor, Prof. Dacheng Xiu, who has
guided me since my master's studies. Dacheng has not only been an exceptional academic …
guided me since my master's studies. Dacheng has not only been an exceptional academic …
Demand-aware power management for power-constrained HPC systems
As limited power budget is becoming one of the most crucialchallenges in developing
supercomputer systems, hardware overprovisioning which installs larger number of nodes …
supercomputer systems, hardware overprovisioning which installs larger number of nodes …