Energy‐aware high‐performance computing: survey of state‐of‐the‐art tools, techniques, and environments
The paper presents state of the art of energy‐aware high‐performance computing (HPC), in
particular identification and classification of approaches by system and device types …
particular identification and classification of approaches by system and device types …
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 …
Analyzing and mitigating the impact of manufacturing variability in power-constrained supercomputing
A key challenge in next-generation supercomputing is to effectively schedule limited power
resources. Modern processors suffer from increasingly large power variations due to the …
resources. Modern processors suffer from increasingly large power variations due to the …
Power tuning HPC jobs on power-constrained systems
As we approach the exascale era, power has become a primary bottleneck. The US
Department of Energy has set a power constraint of 20MW on each exascale machine. To …
Department of Energy has set a power constraint of 20MW on each exascale machine. To …
CEDR: A compiler-integrated, extensible DSSoC runtime
In this work, we present a C ompiler-integrated, E xtensible D omain Specific System on
Chip R untime (CEDR) ecosystem to facilitate research toward addressing the challenges of …
Chip R untime (CEDR) ecosystem to facilitate research toward addressing the challenges of …
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-efficient application resource scheduling using machine learning classifiers
Resource scheduling in high performance computing (HPC) usually aims to minimize
application runtime rather than optimize for energy efficiency. Most existing research on …
application runtime rather than optimize for energy efficiency. Most existing research on …
Job scheduling in high performance computing
Y Fan - arXiv preprint arXiv:2109.09269, 2021 - arxiv.org
The ever-growing processing power of supercomputers in recent decades enables us to
explore increasing complex scientific problems. Effective scheduling these jobs is crucial for …
explore increasing complex scientific problems. Effective scheduling these jobs is crucial for …
Dynamic power sharing for higher job throughput
DA Ellsworth, AD Malony, B Rountree… - Proceedings of the …, 2015 - dl.acm.org
Current trends for high-performance systems are leading towards hardware
overprovisioning where it is no longer possible to run all components at peak power without …
overprovisioning where it is no longer possible to run all components at peak power without …
Uncore power scavenger: A runtime for uncore power conservation on hpc systems
The US Department of Energy (DOE) has set a power target of 20-30MW on the first
exascale machines. To achieve one exaflop under this power constraint, it is necessary to …
exascale machines. To achieve one exaflop under this power constraint, it is necessary to …