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 …
Maximizing throughput of overprovisioned hpc data centers under a strict power budget
Building future generation supercomputers while constraining their power consumption is
one of the biggest challenges faced by the HPC community. For example, US Department of …
one of the biggest challenges faced by the HPC community. For example, US Department of …
Deeptheft: Stealing dnn model architectures through power side channel
Deep Neural Network (DNN) models are often deployed in resource-sharing clouds as
Machine Learning as a Service (MLaaS) to provide inference services. To steal model …
Machine Learning as a Service (MLaaS) to provide inference services. To steal model …
A run-time system for power-constrained HPC applications
As the HPC community attempts to reach exascale performance, power will be one of the
most critical constrained resources. Achieving practical exascale computing will therefore …
most critical constrained resources. Achieving practical exascale computing will therefore …
Practical resource management in power-constrained, high performance computing
T Patki, DK Lowenthal, A Sasidharan… - Proceedings of the 24th …, 2015 - dl.acm.org
Power management is one of the key research challenges on the path to exascale.
Supercomputers today are designed to be worst-case power provisioned, leading to two …
Supercomputers today are designed to be worst-case power provisioned, leading to two …
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 …
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 …
A runtime and non-intrusive approach to optimize edp by tuning threads and cpu frequency for openmp applications
J Schwarzrock, CC de Oliveira, M Ritt… - … on Parallel and …, 2020 - ieeexplore.ieee.org
Efficiently exploiting thread-level parallelism has been challenging. Many parallel
applications are not sufficiently balanced or CPU-bound to take advantage of the increasing …
applications are not sufficiently balanced or CPU-bound to take advantage of the increasing …
Infrastructure and api extensions for elastic execution of mpi applications
I Comprés, A Mo-Hellenbrand, M Gerndt… - Proceedings of the 23rd …, 2016 - dl.acm.org
Dynamic Processes support was added to MPI in version 2.0 of the standard. This feature of
MPI has not been widely used by application developers in part due to the performance cost …
MPI has not been widely used by application developers in part due to the performance cost …