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duf : Dynamic uncore frequency scaling to reduce power consumption
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1006/jcph.1995.1039openalex-snapshot
Fast Parallel Algorithms for Short-Range Molecular Dynamics
inferredcites →https://doi.org/10.1007/978-3-030-57675-2_5openalex-snapshot
Operation-Aware Power Capping
inferredcites →https://doi.org/10.1007/978-3-319-04519-1_1openalex-snapshot
Adding Virtualization Capabilities to the Grid’5000 Testbed
inferredcites →https://doi.org/10.1007/978-3-642-11261-4openalex-snapshot
Tools for High Performance Computing 2009
inferredcites →https://doi.org/10.1007/s00607-016-0532-7openalex-snapshot
The READEX formalism for automatic tuning for energy efficiency
inferredcites →https://doi.org/10.1016/j.cpc.2010.04.018openalex-snapshot
NWChem: A comprehensive and scalable open-source solution for large scale molecular simulations
inferredcites →https://doi.org/10.1109/hpca.2014.6835941openalex-snapshot
Up by their bootstraps: Online learning in Artificial Neural Networks for CMP uncore power management
inferredcites →https://doi.org/10.1109/hpcs48598.2019.9188112openalex-snapshot
Q-Learning Inspired Self-Tuning for Energy Efficiency in HPC
inferredcites →https://doi.org/10.1109/icppw.2010.38openalex-snapshot
LIKWID: A Lightweight Performance-Oriented Tool Suite for x86 Multicore Environments
inferredcites →https://doi.org/10.1177/109434209100500306openalex-snapshot
The NAS Parallel Benchmarks
inferredcites →https://doi.org/10.23919/springsim.2019.8732878openalex-snapshot
ML Guided Energy-Performance Trade-Off Estimation For Uncore Frequency Scaling
inferredcites →https://doi.org/10.4236/jcc.2018.612018openalex-snapshot
Core and Uncore Joint Frequency Scaling Strategy
inferredcites →https://doi.org/10.4236/jcc.2019.77021openalex-snapshot
Maximizing Performance under a Power Constraint on Modern Multicore Systems
inferredcites →https://doi.org/10.48550/arxiv.1104.4874openalex-snapshot
LIKWID: Lightweight Performance Tools
inferredcites →https://doi.org/10.5555/3213069.3213082openalex-snapshot
Comparisons of core and uncore frequency scaling modes in quantum chemistry application GAMESS
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1016/j.sysarc.2023.102848openalex-snapshot
Enabling memory access isolation in real-time cloud systems using Intel’s detection/regulation capabilities
inferred← citeshttps://doi.org/10.1109/cgo68049.2026.11395211openalex-snapshot
PolyUFC: Polyhedral Compilation Meets Roofline Analysis for Uncore Frequency Capping
inferred← citeshttps://doi.org/10.1109/cluster48925.2021.00089openalex-snapshot
Explicit uncore frequency scaling for energy optimisation policies with EAR in Intel architectures
inferred← citeshttps://doi.org/10.1109/cluster59578.2024.00026openalex-snapshot
FCUFS: Core-Level Frequency Tuning for Energy Optimization on Intel Processors
inferred← citeshttps://doi.org/10.1109/eucnc/6gsummit60053.2024.10597040openalex-snapshot
Uncore Frequency Tuning For Energy Efficiency in Mixed Priority Cloud Native Edge
inferred← citeshttps://doi.org/10.1109/netsoft70012.2026.11603473openalex-snapshot
Uncore Frequency De-Tuning for Power Efficient LLMs at Telco Edge
inferred← citeshttps://doi.org/10.1109/tnsm.2026.3716735openalex-snapshot
Power-Aware Uncore Frequency Scaling Based on Throughput Saturation
inferred← citeshttps://doi.org/10.1109/tpds.2020.3045983openalex-snapshot
Fine-grained Powercap Allocation for Power-constrained Systems based on Multi-objective Machine Learning
inferred← citeshttps://doi.org/10.1109/tpds.2021.3092270openalex-snapshot
Online Power Management for Multi-Cores: A Reinforcement Learning Based Approach
inferred← citeshttps://doi.org/10.1134/s1064226923060153openalex-snapshot
Increasing the Quality Indicators of the Functioning of Fuzzy Solvers at the Defuzzification Stage
inferred← citeshttps://doi.org/10.1145/3538645openalex-snapshot
PMU-Events-Driven DVFS Techniques for Improving Energy Efficiency of Modern Processors
inferred← citeshttps://doi.org/10.1145/3627345.3627350openalex-snapshot
Dynamic uncore frequency scaling based on performance events of Web applications
inferred← citeshttps://doi.org/10.1145/3712285.3759879openalex-snapshot
Minimizing Power Waste in Heterogenous Computing via Adaptive Uncore Scaling
inferred← citeshttps://doi.org/10.31857/s0033849423060153openalex-snapshot
Increasing the Quality Indicators of the Functioning of Fuzzy Solvers at the Defuzzification Stage
inferred← citeshttps://doi.org/10.4236/jcc.2020.812014openalex-snapshot
Distributed Strategy for Power Re-Allocation in High Performance Applications
inferred← citeshttps://doi.org/10.70675/47848f25z3115z4930z9a20z87c52ceab9c2openalex-snapshot
High Performance Computing : towards better Performance Predictions and Experiments
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