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Analyzing energy/performance trade-offs with power capping for parallel applications on modern multi and many core processors
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-14325-5_42openalex-snapshot
Statistical Validation Methodology of CPU Power Probes
inferredcites →https://doi.org/10.1007/978-3-319-19419-6_28openalex-snapshot
Mobile Offloading Framework: Solution for Optimizing Mobile Applications Using Cloud Computing
inferredcites →https://doi.org/10.1007/978-3-319-32152-3_19openalex-snapshot
Performance and Power-Aware Modeling of MPI Applications for Cluster Computing
inferredcites →https://doi.org/10.1007/978-3-319-67220-5_27openalex-snapshot
Parallelization of Selected Algorithms on Multi-core CPUs, a Cluster and in a Hybrid CPU+Xeon Phi Environment
inferredcites →https://doi.org/10.1007/978-81-322-3592-7_31openalex-snapshot
Categorization of Cloud Workload Types with Clustering
inferredcites →https://doi.org/10.1016/j.simpat.2017.05.009openalex-snapshot
MERPSYS: An environment for simulation of parallel application execution on large scale HPC systems
inferredcites →https://doi.org/10.1088/1742-6596/608/1/012032openalex-snapshot
Techniques and tools for measuring energy efficiency of scientific software applications
inferredcites →https://doi.org/10.1109/igcc.2016.7892618openalex-snapshot
PowerCap: Leverage Performance-Equivalent Resource Configurations for power capping
inferredcites →https://doi.org/10.1109/ipdps.2017.124openalex-snapshot
Co-Run Scheduling with Power Cap on Integrated CPU-GPU Systems
inferredcites →https://doi.org/10.1145/2834800.2834801openalex-snapshot
Early experiences with node-level power capping on the Cray XC40 platform
inferredcites →https://doi.org/10.1145/2872362.2872375openalex-snapshot
Maximizing Performance Under a Power Cap
inferredcites →https://doi.org/10.1145/2989081.2989088openalex-snapshot
A Validation of DRAM RAPL Power Measurements
inferredcites →https://doi.org/10.1177/1094342016665471openalex-snapshot
A survey on software methods to improve the energy efficiency of parallel computing
inferredcites →https://doi.org/10.15439/2016f308openalex-snapshot
Modeling energy consumption of parallel applications
inferredcites →https://doi.org/10.3390/en10101470openalex-snapshot
Trends in Data Centre Energy Consumption under the European Code of Conduct for Data Centre Energy Efficiency
inferredcites →https://doi.org/10.48550/arxiv.1501.02724openalex-snapshot
Towards Energy-Proportional Computing Using Subsystem-Level Power Management
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/9783527830008.ch4openalex-snapshot
Medium‐Temperature Applications
inferred← citeshttps://doi.org/10.1002/spe.3139openalex-snapshot
DEPO: A dynamic energy‐performance optimizer tool for automatic power capping for energy efficient high‐performance computing
inferred← citeshttps://doi.org/10.1007/978-3-030-43222-5_11openalex-snapshot
Performance/Energy Aware Optimization of Parallel Applications on GPUs Under Power Capping
inferred← citeshttps://doi.org/10.1007/978-3-030-47679-3_20openalex-snapshot
Benchmarking Deep Neural Network Training Using Multi- and Many-Core Processors
inferred← citeshttps://doi.org/10.1007/978-3-031-71115-2_23openalex-snapshot
Investigation of Performance and Energy Consumption of Tokenization Algorithms on Multi-core CPUs Under Power Capping
inferred← citeshttps://doi.org/10.1007/978-3-031-73716-9_26openalex-snapshot
Impact of Computational Load Balance and Power Capping on Energy Efficiency in HPC Centers
inferred← citeshttps://doi.org/10.1007/978-3-032-35251-4_10openalex-snapshot
Understanding Power Limiting Mechanisms in Modern Processors: A Deep Dive Into Intel RAPL and Turbo Boost Dynamics
inferred← citeshttps://doi.org/10.1007/s10951-020-00649-4openalex-snapshot
An approach to reduce energy consumption and performance losses on heterogeneous servers using power capping
inferred← citeshttps://doi.org/10.1007/s11227-025-07295-7openalex-snapshot
Optimization of resource-aware parallel and distributed computing: a review
inferred← citeshttps://doi.org/10.1007/s42835-023-01487-yopenalex-snapshot
Thermal Analysis of Teg’s in Electrical Vehicle for Seebeck Effect Using Ansys CFD
inferred← citeshttps://doi.org/10.1016/j.egyr.2019.12.011openalex-snapshot
A comprehensive review of Thermoelectric Generators: Technologies and common applications
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Thermoelectric generator (TEG) technologies and applications
inferred← citeshttps://doi.org/10.1109/hpcs48598.2019.9188149openalex-snapshot
Extended investigation of performance-energy trade-offs under power capping in HPC environments
inferred← citeshttps://doi.org/10.1109/icccnt51525.2021.9579960openalex-snapshot
Top-Down analysis based performance failure bucketing for Pre-Silicon simulation
inferred← citeshttps://doi.org/10.1109/smartworld-uic-atc-scalcom-iop-sci.2019.00088openalex-snapshot
Exploring Performance and Energy Consumption Differences between Recent Intel Processors
inferred← citeshttps://doi.org/10.15439/2023f3797openalex-snapshot
Towards an HPC cluster digital twin and scheduling framework for improved energy efficiency
inferred← citeshttps://doi.org/10.15439/2023f7822openalex-snapshot
Performance assessment of OpenMP constructs and benchmarks using modern compilers and multi-core CPUs
inferred← citeshttps://doi.org/10.15439/2025f0376openalex-snapshot
Slurm plugin for HPC operation with time-dependent cluster-wide power capping
inferred← citeshttps://doi.org/10.2174/0124054615356549250311164119openalex-snapshot
Advances in Carbon-Based Flexible Thermoelectric Materials: Challenges, Prospects, and Applications for Wearable Power Solutions
inferred← citeshttps://doi.org/10.2298/csis240722022copenalex-snapshot
Research on problem formulations in resource-aware problems across scientific domains and applications
inferred← citeshttps://doi.org/10.3390/app12168305openalex-snapshot
Performance Assessment of Using Docker for Selected MPI Applications in a Parallel Environment Based on Commodity Hardware
inferred← citeshttps://doi.org/10.3390/electronics10101188openalex-snapshot
Assessment of OpenMP Master–Slave Implementations for Selected Irregular Parallel Applications
inferred← citeshttps://doi.org/10.5753/sscad.2025.16760openalex-snapshot
Modelagem Preditiva de Energy-Delay Product para Otimização de Submissões em Supercomputadores
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