On the public citation graph
Standardizing Power Monitoring and Control at Exascale
0 signed · 55 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-17473-0_16openalex-snapshot
Evaluation of Automatic Power Reduction with OSCAR Compiler on Intel Haswell and ARM Cortex-A9 Multicores
inferredcites →https://doi.org/10.1109/cluster.2015.121openalex-snapshot
WattProf: A Flexible Platform for Fine-Grained HPC Power Profiling
inferredcites →https://doi.org/10.1109/igcc.2013.6604485openalex-snapshot
PowerInsight - A commodity power measurement capability
inferredcites →https://doi.org/10.1109/ipdpsw.2016.172openalex-snapshot
Overcoming Challenges in Scalable Power Monitoring with the Power API
inferredcites →https://doi.org/10.1109/pdp.2010.67openalex-snapshot
hwloc: A Generic Framework for Managing Hardware Affinities in HPC Applications
inferredcites →https://doi.org/10.1109/sc.2014.18openalex-snapshot
The Lightweight Distributed Metric Service: A Scalable Infrastructure for Continuous Monitoring of Large Scale Computing Systems and Applications
inferredcites →https://doi.org/10.1109/secon.2010.5453824openalex-snapshot
PowerMon: Fine-grained and integrated power monitoring for commodity computer systems
inferredcites →https://doi.org/10.1109/tpds.2009.76openalex-snapshot
PowerPack: Energy Profiling and Analysis of High-Performance Systems and Applications
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/10.2172/1331358openalex-snapshot
High Performance Computing - Power Application Programming Interface Specification Version 1.4
inferredcites →https://doi.org/10.2172/1347187openalex-snapshot
High Performance Computing - Power Application Programming Interface Specification Version 2.0.
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/cpe.6512openalex-snapshot
Execution‐Cache‐Memory modeling and performance tuning of sparse matrix‐vector multiplication and Lattice quantum chromodynamics on A64FX
inferred← citeshttps://doi.org/10.1002/cpe.7303openalex-snapshot
Enabling power measurement and control on Astra: The first petascale Arm supercomputer
inferred← citeshttps://doi.org/10.1002/cpe.8322openalex-snapshot
ytopt: Autotuning Scientific Applications for Energy Efficiency at Large Scales
inferred← citeshttps://doi.org/10.1007/978-3-030-63393-6_27openalex-snapshot
ALAMO: Autonomous Lightweight Allocation, Management, and Optimization
inferred← citeshttps://doi.org/10.1007/978-3-031-36024-4_30openalex-snapshot
Dynamic Core Binding for Load Balancing of Applications Parallelized with MPI/OpenMP
inferred← citeshttps://doi.org/10.1007/978-3-032-07612-0_21openalex-snapshot
Analysis of Application Power Characteristics Using Performance Counters on A64FX
inferred← citeshttps://doi.org/10.1007/s11227-019-02911-9openalex-snapshot
The survey on ARM processors for HPC
inferred← citeshttps://doi.org/10.1007/s11227-024-06113-wopenalex-snapshot
Simulating stellar merger using HPX/Kokkos on A64FX on Supercomputer Fugaku
inferred← citeshttps://doi.org/10.1016/j.suscom.2018.11.005openalex-snapshot
Small scale to extreme: Methods for characterizing energy efficiency in supercomputing applications
inferred← citeshttps://doi.org/10.1016/j.suscom.2022.100702openalex-snapshot
APE: Metrics for understanding application performance efficiency under power caps
inferred← citeshttps://doi.org/10.1109/cluster48925.2021.00088openalex-snapshot
Evaluation of SPEC CPU and SPEC OMP on the A64FX
inferred← citeshttps://doi.org/10.1109/cluster48925.2021.00107openalex-snapshot
Early Evaluation of Fugaku A64FX Architecture Using Climate Workloads
inferred← citeshttps://doi.org/10.1109/cluster49012.2020.00068openalex-snapshot
Toward an End-to-End Auto-tuning Framework in HPC PowerStack
inferred← citeshttps://doi.org/10.1109/clusterworkshops61563.2024.00018openalex-snapshot
Power-Efficiency Variation on A64FX Supercomputers and its Application to System Operation
inferred← citeshttps://doi.org/10.1109/hpcs.2017.11openalex-snapshot
Power Aware High Performance Computing: Challenges and Opportunities for Application and System Developers — Survey & Tutorial
inferred← citeshttps://doi.org/10.1109/igcc.2017.8323587openalex-snapshot
Evaluating energy and power profiling techniques for HPC workloads
inferred← citeshttps://doi.org/10.1109/ipdpsw.2017.22openalex-snapshot
Design of an Energy Aware Petaflops Class High Performance Cluster Based on Power Architecture
inferred← citeshttps://doi.org/10.1109/ipdpsw59300.2023.00116openalex-snapshot
Simulating Stellar Merger using HPX/Kokkos on A64FX on Supercomputer Fugaku
inferred← citeshttps://doi.org/10.1109/ispass64960.2025.00019openalex-snapshot
FinGraV: Methodology for Fine-Grain GPU Power Visibility and Insights
inferred← citeshttps://doi.org/10.1109/sc41405.2020.00051openalex-snapshot
Co-Design for A64FX Manycore Processor and ”Fugaku”
inferred← citeshttps://doi.org/10.1109/sc41406.2024.00030openalex-snapshot
Toward Sustainable HPC: In-Production Deployment of Incentive-Based Power Efficiency Mechanism on the Fugaku Supercomputer
inferred← citeshttps://doi.org/10.1109/scw63240.2024.00207openalex-snapshot
Preparing for HPC on RISC-V: Examining Vectorization and Distributed Performance of an Astrophysics Application with HPX and Kokkos
inferred← citeshttps://doi.org/10.1145/3440722.3440881openalex-snapshot
A Comparison of Parallel Profiling Tools for Programs utilizing the FFT
inferred← citeshttps://doi.org/10.1145/3508397.3564826openalex-snapshot
Towards Anomaly Detection for Monitoring Power Consumption in HPC Facilities
inferred← citeshttps://doi.org/10.1145/3624062.3624230openalex-snapshot
Evaluating HPX and Kokkos on RISC-V using an astrophysics application Octo-Tiger
inferred← citeshttps://doi.org/10.1145/3635035.3635048openalex-snapshot
Analysis Towards Energy-Aware Image-based In Situ Visualization on the Fugaku
inferred← citeshttps://doi.org/10.1145/3636480.3637221openalex-snapshot
Optimize Efficiency of Utilizing Systems by Dynamic Core Binding
inferred← citeshttps://doi.org/10.1145/3721145.3734532openalex-snapshot
A Global Perspective on Supercomputer Power Provisioning: Case Studies from United States and Europe
inferred← citeshttps://doi.org/10.1145/3784828.3785159openalex-snapshot
Providing Thermal Stability for an Exascale Supercomputer: A Case Study of Frontier’s Cooling System
inferred← citeshttps://doi.org/10.1177/10943420251362635openalex-snapshot
Understanding power and energy utilization in large scale production physics simulation codes
inferred← citeshttps://doi.org/10.14529/cmse190305openalex-snapshot
Development Trends of Modern Supercomputers
inferred← citeshttps://doi.org/10.1587/transele.2022lhp0001openalex-snapshot
Evaluation of Performance and Power Consumption on Supercomputer Fugaku Using SPEC HPC Benchmarks
inferred← citeshttps://doi.org/10.3390/jlpea15010010openalex-snapshot
The REGALE Library: A DDS Interoperability Layer for the HPC PowerStack
inferred← citeshttps://doi.org/10.5194/gmd-16-6211-2023openalex-snapshot
Overcoming computational challenges to realize meter- to submeter-scale resolution in cloud simulations using the super-droplet method
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.