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Demand-Aware Power Management for Power-Constrained HPC Systems

https://doi.org/10.1109/ccgrid.2016.25

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-07518-1_25openalex-snapshot

A Case Study of Energy Aware Scheduling on SuperMUC

inferredcites →https://doi.org/10.1007/978-3-319-20119-1_28openalex-snapshot

A Run-Time System for Power-Constrained HPC Applications

inferredcites →https://doi.org/10.1007/s00450-010-0125-1openalex-snapshot

Adaptive estimation and prediction of power and performance in high performance computing

inferredcites →https://doi.org/10.1016/j.future.2013.07.010openalex-snapshot

Exploiting performance counters to predict and improve energy performance of HPC systems

inferredcites →https://doi.org/10.1016/j.parco.2012.08.001openalex-snapshot

Parallel job scheduling for power constrained HPC systems

inferredcites →https://doi.org/10.1109/cluster.2013.6702684openalex-snapshot

Optimizing power allocation to CPU and memory subsystems in overprovisioned HPC systems

inferredcites →https://doi.org/10.1109/clustr.2007.4629218openalex-snapshot

Evaluating the EASY-backfill job scheduling of static workloads on clusters

inferredcites →https://doi.org/10.1109/e2sc.2014.8openalex-snapshot

Simple Power-Aware Scheduler to Limit Power Consumption by HPC System within a Budget

inferredcites →https://doi.org/10.1109/hpcsim.2015.7237023openalex-snapshot

Power variation aware Configuration Adviser for scalable HPC schedulers

inferredcites →https://doi.org/10.1109/ipdps.2005.346openalex-snapshot

Power and Energy Profiling of Scientific Applications on Distributed Systems

inferredcites →https://doi.org/10.1109/ipdpsw.2012.116openalex-snapshot

Beyond DVFS: A First Look at Performance under a Hardware-Enforced Power Bound

inferredcites →https://doi.org/10.1109/sc.2005.3openalex-snapshot

A Power-Aware Run-Time System for High-Performance Computing

inferredcites →https://doi.org/10.1109/sc.2014.71openalex-snapshot

Maximizing Throughput of Overprovisioned HPC Data Centers Under a Strict Power Budget

inferredcites →https://doi.org/10.1145/2464996.2465009openalex-snapshot

Exploring hardware overprovisioning in power-constrained, high performance computing

inferredcites →https://doi.org/10.1145/2749246.2749262openalex-snapshot

Practical Resource Management in Power-Constrained, High Performance Computing

inferredcites →https://doi.org/10.1145/2807591.2807638openalex-snapshot

Analyzing and mitigating the impact of manufacturing variability in power-constrained supercomputing

inferredcites →https://doi.org/10.1145/2807591.2807643openalex-snapshot

Dynamic power sharing for higher job throughput

inferredcites →https://doi.org/10.1177/1094342009106193openalex-snapshot

Energy Profiling and Analysis of the HPC Challenge Benchmarks

inferredcites →https://doi.org/10.5860/choice.49-5712openalex-snapshot

Distributed and cloud computing: from parallel processing to the Internet of things

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Footprint-Aware Power Capping for Hybrid Memory Based Systems

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Orchestrated Co-scheduling, Resource Partitioning, and Power Capping on CPU-GPU Heterogeneous Systems via Machine Learning

inferred← citeshttps://doi.org/10.1007/978-3-319-69953-0_12openalex-snapshot

A Power Management Framework with Simple DSL for Automatic Power-Performance Optimization on Power-Constrained HPC Systems

inferred← citeshttps://doi.org/10.1007/978-981-13-1924-2_13openalex-snapshot

Power Management Framework for Post-petascale Supercomputers

inferred← citeshttps://doi.org/10.1007/s10586-023-04105-8openalex-snapshot

pHPCe: a hybrid power conservation approach for containerized HPC environment

inferred← citeshttps://doi.org/10.1016/j.parco.2020.102686openalex-snapshot

Dynamic power management for value-oriented schedulers in power-constrained HPC system

inferred← citeshttps://doi.org/10.1016/j.suscom.2020.100412openalex-snapshot

PowerCoord: Power capping coordination for multi-CPU/GPU servers using reinforcement learning

inferred← citeshttps://doi.org/10.1109/access.2020.2994953openalex-snapshot

Accurate Energy Modelling of Hybrid Parallel Applications on Modern Heterogeneous Computing Platforms Using System-Level Measurements

inferred← citeshttps://doi.org/10.1109/candarw53999.2021.00023openalex-snapshot

Mitigating Process Variations with Cooperative Tuning for Performance and Power through a Simple DSL

inferred← citeshttps://doi.org/10.1109/coolchips68842.2026.11556967openalex-snapshot

Strategic Job Deferral: Turning Process Variations into Power Savings

inferred← citeshttps://doi.org/10.1109/csci49370.2019.00277openalex-snapshot

Thermal-Aware Power Capping Allocation Model for High Performance Computing Systems

inferred← citeshttps://doi.org/10.1109/e2sc.2016.009openalex-snapshot

A Unified Platform for Exploring Power Management Strategies

inferred← citeshttps://doi.org/10.1109/iccac.2017.19openalex-snapshot

Value Based Scheduling for Oversubscribed Power-Constrained Homogeneous HPC Systems

inferred← citeshttps://doi.org/10.1109/igcc.2018.8752132openalex-snapshot

PowerCoord: A Coordinated Power Capping Controller for Multi-CPU/GPU Servers

inferred← citeshttps://doi.org/10.1109/ipdps.2017.107openalex-snapshot

Production Hardware Overprovisioning: Real-World Performance Optimization Using an Extensible Power-Aware Resource Management Framework

inferred← citeshttps://doi.org/10.1109/ipdps.2017.19openalex-snapshot

Cooling-Aware Job Scheduling and Node Allocation for Overprovisioned HPC Systems

inferred← citeshttps://doi.org/10.1109/ipdps.2018.00062openalex-snapshot

Analyzing Resource Trade-offs in Hardware Overprovisioned Supercomputers

inferred← citeshttps://doi.org/10.1109/ipdps47924.2020.00087openalex-snapshot

What does Power Consumption Behavior of HPC Jobs Reveal? : Demystifying, Quantifying, and Predicting Power Consumption Characteristics

inferred← citeshttps://doi.org/10.1109/mascots.2017.25openalex-snapshot

An Energy Efficient Demand-Response Model for High Performance Computing Systems

inferred← citeshttps://doi.org/10.1109/tpds.2025.3577252openalex-snapshot

VAHRM: Variation-Aware Resource Management in Heterogeneous Supercomputing Systems

inferred← citeshttps://doi.org/10.1145/3330345.3330372openalex-snapshot

Power efficient job scheduling by predicting the impact of processor manufacturing variability

inferred← citeshttps://doi.org/10.1145/3384441.3395991openalex-snapshot

Simulation of Auction Mechanism Model for Energy-Efficient High Performance Computing

inferred← citeshttps://doi.org/10.1145/3600061.3603129openalex-snapshot

Extendable MQTT Broker for Feedback-based Resource Management in Large-scale Computing Environments

inferred← citeshttps://doi.org/10.1145/3784828.3785162openalex-snapshot

Quantifying the Economic Potential of Energy-Aware Scheduling in HPC

inferred← citeshttps://doi.org/10.1587/transele.2020lhp0005openalex-snapshot

Efficient and Precise Profiling, Modeling and Management on Power and Performance for Power Constrained HPC Systems

inferred← citeshttps://doi.org/10.25148/etd.fidc006527openalex-snapshot

Energy Demand Response for High-Performance Computing Systems

inferred← citeshttps://doi.org/10.26300/4v6e-nq69openalex-snapshot

Improving the Performance of Power Constrained Computing Clusters

inferred← citeshttps://doi.org/10.3390/en13153944openalex-snapshot

A Novel Statistical Learning-Based Methodology for Measuring the Goodness of Energy Profiles of Applications Executing on Multicore Computing Platforms

inferred← citeshttps://doi.org/10.5555/3018076.3018080openalex-snapshot

A unified platform for exploring power management strategies

inferred← citeshttps://doi.org/10.5821/dissertation-2117-134618openalex-snapshot

Towards resource-aware computing for task-based runtimes and parallel architectures

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