On the public citation graph
Adaptive, Transparent Frequency and Voltage Scaling of Communication Phases in MPI Programs
0 signed · 126 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known work and none has been retracted — and get a dated CiteStamped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/10.1007/11574859_10openalex-snapshot
Effective Dynamic Voltage Scaling Through CPU-Boundedness Detection
inferredcites →https://doi.org/10.1007/3-540-48158-3_5openalex-snapshot
Automatic Profiling of MPI Applications with Hardware Performance Counters
inferredcites →https://doi.org/10.1016/j.jpdc.2008.04.007openalex-snapshot
Just-in-time dynamic voltage scaling: Exploiting inter-node slack to save energy in MPI programs
inferredcites →https://doi.org/10.1109/hpca.2004.10021openalex-snapshot
Program Counter Based Techniques for Dynamic Power Management
inferredcites →https://doi.org/10.1109/hpca.2004.10022openalex-snapshot
Reducing Energy Consumption of Disk Storage Using Power-Aware Cache Management
inferredcites →https://doi.org/10.1109/ipdps.2005.214openalex-snapshot
Exploring the Energy-Time Tradeoff in MPI Programs on a Power-Scalable Cluster
inferredcites →https://doi.org/10.1109/mc.2003.1250880openalex-snapshot
Energy management for commercial servers
inferredcites →https://doi.org/10.1109/mcsa.2003.1240766openalex-snapshot
Energy efficiency through burstiness
inferredcites →https://doi.org/10.1109/micro.2003.1253197openalex-snapshot
Comparing program phase detection techniques
inferredcites →https://doi.org/10.1109/real.2003.1253254openalex-snapshot
Power-aware QoS management in Web servers
inferredcites →https://doi.org/10.1109/sc.2002.10017openalex-snapshot
An Overview of the BlueGene/L Supercomputer
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.2005.39openalex-snapshot
Just In Time Dynamic Voltage Scaling: Exploiting Inter-Node Slack to Save Energy in MPI Programs
inferredcites →https://doi.org/10.1109/sc.2005.57openalex-snapshot
Performance-constrained Distributed DVS Scheduling for Scientific Applications on Power-aware Clusters
inferredcites →https://doi.org/10.1145/1071690.1064231openalex-snapshot
The performance impact of kernel prefetching on buffer cache replacement algorithms
inferredcites →https://doi.org/10.1145/1122971.1123006openalex-snapshot
Minimizing execution time in MPI programs on an energy-constrained, power-scalable cluster
inferredcites →https://doi.org/10.1145/502059.502045openalex-snapshot
Managing energy and server resources in hosting centers
inferredcites →https://doi.org/10.1145/605397.605403openalex-snapshot
Automatically characterizing large scale program behavior
inferredcites →https://doi.org/10.1145/859618.859637openalex-snapshot
Positional adaptation of processors
inferredcites →https://doi.org/10.7282/t3-agfw-yt73openalex-snapshot
Load balancing and unbalancing for power and performance in cluster-based systems
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/9781118342015.ch16openalex-snapshot
Embracing the Memory and I/O Walls for Energy‐Efficient Scientific Computing
inferred← citeshttps://doi.org/10.1002/9781118342015.ch2openalex-snapshot
Power‐Aware High Performance Computing
inferred← citeshttps://doi.org/10.1002/9781118342015.ch3openalex-snapshot
Energy Efficiency in HPC Systems
inferred← citeshttps://doi.org/10.1002/9781118711897.ch18openalex-snapshot
Energy‐Aware Approaches for HPC Systems
inferred← citeshttps://doi.org/10.1002/cpe.2911openalex-snapshot
Achieving energy efficiency during collective communications
inferred← citeshttps://doi.org/10.1002/cpe.3312openalex-snapshot
A three step blind approach for improving high performance computing systems' energy performance
inferred← citeshttps://doi.org/10.1002/cpe.4684openalex-snapshot
Energy‐based tuning of metaheuristics for molecular docking on multi‐GPUs
inferred← citeshttps://doi.org/10.1002/sam.11339openalex-snapshot
Prediction and characterization of application power use in a high‐performance computing environment
inferred← citeshttps://doi.org/10.1002/spe.952openalex-snapshot
A survey of the research on power management techniques for high‐performance systems
inferred← citeshttps://doi.org/10.1007/978-3-030-15663-3_10openalex-snapshot
Modeling and Evaluation of Application-Aware Dynamic Thermal Control in HPC Nodes
inferred← citeshttps://doi.org/10.1007/978-3-030-43222-5_16openalex-snapshot
Evaluating the Advantage of Reactive MPI-aware Power Control Policies
inferred← citeshttps://doi.org/10.1007/978-3-319-49583-5_29openalex-snapshot
Feedback Control Optimization for Performance and Energy Efficiency on CPU-GPU Heterogeneous Systems
inferred← citeshttps://doi.org/10.1007/978-3-642-24449-0_22openalex-snapshot
Per-call Energy Saving Strategies in All-to-All Communications
inferred← citeshttps://doi.org/10.1007/978-3-642-30659-4_1openalex-snapshot
Evolutionary Green Computing Solutions for Distributed Cyber Physical Systems
inferred← citeshttps://doi.org/10.1007/978-3-642-33645-4_13openalex-snapshot
DNA-Inspired Scheme for Building the Energy Profile of HPC Systems
inferred← citeshttps://doi.org/10.1007/978-3-642-40517-4_15openalex-snapshot
A Three Step Blind Approach for Improving HPC Systems’ Energy Performance
inferred← citeshttps://doi.org/10.1007/s00450-010-0129-xopenalex-snapshot
Utilization driven power-aware parallel job scheduling
inferred← citeshttps://doi.org/10.1007/s10586-009-0077-zopenalex-snapshot
VPM tokens: virtual machine-aware power budgeting in datacenters
inferred← citeshttps://doi.org/10.1007/s11227-013-1062-0openalex-snapshot
Automatic runtime frequency-scaling system for energy savings in parallel applications
inferred← citeshttps://doi.org/10.1007/s11227-014-1320-9openalex-snapshot
Energy-efficient allocation of computing node slots in HPC clusters through parameter learning and hybrid genetic fuzzy system modeling
inferred← citeshttps://doi.org/10.1007/s11227-016-1680-4openalex-snapshot
Joint frequency scaling of processor and DRAM
inferred← citeshttps://doi.org/10.1007/s13369-015-1705-yopenalex-snapshot
Energy-Aware Workflow Scheduling in Grid Under QoS Constraints
inferred← citeshttps://doi.org/10.1016/b978-0-12-407725-6.00001-0openalex-snapshot
Energy-Aware High Performance Computing—A Survey
inferred← citeshttps://doi.org/10.1016/j.engappai.2015.10.003openalex-snapshot
Leveraging a predictive model of the workload for intelligent slot allocation schemes in energy-efficient HPC clusters
inferred← citeshttps://doi.org/10.1016/j.ifacol.2018.06.290openalex-snapshot
On-line Optimization of Power Efficiency in 3D Multicore Processors
inferred← citeshttps://doi.org/10.1016/j.jpdc.2012.01.006openalex-snapshot
Understanding the future of energy-performance trade-off via DVFS in HPC environments
inferred← citeshttps://doi.org/10.1016/j.jpdc.2013.03.006openalex-snapshot
Energy saving strategies for parallel applications with point-to-point communication phases
inferred← citeshttps://doi.org/10.1016/j.parco.2012.08.001openalex-snapshot
Parallel job scheduling for power constrained HPC systems
inferred← citeshttps://doi.org/10.1016/j.suscom.2017.12.002openalex-snapshot
Modeling of the CPU frequency to minimize energy consumption in parallel applications
inferred← citeshttps://doi.org/10.1109/ams.2008.80openalex-snapshot
Exploiting Energy Saving Opportunity of Barrier Operation in MPI Programs
inferred← citeshttps://doi.org/10.1109/ccgrid.2007.85openalex-snapshot
Power Aware Scheduling of Bag-of-Tasks Applications with Deadline Constraints on DVS-enabled Clusters
inferred← citeshttps://doi.org/10.1109/ccgrid.2009.88openalex-snapshot
Energy-Efficient Cluster Computing via Accurate Workload Characterization
inferred← citeshttps://doi.org/10.1109/ccgrid.2010.70openalex-snapshot
Runtime Energy Adaptation with Low-Impact Instrumented Code in a Power-Scalable Cluster System
inferred← citeshttps://doi.org/10.1109/ccgrid.2012.39openalex-snapshot
SERA-IO: Integrating Energy Consciousness into Parallel I/O Middleware
inferred← citeshttps://doi.org/10.1109/ccgrid.2015.169openalex-snapshot
Power-Check: An Energy-Efficient Checkpointing Framework for HPC Clusters
inferred← citeshttps://doi.org/10.1109/cluster.2013.6702681openalex-snapshot
A case of system-wide power management for scientific applications
inferred← citeshttps://doi.org/10.1109/cluster49012.2020.00067openalex-snapshot
Energy Optimization and Analysis with EAR
inferred← citeshttps://doi.org/10.1109/clustr.2007.4629224openalex-snapshot
A Feasibility Analysis of Power-Awareness and Energy Minimization in Modern Interconnects for High-Performance Computing
inferred← citeshttps://doi.org/10.1109/csc.2012.9openalex-snapshot
A Power-aware Job Scheduling Algorithm
inferred← citeshttps://doi.org/10.1109/e2sc.2016.011openalex-snapshot
Runtime Power Limiting of Parallel Applications on Intel Xeon Phi Processors
inferred← citeshttps://doi.org/10.1109/fuzz-ieee.2015.7338079openalex-snapshot
A software tool to efficiently manage the energy consumption of HPC clusters
inferred← citeshttps://doi.org/10.1109/greencom-ithings-cpscom.2013.43openalex-snapshot
A User Friendly Phase Detection Methodology for HPC Systems' Analysis
inferred← citeshttps://doi.org/10.1109/greencom-ithings-cpscom.2013.49openalex-snapshot
Energy-Efficient Scheduling for Multicore Systems with Bounded Resources
inferred← citeshttps://doi.org/10.1109/greencomp.2010.5598275openalex-snapshot
Energy aware scheduling for DAG structured applications on heterogeneous and DVS enabled processors
inferred← citeshttps://doi.org/10.1109/greencomp.2010.5598292openalex-snapshot
Energy efficiency in data centers and cloud-based multimedia services: An overview and future directions
inferred← citeshttps://doi.org/10.1109/greencomp.2010.5598303openalex-snapshot
Optimizing job performance under a given power constraint in HPC centers
inferred← citeshttps://doi.org/10.1109/hipc.2010.5713196openalex-snapshot
Investigating the potential of application-centric aggressive power management for HPC workloads
inferred← citeshttps://doi.org/10.1109/hoti.2015.16openalex-snapshot
Impact of InfiniBand DC Transport Protocol on Energy Consumption of All-to-All Collective Algorithms
inferred← citeshttps://doi.org/10.1109/hpca.2011.5749725openalex-snapshot
Power shifting in Thrifty Interconnection Network
inferred← citeshttps://doi.org/10.1109/hpcs.2018.00057openalex-snapshot
Workload-Aware Runtime Energy Management for HPC Systems
inferred← citeshttps://doi.org/10.1109/hpcsim.2011.5999809openalex-snapshot
Linear programming based parallel job scheduling for power constrained systems
inferred← citeshttps://doi.org/10.1109/ic3.2016.7880199openalex-snapshot
Temperature and energy aware scheduling of heterogeneous processors
inferred← citeshttps://doi.org/10.1109/icpads.2012.94openalex-snapshot
A Runtime Framework for Energy Efficient HPC Systems without a Priori Knowledge of Applications
inferred← citeshttps://doi.org/10.1109/icpads.2015.87openalex-snapshot
Self-Tuned Software-Managed Energy Reduction in InfiniBand Links
inferred← citeshttps://doi.org/10.1109/icpp.2010.78openalex-snapshot
Designing Power-Aware Collective Communication Algorithms for InfiniBand Clusters
inferred← citeshttps://doi.org/10.1109/icpp.2013.98openalex-snapshot
Effects of Dynamic Voltage and Frequency Scaling on a K20 GPU
inferred← citeshttps://doi.org/10.1109/icpp.2014.40openalex-snapshot
Software-Managed Power Reduction in Infiniband Links
inferred← citeshttps://doi.org/10.1109/icycs.2008.500openalex-snapshot
Low Power Optimization for MPI Collective Operations
inferred← citeshttps://doi.org/10.1109/igcc.2011.6008581openalex-snapshot
Managing hardware power saving modes for high performance computing
inferred← citeshttps://doi.org/10.1109/igcc.2014.7039158openalex-snapshot
FoREST-mn: Runtime DVFS beyond communication slack
inferred← citeshttps://doi.org/10.1109/igsc48788.2019.8957174openalex-snapshot
Fine-Grained Energy Efficiency Using Per-Core DVFS with an Adaptive Runtime System
inferred← citeshttps://doi.org/10.1109/igsc48788.2019.8957178openalex-snapshot
Naïve Bayesian based Temperature and Energy Aware Scheduling of Heterogeneous Processors
inferred← citeshttps://doi.org/10.1109/ipdps.2007.370538openalex-snapshot
Determining the Minimum Energy Consumption using Dynamic Voltage and Frequency Scaling
inferred← citeshttps://doi.org/10.1109/ipdps.2007.370539openalex-snapshot
Scaling and Packing on a Chip Multiprocessor
inferred← citeshttps://doi.org/10.1109/ipdps.2015.99openalex-snapshot
LUC: Limiting the Unintended Consequences of Power Scaling on Parallel Transaction-Oriented Workloads
inferred← citeshttps://doi.org/10.1109/ipdpsw.2010.5470913openalex-snapshot
BSLD threshold driven power management policy for HPC centers
inferred← citeshttps://doi.org/10.1109/ipdpsw.2014.91openalex-snapshot
Metrics for Evaluating Energy Saving Techniques for Resilient HPC Systems
inferred← citeshttps://doi.org/10.1109/ispass.2015.7095817openalex-snapshot
Analyzing communication models for distributed thread-collaborative processors in terms of energy and time
inferred← citeshttps://doi.org/10.1109/mascots.2014.55openalex-snapshot
How Processor Speedups Can Slow Down I/O Performance
inferred← citeshttps://doi.org/10.1109/pact.2011.19openalex-snapshot
Phase-Based Application-Driven Hierarchical Power Management on the Single-chip Cloud Computer
inferred← citeshttps://doi.org/10.1109/pgas.2015.11openalex-snapshot
Impact of Frequency Scaling on One Sided Remote Memory Accesses
inferred← citeshttps://doi.org/10.1109/sbac-pad.2012.20openalex-snapshot
Runtime Procedure for Energy Savings in Applications with Point-to-Point Communications
inferred← citeshttps://doi.org/10.1109/sbac-pad.2012.32openalex-snapshot
Beyond CPU Frequency Scaling for a Fine-grained Energy Control of HPC Systems
inferred← citeshttps://doi.org/10.1109/sbac-pad.2014.27openalex-snapshot
Analyzing Performance Improvements and Energy Savings in Infiniband Architecture using Network Compression
inferred← citeshttps://doi.org/10.1109/sc.2016.56openalex-snapshot
GreenLA: Green Linear Algebra Software for GPU-accelerated Heterogeneous Computing
inferred← citeshttps://doi.org/10.1109/sc.2018.00020openalex-snapshot
Energy Efficiency Modeling of Parallel Applications
inferred← citeshttps://doi.org/10.1109/scala.2014.7openalex-snapshot
TX: Algorithmic Energy Saving for Distributed Dense Matrix Factorizations
inferred← citeshttps://doi.org/10.1109/tc.2010.216openalex-snapshot
EAD and PEBD: Two Energy-Aware Duplication Scheduling Algorithms for Parallel Tasks on Homogeneous Clusters
inferred← citeshttps://doi.org/10.1109/tc.2020.2995269openalex-snapshot
COUNTDOWN: A Run-Time Library for Performance-Neutral Energy Saving in MPI Applications
inferred← citeshttps://doi.org/10.1109/tc.2026.3711149openalex-snapshot
Minimization of Execution Time and Energy Consumption of Parallel Applications on Heterogeneous Hybrid Parallel Computers Through Optimal Combination of Workload Distribution and Operating Voltage and Frequency
inferred← citeshttps://doi.org/10.1109/tpds.2014.2315203openalex-snapshot
Power-Aware Job Scheduling on Heterogeneous Multicore Architectures
inferred← citeshttps://doi.org/10.1109/tpds.2020.3000418openalex-snapshot
Countdown Slack: A Run-Time Library to Reduce Energy Footprint in Large-Scale MPI Applications
inferred← citeshttps://doi.org/10.1109/tpds.2021.3107745openalex-snapshot
Power Log’n’Roll: Power-Efficient Localized Rollback for MPI Applications Using Message Logging Protocols
inferred← citeshttps://doi.org/10.1109/vlsisoc.2010.5642672openalex-snapshot
Towards sustainable exascale computing
inferred← citeshttps://doi.org/10.1145/3712285.3759879openalex-snapshot
Minimizing Power Waste in Heterogenous Computing via Adaptive Uncore Scaling
inferred← citeshttps://doi.org/10.1177/1094342013495304openalex-snapshot
Energy efficiency in high-performance computing with and without knowledge of applications and services
inferred← citeshttps://doi.org/10.1177/1094342016665471openalex-snapshot
A survey on software methods to improve the energy efficiency of parallel computing
inferred← citeshttps://doi.org/10.1177/1094342018774405openalex-snapshot
Effect of frequency scaling granularity on energy-saving strategies
inferred← citeshttps://doi.org/10.1177/1094342018814593openalex-snapshot
Pricing schemes for energy-efficient HPC systems: Design and exploration
inferred← citeshttps://doi.org/10.1177/1094342019842915openalex-snapshot
Statistical and machine learning models for optimizing energy in parallel applications
inferred← citeshttps://doi.org/10.14257/ijgdc.2015.8.5.20openalex-snapshot
Energy Aware Scheduling based on Two-phase Frequency Scaling for Parallel Tasks in Cluster
inferred← citeshttps://doi.org/10.1587/transinf.e93.d.3194openalex-snapshot
SLA-Based Scheduling of Bag-of-Tasks Applications on Power-Aware Cluster Systems
inferred← citeshttps://doi.org/10.18130/v3tj7xopenalex-snapshot
Improving Resource Utilization in Heterogeneous CPU-GPU Systems
inferred← citeshttps://doi.org/10.2172/1226556openalex-snapshot
Automatic Energy Schemes for High Performance Applications
inferred← citeshttps://doi.org/10.2172/1235236openalex-snapshot
Analysis of Application Power and Schedule Composition in a High Performance Computing Environment
inferred← citeshttps://doi.org/10.22360/springsim.2016.hpc.044openalex-snapshot
Power Profiling and Evaluating the Effect of Frequency Scaling on NWChem
inferred← citeshttps://doi.org/10.22360/springsim.2019.hpc.011openalex-snapshot
Comparing Frequency Scaling Efficacy on Different Memory Technologies
inferred← citeshttps://doi.org/10.23919/springsim.2019.8732866openalex-snapshot
Comparing Frequency Scaling Efficacy on Different Memory Technologies
inferred← citeshttps://doi.org/10.3390/en12112129openalex-snapshot
Eco-Efficient Resource Management in HPC Clusters through Computer Intelligence Techniques
inferred← citeshttps://doi.org/10.3390/en9030197openalex-snapshot
Improving the Eco-Efficiency of High Performance Computing Clusters Using EECluster
inferred← citeshttps://doi.org/10.4236/jcc.2018.612018openalex-snapshot
Core and Uncore Joint Frequency Scaling Strategy
inferred← citeshttps://doi.org/10.5555/3018076.3018082openalex-snapshot
Runtime power limiting of parallel applications on Intel Xeon Phi processors
inferred← citeshttps://doi.org/10.5753/wscad.2016.14243openalex-snapshot
Eficiência Energética e Desempenho de E/S com Arquiteturas de Baixa Potência
inferred← citeshttps://doi.org/10.5821/dissertation-2117-94668openalex-snapshot
DVFS power management in HPC systems
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.