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RAPL in Action

https://doi.org/10.1145/3177754
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What this work says

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

inferredcites →https://doi.org/10.1002/cpe.3188openalex-snapshot
Detailed and simultaneous power and performance analysis
inferredcites →https://doi.org/10.1007/s00450-016-0325-4openalex-snapshot
How much power does your server consume? Estimating wall socket power using RAPL measurements
inferredcites →https://doi.org/10.1016/j.suscom.2014.03.006openalex-snapshot
Assessing Power Monitoring Approaches for Energy and Power Analysis of Computers
inferredcites →https://doi.org/10.1016/j.suscom.2014.07.004openalex-snapshot
TProf: An energy profiler for task-parallel programs
inferredcites →https://doi.org/10.1016/s0168-9002(03)01368-8openalex-snapshot
Geant4—a simulation toolkit
inferredcites →https://doi.org/10.1109/ccgrid.2015.118openalex-snapshot
Energy Profiling Using IgProf
inferredcites →https://doi.org/10.1109/cgc.2012.113openalex-snapshot
Energy Footprint of Advanced Dense Numerical Linear Algebra Using Tile Algorithms on Multicore Architectures
inferredcites →https://doi.org/10.1109/cloud.2016.0091openalex-snapshot
Accuracy of Energy Model Calibration with IPMI
inferredcites →https://doi.org/10.1109/dasc.2011.87openalex-snapshot
A Measurement Study of Server Utilization in Public Clouds
inferredcites →https://doi.org/10.1109/icac.2016.45openalex-snapshot
Adaptive Power Profiling for Many-Core HPC Architectures
inferredcites →https://doi.org/10.1109/iceac.2011.6136703openalex-snapshot
Unified extensible firmware interface: An innovative approach to DRAM power control
inferredcites →https://doi.org/10.1109/icppw.2012.39openalex-snapshot
Measuring Energy and Power with PAPI
inferredcites →https://doi.org/10.1109/igcc.2015.7393710openalex-snapshot
Power measurements for compute nodes: Improving sampling rates, granularity and accuracy
inferredcites →https://doi.org/10.1109/ipdpsw.2015.70openalex-snapshot
An Energy Efficiency Feature Survey of the Intel Haswell Processor
inferredcites →https://doi.org/10.1109/ispass.2013.6557170openalex-snapshot
Power measurement techniques on standard compute nodes: A quantitative comparison
inferredcites →https://doi.org/10.1109/mascots.2016.49openalex-snapshot
Experimental Calibration and Validation of a Speed Scaling Simulator
inferredcites →https://doi.org/10.1109/tpds.2013.183openalex-snapshot
Power Consumption Estimation Models for Processors, Virtual Machines, and Servers
inferredcites →https://doi.org/10.1145/1837274.1837479openalex-snapshot
Performance and power modeling in a multi-programmed multi-core environment
inferredcites →https://doi.org/10.1145/1840845.1840883openalex-snapshot
RAPL
inferredcites →https://doi.org/10.1145/2425248.2425252openalex-snapshot
Measuring energy consumption for short code paths using RAPL
inferredcites →https://doi.org/10.1145/2464996.2465009openalex-snapshot
Exploring hardware overprovisioning in power-constrained, high performance computing
inferredcites →https://doi.org/10.1145/2479871.2479878openalex-snapshot
Towards energy-proportional computing for enterprise-class server workloads
inferredcites →https://doi.org/10.1145/2834800.2834807openalex-snapshot
Measurement and characterization of Haswell power and energy consumption
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/10.1198/jasa.2007.s188openalex-snapshot
Generalized Additive Models: An Introduction With R
inferredcites →https://doi.org/10.48550/arxiv.1501.02729openalex-snapshot
On the Energy Proportionality of Scale-Out Workloads
inferredcites →https://doi.org/10.48550/arxiv.1505.06539openalex-snapshot
Towards Modeling Energy Consumption of Xeon Phi

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.5124openalex-snapshot
Rapid and accurate energy models through calibration with IPMI and RAPL
inferred← citeshttps://doi.org/10.1002/cpe.6261openalex-snapshot
Thermal design power and vectorized instructions behavior
inferred← citeshttps://doi.org/10.1002/cpe.70565openalex-snapshot
A Multi‐Layered Analysis of Energy Consumption in Spark
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
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Energy Efficiency Evaluation of Distributed Systems
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Parallel Fully Vectorized Marsa-LFIB4: Algorithmic and Language-Based Optimization of Recursive Computations
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Automatic Software Tuning of Parallel Programs for Energy-Aware Executions
inferred← citeshttps://doi.org/10.1007/978-3-030-43229-4_9openalex-snapshot
Vectorized Parallel Solver for Tridiagonal Toeplitz Systems of Linear Equations
inferred← citeshttps://doi.org/10.1007/978-3-031-11513-4_5openalex-snapshot
Tales from the Code #2: A Detailed Assessment of Code Refactoring’s Impact on Energy Consumption
inferred← citeshttps://doi.org/10.1007/978-3-031-15074-6_14openalex-snapshot
The Impact of Dynamic Storage Allocation on CPython Execution Time, Memory Footprint and Energy Consumption: An Empirical Study
inferred← citeshttps://doi.org/10.1007/978-3-031-22941-1_40openalex-snapshot
System for Collecting Statistics on Power Consumption of Supercomputer Applications
inferred← citeshttps://doi.org/10.1007/978-3-031-35504-2_2openalex-snapshot
The Finger in the Power: How to Fingerprint PCs by Monitoring Their Power Consumption
inferred← citeshttps://doi.org/10.1007/978-3-031-46077-7_13openalex-snapshot
Reliable Basic Block Energy Accounting
inferred← citeshttps://doi.org/10.1007/978-3-031-57430-6_1openalex-snapshot
Energy Consumption of Evolutionary Algorithms in JavaScript
inferred← citeshttps://doi.org/10.1007/978-3-031-62076-8_6openalex-snapshot
Exploring the Energy Overhead of Reversible Programs Executed on Irreversible Hardware
inferred← citeshttps://doi.org/10.1007/978-3-031-63759-9_12openalex-snapshot
Energy Efficiency of Multithreaded WZ Factorization with the Use of OpenMP and OpenACC on CPU and GPU
inferred← citeshttps://doi.org/10.1007/978-3-031-69577-3_11openalex-snapshot
Light-Weight Prediction for Improving Energy Consumption in HPC Platforms
inferred← citeshttps://doi.org/10.1007/978-3-031-70245-7_14openalex-snapshot
On the Energy Consumption of CPython
inferred← citeshttps://doi.org/10.1007/978-3-031-90065-5_15openalex-snapshot
Measuring Energy Consumption of BBOB Fitness Functions
inferred← citeshttps://doi.org/10.1007/978-3-031-90200-0_36openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-031-97570-7_11openalex-snapshot
Time and Energy Consumption of Multithreaded Matrix Factorization Using Various Compilers Optimizations
inferred← citeshttps://doi.org/10.1007/978-3-031-99751-8_19openalex-snapshot
Energy-Aware Dynamic Adaptation of Runtime Systems
inferred← citeshttps://doi.org/10.1007/978-3-032-02406-0_23openalex-snapshot
Performance and Energy Comparison of Selected Web Request Processing Models for Reactive and Imperative Spring Based Implementations
inferred← citeshttps://doi.org/10.1007/978-3-032-08187-2_10openalex-snapshot
Sustainable Software Development: New Challenges for Programming, Language Design and Analysis
inferred← citeshttps://doi.org/10.1007/978-3-032-08462-0_8openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-032-08977-9_39openalex-snapshot
A Comprehensive Framework for Optimizing API Calls, CI/CD Pipelines, and Energy Testing
inferred← citeshttps://doi.org/10.1007/978-3-032-18268-5_17openalex-snapshot
xPUBench: Scalable and Energy-Efficient GPU and DPU-Accelerated Network Functions
inferred← citeshttps://doi.org/10.1007/978-3-032-22278-7_10openalex-snapshot
Energy-Driven Software Engineering: A Tutorial
inferred← citeshttps://doi.org/10.1007/978-3-032-22726-3_12openalex-snapshot
Evaluating Performance and Energy Efficiency of RISC-V and x86 Processors for Java Workloads
inferred← citeshttps://doi.org/10.1007/978-3-032-29254-4_21openalex-snapshot
A Comparative Study of Energy Prediction in ANN Using Machine Learning Regressors
inferred← citeshttps://doi.org/10.1007/978-3-032-30524-4_17openalex-snapshot
Trustworthy AI for Energy-Efficient HPC Under Prediction Errors and Uncertainty
inferred← citeshttps://doi.org/10.1007/978-3-032-34896-8_26openalex-snapshot
How Good Are Learned and Hybrid Join Order Strategies from Energy Perspective?
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/10.1007/978-3-032-35251-4_26openalex-snapshot
RAGNN: A Resource-Aware System for Graph Neural Network Training at Scale
inferred← citeshttps://doi.org/10.1007/978-981-16-7443-3_12openalex-snapshot
Evaluating Performance, Power and Energy of Deep Neural Networks on CPUs and GPUs
inferred← citeshttps://doi.org/10.1007/978-981-96-1542-1_19openalex-snapshot
Exploring RAPL as a Power Capping Leverage for Power-Constrained Infrastructures
inferred← citeshttps://doi.org/10.1007/978-981-96-1548-3_15openalex-snapshot
A Power Monitoring Framework of a Post-quantum Cryptography Web Server
inferred← citeshttps://doi.org/10.1007/978-981-97-6957-5_19openalex-snapshot
EdgeInsight: An Agent-Driven Framework for System Health Monitoring in Edge Computing Platforms
inferred← citeshttps://doi.org/10.1007/s00607-025-01469-0openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s00778-025-00937-5openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10586-020-03219-7openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10586-025-05712-3openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10664-025-10633-1openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10994-025-06891-1openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11227-026-08591-6openalex-snapshot
Feml: a feature enhancement and machine learning framework for HPC job power consumption prediction
inferred← citeshttps://doi.org/10.1007/s12243-025-01084-2openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s12650-024-01001-0openalex-snapshot
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Accelerating range minimum queries with ray tracing cores
inferred← citeshttps://doi.org/10.1016/j.jpdc.2019.12.004openalex-snapshot
Algorithmic and language-based optimization of Marsa-LFIB4 pseudorandom number generator using OpenMP, OpenACC and CUDA
inferred← citeshttps://doi.org/10.1016/j.jpdc.2023.01.005openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/cain66642.2025.00016openalex-snapshot
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LowCarb: Carbon-Aware Scheduling of Serverless Functions
inferred← citeshttps://doi.org/10.1109/hpcs48598.2019.9188149openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/hpcs48598.2019.9188170openalex-snapshot
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Deep-Learning Model Extraction Through Software-Based Power Side-Channel
inferred← citeshttps://doi.org/10.1109/iccais48893.2020.9096730openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icsa65012.2025.00018openalex-snapshot
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Energy and Complexity Profiling of DCVC-FM Under Encoding Parameter Variation
inferred← citeshttps://doi.org/10.1109/icsme52107.2021.00007openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icst62969.2025.10989001openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/ict4s55073.2022.00018openalex-snapshot
Energy cost and accuracy impact of k-anonymity
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Energy Cost and Machine Learning Accuracy Impact of k-Anonymisation and Synthetic Data Techniques
inferred← citeshttps://doi.org/10.1109/ict4s64576.2024.00022openalex-snapshot
Exploring the Impact of K-Anonymisation on the Energy Efficiency of Machine Learning Algorithms
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Evaluating the Energy Profile of Tasks Managed by Build Automation Tools in Continuous Integration Workflows: The Case of Apache Maven and Gradle
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Energy Aware Development of Neuromorphic Implantables: From Metrics to Action
inferred← citeshttps://doi.org/10.1109/icws62655.2024.00079openalex-snapshot
Anomaly Detection and Root Cause Analysis of Microservices Energy Consumption
inferred← citeshttps://doi.org/10.1109/ie54923.2022.9826760openalex-snapshot
PowerJoular and JoularJX: Multi-Platform Software Power Monitoring Tools
inferred← citeshttps://doi.org/10.1109/igarss55030.2025.11243955openalex-snapshot
Energy Monitoring for Earth Observation Big Data Processing: A Gap Analysis
inferred← citeshttps://doi.org/10.1109/igsc64514.2024.00018openalex-snapshot
Dirty Electrons: On the Carbon Intensity of Stored Energy
inferred← citeshttps://doi.org/10.1109/ipdps65963.2026.00113openalex-snapshot
WaterSplit: Coordinated On-Site and Off-Site Water Allocation For Sustainable Datacenter Cooling
inferred← citeshttps://doi.org/10.1109/isca59077.2024.00042openalex-snapshot
EcoFaaS: Rethinking the Design of Serverless Environments for Energy Efficiency
inferred← citeshttps://doi.org/10.1109/iscas56072.2025.11043487openalex-snapshot
PowerPrint: Harnessing Machine Learning for Accurate and Scalable Device Fingerprinting via Power Consumption
inferred← citeshttps://doi.org/10.1109/iscc61673.2024.10733710openalex-snapshot
Function profiling to support smart Serverless service deployment in the Cloud continuum
inferred← citeshttps://doi.org/10.1109/ispass64960.2025.00028openalex-snapshot
PowerSensor3: A Fast and Accurate Open Source Power Measurement Tool
inferred← citeshttps://doi.org/10.1109/ispass69572.2026.00030openalex-snapshot
A Heterogeneous Mapping of a Speech Neuroprosthesis Application
inferred← citeshttps://doi.org/10.1109/ispdc69862.2026.00010openalex-snapshot
A Dedicated CPU Core for MPI Progress: Towards Improved Overlap in Non-Blocking Two-Sided Communication
inferred← citeshttps://doi.org/10.1109/itherm45881.2020.9190371openalex-snapshot
Localized Pool Boiling and Condensation Experiments over Functional CPU: Optimizing the Overall Thermal Resistance via Different Heat Transfer Scenarios
inferred← citeshttps://doi.org/10.1109/itherm51669.2021.9503279openalex-snapshot
Two-Phase Immersion Cooling of Microprocessors with Electroplated Porous Heat Spreaders: Thermal Performance and Reliability
inferred← citeshttps://doi.org/10.1109/ivmem53963.2021.00013openalex-snapshot
The Efficiency of Hydrodynamic Code on Intel Xeon Scalable Architecture
inferred← citeshttps://doi.org/10.1109/jbhi.2025.3638367openalex-snapshot
Multi-Modal Encrypted Retrieval Method With Semantic Feature Fusion Towards Internet of Medical Things
inferred← citeshttps://doi.org/10.1109/jetcas.2023.3328857openalex-snapshot
Dynamic-HDC: A Two-Stage Dynamic Inference Framework for Brain-Inspired Hyperdimensional Computing
inferred← citeshttps://doi.org/10.1109/jetcas.2025.3533041openalex-snapshot
Do We Need 10 bits? Assessing HEVC Encoders for Energy-Efficient HDR Video Streaming
inferred← citeshttps://doi.org/10.1109/jiot.2023.3235360openalex-snapshot
Resource Utilization of Distributed Databases in Edge–Cloud Environment
inferred← citeshttps://doi.org/10.1109/lanman58293.2023.10189419openalex-snapshot
Going Dark: A Software “Light Switch” for Internet Servers
inferred← citeshttps://doi.org/10.1109/lanman61958.2024.10621896openalex-snapshot
Assessing the Energetical Cost of 5G Softwarization
inferred← citeshttps://doi.org/10.1109/lnet.2023.3262861openalex-snapshot
6G Enablers for Zero-Carbon Network Slices and Vertical Edge Services
inferred← citeshttps://doi.org/10.1109/mascots59514.2023.10387542openalex-snapshot
Advancing Cloud Sustainability: A Versatile Framework for Container Power Model Training
inferred← citeshttps://doi.org/10.1109/metroind4.0iot66048.2025.11122069openalex-snapshot
Evidentia: an Expandable Tool to Reliably Gather Green Metrics
inferred← citeshttps://doi.org/10.1109/mmsp61759.2024.10743858openalex-snapshot
Modeling the Energy Consumption of the HEVC Software Encoding Process Using Processor Events
inferred← citeshttps://doi.org/10.1109/msr66628.2025.00109openalex-snapshot
Language Models in Software Development Tasks: An Experimental Analysis of Energy and Accuracy
inferred← citeshttps://doi.org/10.1109/pcs56426.2022.10017999openalex-snapshot
Energy-Rate-Quality Tradeoffs of State-of-the-Art Video Codecs
inferred← citeshttps://doi.org/10.1109/pcs60826.2024.10566286openalex-snapshot
Comparative Study of Hardware and Software Power Measurements in Video Compression
inferred← citeshttps://doi.org/10.1109/pcs65673.2025.11417575openalex-snapshot
An Empirical Study of Reducing AV1 Decoder Complexity and Energy Consumption via Encoder Parameter Tuning
inferred← citeshttps://doi.org/10.1109/percomworkshops68308.2026.11585449openalex-snapshot
Towards Predictable Energy and Runtime Estimation for Vertically Scaled Edge AI Inference
inferred← citeshttps://doi.org/10.1109/qomex61742.2024.10598269openalex-snapshot
Towards Video Codec Performance Evaluation: A Rate-Energy-Distortion Perspective
inferred← citeshttps://doi.org/10.1109/saner-c67878.2026.00027openalex-snapshot
The Energy-Throughput Trade-Off in Lossless-Compressed Source Code Storage
inferred← citeshttps://doi.org/10.1109/saner-c67878.2026.00033openalex-snapshot
The Green Side of the Lua
inferred← citeshttps://doi.org/10.1109/saner60148.2024.00069openalex-snapshot
Understanding the Performance-Energy Tradeoffs of Object-Relational Mapping Frameworks
inferred← citeshttps://doi.org/10.1109/sbac-pad55451.2022.00031openalex-snapshot
Prof5: A RISC-V profiler tool
inferred← citeshttps://doi.org/10.1109/sbac-padw64858.2024.00014openalex-snapshot
A Flexible Operational Framework for Energy Profiling of Programs
inferred← citeshttps://doi.org/10.1109/sbcci69725.2026.11706806openalex-snapshot
Energy-Aware Tuning of Pthreads and OpenMP Applications for Asymmetric Multicore Architectures
inferred← citeshttps://doi.org/10.1109/sc41406.2024.00018openalex-snapshot
EcoLife: Carbon-Aware Serverless Function Scheduling for Sustainable Computing
inferred← citeshttps://doi.org/10.1109/seed55351.2022.00016openalex-snapshot
Foreseer: Efficiently Forecasting Malware Event Series with Long Short-Term Memory
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/10.1109/sp40001.2021.00063openalex-snapshot
PLATYPUS: Software-based Power Side-Channel Attacks on x86
inferred← citeshttps://doi.org/10.1109/spacecomp.2019.00005openalex-snapshot
Exploration of Energy Consumption Using the Intel Running Average Power Limit Interface
inferred← citeshttps://doi.org/10.1109/swc50871.2021.00032openalex-snapshot
Can Learning-Based Hybrid DVFS Technique Adapt to Different Linux Embedded Platforms?
inferred← citeshttps://doi.org/10.1109/tc.2025.3571495openalex-snapshot
A Framework for Carbon-Aware Real-Time Workload Management in Clouds Using Renewables-Driven Cores
inferred← citeshttps://doi.org/10.1109/tc.2026.3688914openalex-snapshot
Classifying Performance Variations Across Server SKUs: Strategies for Optimizing Data Center Efficiency
inferred← citeshttps://doi.org/10.1109/tcsi.2019.2903978openalex-snapshot
Quality and Energy-Aware HEVC Transrating Based on Machine Learning
inferred← citeshttps://doi.org/10.1109/tdsc.2023.3314710openalex-snapshot
-Knife: Extracting Neural Network Architecture Through Software-Based Power Side-Channel
inferred← citeshttps://doi.org/10.1109/tgcn.2026.3660816openalex-snapshot
Investigating the Potential of Kepler Toward Power Observability for Sustainable Cloud Computing
inferred← citeshttps://doi.org/10.1109/tifs.2023.3272748openalex-snapshot
MAD-EN: Microarchitectural Attack Detection Through System-Wide Energy Consumption
inferred← citeshttps://doi.org/10.1109/tmc.2024.3411788openalex-snapshot
MIMO-SoftiPHY: A Software-Based PHY Design and Implementation Framework for Highly-Efficient Open-RAN MIMO Radios
inferred← citeshttps://doi.org/10.1109/tmc.2026.3677179openalex-snapshot
LEVEL: Leveraging RAN-Core Convergence for the Private Wireless User Plane
inferred← citeshttps://doi.org/10.1109/tnet.2022.3208799openalex-snapshot
Metronome: Adaptive and Precise Intermittent Packet Retrieval in DPDK
inferred← citeshttps://doi.org/10.1109/tpds.2020.2996314openalex-snapshot
Correlation of Performance Optimizations and Energy Consumption for Stencil-Based Application on Intel Xeon Scalable Processors
inferred← citeshttps://doi.org/10.1109/tpds.2020.3011893openalex-snapshot
GPU Tensor Cores for Fast Arithmetic Reductions
inferred← citeshttps://doi.org/10.1109/tpds.2024.3492336openalex-snapshot
Dissecting the Software-Based Measurement of CPU Energy Consumption: A Comparative Analysis
inferred← citeshttps://doi.org/10.1109/tpds.2025.3586723openalex-snapshot
Scheduling With Lightweight Predictions in Power-Constrained HPC Platforms
inferred← citeshttps://doi.org/10.1109/tse.2025.3574328openalex-snapshot
SQLaw: Detecting Bugs in GPU Database Management Systems via Rule-Based Differential Execution
inferred← citeshttps://doi.org/10.1109/tsg.2023.3307679openalex-snapshot
A Federated Byzantine Agreement Model to Operate Offline Electric Vehicle Supply Equipment
inferred← citeshttps://doi.org/10.1109/tsusc.2021.3058588openalex-snapshot
Exploiting the Solar Energy Surplus for Edge Computing
inferred← citeshttps://doi.org/10.1109/tsusc.2026.3695348openalex-snapshot
ITD-Aware CPU Power Modeling to Identify Peak-Efficiency Thermal Regions for Sustainable Data Center Operation
inferred← citeshttps://doi.org/10.1109/wsc48552.2020.9384117openalex-snapshot
Energy Efficiency Evaluation of Parallel Execution of DEVS Models in Multicore Architectures
inferred← citeshttps://doi.org/10.1134/s1995080223120211openalex-snapshot
Impact of Parallel Code Optimization on Computer Power Consumption
inferred← citeshttps://doi.org/10.1145/3302424.3303981openalex-snapshot
Per-Application Power Delivery
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/10.1145/3358960.3379142openalex-snapshot
Taming Energy Consumption Variations In Systems Benchmarking
inferred← citeshttps://doi.org/10.1145/3382494.3410678openalex-snapshot
On Reducing the Energy Consumption of Software
inferred← citeshttps://doi.org/10.1145/3433210.3437517openalex-snapshot
Red Alert for Power Leakage: Exploiting Intel RAPL-Induced Side Channels
inferred← citeshttps://doi.org/10.1145/3475716.3475774openalex-snapshot
Evaluating the Impact of Java Virtual Machines on Energy Consumption
inferred← citeshttps://doi.org/10.1145/3510003.3510221openalex-snapshot
Green AI
inferred← citeshttps://doi.org/10.1145/3510422openalex-snapshot
ERASE: Energy Efficient Task Mapping and Resource Management for Work Stealing Runtimes
inferred← citeshttps://doi.org/10.1145/3524129openalex-snapshot
PowerMorph: QoS-Aware Server Power Reshaping for Data Center Regulation Service
inferred← citeshttps://doi.org/10.1145/3581784.3607084openalex-snapshot
Structural Coding: A Low-Cost Scheme to Protect CNNs from Large-Granularity Memory Faults
inferred← citeshttps://doi.org/10.1145/3581784.3607091openalex-snapshot
DPS: Adaptive Power Management for Overprovisioned Systems
inferred← citeshttps://doi.org/10.1145/3589327openalex-snapshot
Hamming Tree: The Case for Energy-Aware Indexing for NVMs
inferred← citeshttps://doi.org/10.1145/3604930.3605716openalex-snapshot
EnergAt: Fine-Grained Energy Attribution for Multi-Tenancy
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