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Investigating power capping toward energy‐efficient scientific applications
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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.1553openalex-snapshot
HPCT OOLKIT : tools for performance analysis of optimized parallel programs
inferredcites →https://doi.org/10.1002/cpe.1556openalex-snapshot
The Scalasca performance toolset architecture
inferredcites →https://doi.org/10.1007/978-3-319-39589-0_4openalex-snapshot
Power Management and Event Verification in PAPI
inferredcites →https://doi.org/10.1007/978-3-319-58667-0_21openalex-snapshot
Global Extensible Open Power Manager: A Vehicle for HPC Community Collaboration on Co-Designed Energy Management Solutions
inferredcites →https://doi.org/10.1007/978-3-642-38750-0_16openalex-snapshot
Beyond the CPU: Hardware Performance Counter Monitoring on Blue Gene/Q
inferredcites →https://doi.org/10.1007/s00607-016-0532-7openalex-snapshot
The READEX formalism for automatic tuning for energy efficiency
inferredcites →https://doi.org/10.1016/b978-0-444-88712-2.50001-9openalex-snapshot
Advances in Parallel Computing
inferredcites →https://doi.org/10.1109/cluster.2014.6968672openalex-snapshot
Power monitoring with PAPI for extreme scale architectures and dataflow-based programming models
inferredcites →https://doi.org/10.1109/clustr.2006.311839openalex-snapshot
Emprical study on Reducing Energy of Parallel Programs using Slack Reclamation by DVFS in a Power-scalable High Performance Cluster
inferredcites →https://doi.org/10.1109/cse.2015.55openalex-snapshot
Run-Time Exploitation of Application Dynamism for Energy-Efficient Exascale Computing (READEX)
inferredcites →https://doi.org/10.1109/icpp.2011.71openalex-snapshot
Parallel Performance Measurement of Heterogeneous Parallel Systems with GPUs
inferredcites →https://doi.org/10.1109/icppw.2012.29openalex-snapshot
PAPI-V: Performance Monitoring for Virtual Machines
inferredcites →https://doi.org/10.1109/mm.2012.12openalex-snapshot
Power-Management Architecture of the Intel Microarchitecture Code-Named Sandy Bridge
inferredcites →https://doi.org/10.1109/sc.2010.41openalex-snapshot
PerfExpert: An Easy-to-Use Performance Diagnosis Tool for HPC Applications
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/10.1145/1186736.1186737openalex-snapshot
SPEC CPU2006 benchmark descriptions
inferredcites →https://doi.org/10.1145/2768405.2768408openalex-snapshot
Application Runtime Variability and Power Optimization for Exascale Computers
inferredcites →https://doi.org/10.1145/2872362.2872375openalex-snapshot
Maximizing Performance Under a Power Cap
inferredcites →https://doi.org/10.1145/3149412.3149418openalex-snapshot
Improving Energy Efficiency in Memory-constrained Applications Using Core-specific Power Control
inferredcites →https://doi.org/10.1177/1094342006064482openalex-snapshot
The Tau Parallel Performance System
inferredcites →https://doi.org/10.1177/1094342015593158openalex-snapshot
High-performance conjugate-gradient benchmark: A new metric for ranking high-performance computing 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/cpe.5966openalex-snapshot
Application instrumentation for performance analysis and tuning with focus on energy efficiency
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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_14openalex-snapshot
Overview of Application Instrumentation for Performance Analysis and Tuning
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Research of Hardware Implementations Efficiency of Sorting Algorithms Created by Using Xilinx’s High-Level Synthesis Tool
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Exo-intelligent Data-Driven Reconfigurable Computing Platform
inferred← citeshttps://doi.org/10.1007/978-3-030-93872-7_13openalex-snapshot
Developing and Investigation of Heterogeneous Distributed Reconfigurable Platforms for Supercomputing
inferred← citeshttps://doi.org/10.1007/978-3-031-43185-2_2openalex-snapshot
Performance and Energy Evaluation for Solving a Schrödinger-Poisson System on Multicore 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/10.1007/978-3-031-85697-6_2openalex-snapshot
Trade-Off Between Energy Consumption and Solution Accuracy for a Multithreaded Spectral Method Implementation
inferred← citeshttps://doi.org/10.1007/978-3-032-07612-0_18openalex-snapshot
Power-Capping Metric Evaluation for Improving Energy Efficiency in HPC Applications
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/10.1007/978-3-319-97136-0_11openalex-snapshot
MERIC and RADAR Generator: Tools for Energy Evaluation and Runtime Tuning of HPC Applications
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/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/s11227-019-02850-5openalex-snapshot
Investigating power efficiency of mergesort
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2021.107630openalex-snapshot
Energy-aware task scheduling in data centers using an application signature
inferred← citeshttps://doi.org/10.1016/j.future.2020.08.027openalex-snapshot
Fast energy estimation framework for long-running applications
inferred← citeshttps://doi.org/10.1016/j.future.2023.05.019openalex-snapshot
H2M: Exploiting Heterogeneous Shared Memory Architectures
inferred← citeshttps://doi.org/10.1016/j.jocs.2021.101356openalex-snapshot
Modeling the effect of application-specific program transformations on energy and performance improvements of parallel ODE solvers
inferred← citeshttps://doi.org/10.1016/j.jpdc.2023.01.005openalex-snapshot
Reducing energy consumption using heterogeneous voltage frequency scaling of data-parallel applications for multicore systems
inferred← citeshttps://doi.org/10.1109/access.2020.3041442openalex-snapshot
Combined Prediction Energy Model at Software Architecture Level
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/hpec58863.2023.10363596openalex-snapshot
An Analysis of Energy Requirement for Computer Vision Algorithms
inferred← citeshttps://doi.org/10.1109/ipdps.2019.00088openalex-snapshot
Understanding the Impact of Dynamic Power Capping on Application Progress
inferred← citeshttps://doi.org/10.1109/ipdpsw55747.2022.00125openalex-snapshot
Energy-aware neural architecture selection and hyperparameter optimization
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.2021.3092270openalex-snapshot
Online Power Management for Multi-Cores: A Reinforcement Learning Based Approach
inferred← citeshttps://doi.org/10.1145/3620678.3624793openalex-snapshot
Sustainable Supercomputing for AI
inferred← citeshttps://doi.org/10.1145/3774949.3774956openalex-snapshot
OpenMP Offloading on AMD and NVIDIA GPUs: Programmability and Performance Analysis
inferred← citeshttps://doi.org/10.1145/3784828.3785158openalex-snapshot
On the Challenges of Energy-Efficiency Analysis in HPC Systems: Evaluating Synthetic Benchmarks and Gromacs
inferred← citeshttps://doi.org/10.1155/2019/8348791openalex-snapshot
Energy-Aware High-Performance Computing: Survey of State-of-the-Art Tools, Techniques, and Environments
inferred← citeshttps://doi.org/10.1177/10943420231172978openalex-snapshot
Modeling, evaluating, and orchestrating heterogeneous environmental leverages for large-scale data center management
inferred← citeshttps://doi.org/10.1177/10943420241303884openalex-snapshot
Advancements of PAPI for the exascale generation
inferred← citeshttps://doi.org/10.18653/v1/2022.findings-naacl.151openalex-snapshot
Great Power, Great Responsibility: Recommendations for Reducing Energy for Training Language Models
inferred← citeshttps://doi.org/10.23919/fruct48808.2020.9087355openalex-snapshot
Research of the Efficiency of High-level Synthesis Tool for FPGA Based Hardware Implementation of Some Basic Algorithms for the Big Data Analysis and Management Tasks
inferred← citeshttps://doi.org/10.3233/apc200053openalex-snapshot
Characterization of Power Usage and Performance in Data-Intensive Applications Using MapReduce over MPI
inferred← citeshttps://doi.org/10.3390/electronics12071599openalex-snapshot
A Preliminary Empirical Study of the Power Efficiency of Matrix Multiplication
inferred← citeshttps://doi.org/10.3390/en14020376openalex-snapshot
DGX-A100 Face to Face DGX-2—Performance, Power and Thermal Behavior Evaluation
inferred← citeshttps://doi.org/10.3390/en16020890openalex-snapshot
Energy-Aware Scheduling for High-Performance Computing Systems: A Survey
inferred← citeshttps://doi.org/10.3390/en17092225openalex-snapshot
Investigation of Energy and Power Characteristics of Various Matrix Multiplication Algorithms
inferred← citeshttps://doi.org/10.4203/ccp.112.32openalex-snapshot
Energy consumption evaluation of Blender's image renderer in HPC environment
inferred← citeshttps://doi.org/10.4203/ccp.112.33openalex-snapshot
Fine-grained application tuning on OpenPOWER HPC systems
inferred← citeshttps://doi.org/10.48550/arxiv.1903.11694openalex-snapshot
Studying the Impact of Power Capping on MapReduce-based, Data-intensive Mini-applications on Intel KNL and KNM Architectures
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