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SpineOpt.jl
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Authors: Ihlemann, Maren; Marin, Manuel; Dillon, Jody; Rasku, Topi; +1 Authors
Ihlemann, Maren; Marin, Manuel; Dillon, Jody; Rasku, Topi; Kiviluoma, Juha;
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Script for analysis & figures: Pollinators, pollination, and reproduction of the black mangrove, Avicennia germinans, across a latitudinal gradient
integration_instructionsResearch softwarekeyboard_double_arrow_right Software 2023Publisher:Zenodo
Authors: Nathan, Mayda;
doi: 10.5281/zenodo.7827134 , 10.5281/zenodo.7827133
doi: 10.5281/zenodo.7827134 , 10.5281/zenodo.7827133
This R script (originally written in R version 3.5.0) contains code performing statistical analyses of data generated as part of a study of range-edge pollination and reproduction in the black mangrove, Avicennia germinans. The script also includes code for figures displaying these data and the results of the analyses. Data files are available on Dryad.
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Python code for automating the computation of goodness-of-fit metrics between numerical simulation and experimental data
integration_instructionsResearch softwarekeyboard_double_arrow_right Software 2023Publisher:Zenodo
Authors: Scortegagna, Vinicius Branco;
doi: 10.5281/zenodo.7960515 , 10.5281/zenodo.7960514
doi: 10.5281/zenodo.7960515 , 10.5281/zenodo.7960514
This Python code automates the computation of four different data analysis metrics to evaluate the goodness-of-fit between numerical simulation output and experimental data. Originally developed to be employed by Lovatto and Petry (2023) to assess the numerical velocity components in the near wake of a wind turbine model rotor tested experimentally by Boorsma et al. (2018) in the "New MEXICO" campaign. *See the README file for more details. *Associated repository: https://github.com/ViniciusBrSc/velocity_metrics.
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NECADA
integration_instructionsResearch softwarekeyboard_double_arrow_right Software 2014 Spain application/zip
Authors: Fonseca Casas, Pau; Fonseca Casas, Antoni;
handle: 2117/24392
handle: 2117/24392
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RLP: power management based on roofline modeling
integration_instructionsResearch softwarekeyboard_double_arrow_right Software 2022Publisher:ZenodoFunded by:EC | POP
EC| POP
Authors: Wang, Bo; Kozhokanova, Anara;
doi: 10.5281/zenodo.6629089 , 10.5281/zenodo.6629088
doi: 10.5281/zenodo.6629089 , 10.5281/zenodo.6629088
RLP for RoofLine Power is a power management approach for a computing unit, such as a CPU processor and a GPU accelerator. The model evaluates the hardware component's utilization at runtime and manages the power consumption accordingly to optimize the overall power dissipation. This archive contains the source code, Makefiles, and scripts for building and running the RLP model. Additionally, the archive contains the scripts and the raw data for our paper "RLP: Power Management Based on a Latency-Aware Roofline Model". RLP is continually improved. The latest version can be found in the publicly accessible GIT repository https://git.rwth-aachen.de/wang/arapl
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The following results are related to Energy Research. Are you interested to view more results? Visit OpenAIRE - Explore.

5 Research products

download

SpineOpt.jl
integration_instructionsResearch softwarekeyboard_double_arrow_right Software
Authors: Ihlemann, Maren; Marin, Manuel; Dillon, Jody; Rasku, Topi; +1 Authors
Ihlemann, Maren; Marin, Manuel; Dillon, Jody; Rasku, Topi; Kiviluoma, Juha;
VTT Research Informa...arrow_drop_down
VTT Research Information System
Software
Data sources: VTT Research Information System
linkLink to
shareshareShare
citeCite
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Please grant OpenAIRE to access and update your ORCID works.
This Research product is the result of merged Research products in OpenAIRE.

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This Research product is the result of merged Research products in OpenAIRE.

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Please grant OpenAIRE to access and update your ORCID works.
This Research product is the result of merged Research products in OpenAIRE.

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Script for analysis & figures: Pollinators, pollination, and reproduction of the black mangrove, Avicennia germinans, across a latitudinal gradient
integration_instructionsResearch softwarekeyboard_double_arrow_right Software 2023Publisher:Zenodo
Authors: Nathan, Mayda;
doi: 10.5281/zenodo.7827134 , 10.5281/zenodo.7827133
doi: 10.5281/zenodo.7827134 , 10.5281/zenodo.7827133
This R script (originally written in R version 3.5.0) contains code performing statistical analyses of data generated as part of a study of range-edge pollination and reproduction in the black mangrove, Avicennia germinans. The script also includes code for figures displaying these data and the results of the analyses. Data files are available on Dryad.
ZENODOarrow_drop_down
ZENODO
Software . 2023
Data sources: Datacite
ZENODO
Software . 2023
Data sources: Datacite
ZENODO
Software . 2023
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Please grant OpenAIRE to access and update your ORCID works.
This Research product is the result of merged Research products in OpenAIRE.

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Software . 2023
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Software . 2023
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Python code for automating the computation of goodness-of-fit metrics between numerical simulation and experimental data
integration_instructionsResearch softwarekeyboard_double_arrow_right Software 2023Publisher:Zenodo
Authors: Scortegagna, Vinicius Branco;
doi: 10.5281/zenodo.7960515 , 10.5281/zenodo.7960514
doi: 10.5281/zenodo.7960515 , 10.5281/zenodo.7960514
This Python code automates the computation of four different data analysis metrics to evaluate the goodness-of-fit between numerical simulation output and experimental data. Originally developed to be employed by Lovatto and Petry (2023) to assess the numerical velocity components in the near wake of a wind turbine model rotor tested experimentally by Boorsma et al. (2018) in the "New MEXICO" campaign. *See the README file for more details. *Associated repository: https://github.com/ViniciusBrSc/velocity_metrics.
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Software . 2023
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Software . 2023
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Software . 2023
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NECADA
integration_instructionsResearch softwarekeyboard_double_arrow_right Software 2014 Spain application/zip
Authors: Fonseca Casas, Pau; Fonseca Casas, Antoni;
handle: 2117/24392
handle: 2117/24392
Preprint
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RLP: power management based on roofline modeling
integration_instructionsResearch softwarekeyboard_double_arrow_right Software 2022Publisher:ZenodoFunded by:EC | POP
EC| POP
Authors: Wang, Bo; Kozhokanova, Anara;
doi: 10.5281/zenodo.6629089 , 10.5281/zenodo.6629088
doi: 10.5281/zenodo.6629089 , 10.5281/zenodo.6629088
RLP for RoofLine Power is a power management approach for a computing unit, such as a CPU processor and a GPU accelerator. The model evaluates the hardware component's utilization at runtime and manages the power consumption accordingly to optimize the overall power dissipation. This archive contains the source code, Makefiles, and scripts for building and running the RLP model. Additionally, the archive contains the scripts and the raw data for our paper "RLP: Power Management Based on a Latency-Aware Roofline Model". RLP is continually improved. The latest version can be found in the publicly accessible GIT repository https://git.rwth-aachen.de/wang/arapl
ZENODOarrow_drop_down
ZENODO
Software . 2022
Data sources: Datacite
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Software . 2022
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Energy Research
Closed Access
Research software

SpineOpt.jl

Script for analysis & figures: Pollinators, pollination, and reproduction of the black mangrove, Avicennia germinans, across a latitudinal gradient

Python code for automating the computation of goodness-of-fit metrics between numerical simulation and experimental data

NECADA

RLP: power management based on roofline modeling

SpineOpt.jl

Script for analysis & figures: Pollinators, pollination, and reproduction of the black mangrove, Avicennia germinans, across a latitudinal gradient

Python code for automating the computation of goodness-of-fit metrics between numerical simulation and experimental data

NECADA

RLP: power management based on roofline modeling

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download	downloads	5

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