cf4ocl: A C framework for OpenCL

Fachada, Nuno; Lopes, Vítor V.; Martins, Rui C.; Rosa, Agostinho

doi:10.1016/j.scico.2017.03.005

Cited by 3 publications

(3 citation statements)

References 12 publications

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“…Benchmarks were performed using the following modelling approaches: i. Similarity(Sim)-Euclidean distance as a metric of the spectral and compositional similarity between neighbouring samples in the feature space (e.g., FaChada et al, 2014); ii. Principal component regression (PCR) -where the latent structures of the sub-level spectra ½t 1 t 2 t 3 , superset T and tomato spectra U; PLS maximises the covariance between the spectra X and tomato composition Y by determining the eigenvectors of X t Y (Martins et al, 2023).…”

Section: Prediction Of Tomato Qualitymentioning

confidence: 99%

Bi-directional hyperspectral reconstruction of cherry tomato: diagnosis of internal tissues maturation stage and composition

Tosin,

Cunha,

Monteiro-Silva

et al. 2024

Front. Plant Sci.

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IntroductionPrecision monitoring maturity in climacteric fruits like tomato is crucial for minimising losses within the food supply chain and enhancing pre- and post-harvest production and utilisation.ObjectivesThis paper introduces an approach to analyse the precision maturation of tomato using hyperspectral tomography-like.MethodsA novel bi-directional spectral reconstruction method is presented, leveraging visible to near-infrared (Vis-NIR) information gathered from tomato spectra and their internal tissues (skin, pulp, and seeds). The study, encompassing 118 tomatoes at various maturation stages, employs a multi-block hierarchical principal component analysis combined with partial least squares for bi-directional reconstruction. The approach involves predicting internal tissue spectra by decomposing the overall tomato spectral information, creating a superset with eight latent variables for each tissue. The reverse process also utilises eight latent variables for reconstructing skin, pulp, and seed spectral data.ResultsThe reconstruction of the tomato spectra presents a mean absolute percentage error of 30.44 % and 5.37 %, 5.25 % and 6.42 % and Pearson’s correlation coefficient of 0.85, 0.98, 0.99 and 0.99 for the skin, pulp and seed, respectively. Quality parameters, including soluble solid content (%), chlorophyll (a.u.), lycopene (a.u.), and puncture force (N), were assessed and modelled with PLS with the original and reconstructed datasets, presenting a range of R2 higher than 0.84 in the reconstructed dataset. An empirical demonstration of the tomato maturation in the internal tissues revealed the dynamic of the chlorophyll and lycopene in the different tissues during the maturation process.ConclusionThe proposed approach for inner tomato tissue spectral inference is highly reliable, provides early indications and is easy to operate. This study highlights the potential of Vis-NIR devices in precision fruit maturation assessment, surpassing conventional labour-intensive techniques in cost-effectiveness and efficiency. The implications of this advancement extend to various agronomic and food chain applications, promising substantial improvements in monitoring and enhancing fruit quality.

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Section: Prediction Of Tomato Qualitymentioning

confidence: 99%

Bi-directional hyperspectral reconstruction of cherry tomato: diagnosis of internal tissues maturation stage and composition

Tosin,

Cunha,

Monteiro-Silva

et al. 2024

Front. Plant Sci.

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“…We randomly generated a network of 50 wetlands and ran the population dynamics model on it. For generating the random network we used the algorithm developed by Fachada et al (2014). This algorithm generates a random network configuration starting from deterministic topological parameters (e.g., Slope, Number of clusters, Total points) and stochastic parameters (e.g., Average separation of line centers along the X axis, Average separation of line centers along the Y axis, "Cluster fatness").…”

Section: Scenarios For Different Wetlandscapesmentioning

confidence: 99%

“…Networks of wetlands were generated with the algorithm by Fachada et al (2014) using the software MATLAB (The MathWorks 2016). The algorithm generates a network on a two-dimensional plane through the coordinates of nodes; the coordinates are the centroids of wetlands, and a spatial unit corresponds to 1 km.…”

Section: Supporting Informationmentioning

confidence: 99%

Connectivity among wetlands matters for vulnerable amphibian populations in wetlandscapes

Zamberletti

Zaffaroni

Accatino

et al. 2018

Ecological Modelling

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Assessing the feasibility of OpenCL CPU implementations for agent-based simulations

Fachada¹,

Rosa²

2017

Proceedings of the 5th International Workshop on OpenCL

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Agent-based modeling (ABM) is a bottom-up modeling approach, where each entity of the system being modeled is uniquely represented as a self-determining agent. Large scale emergent behavior in ABMs is population sensitive. As such, it is advisable that the number of agents in a simulation is able to re ect the reality of the system being modeled. This means that in domains such as social modeling, ecology, and biology, systems can contain millions or billions of individuals. Such large scale simulations are only feasible in non-distributed scenarios when the computational power of commodity processors, such as GPUs and multi-core CPUs, is fully exploited. In this paper we evaluate the feasibility of using CPUoriented OpenCL for high-performance simulations of agent-based models. We compare a CPU-oriented OpenCL implementation of a reference ABM against a parallel Java version of the same model. We show that there are considerable gains in using CPU-based OpenCL for developing and implementing ABMs, with speedups up to 10× over the parallel Java version on a 10-core hyper-threaded CPU. CCS CONCEPTS •Computing methodologies →Shared memory algorithms; Agent / discrete models; Massively parallel and high-performance simulations; Parallel programming languages; Model verication and validation; Arti cial life;

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cf4ocl: A C framework for OpenCL

Cited by 3 publications

References 12 publications

Bi-directional hyperspectral reconstruction of cherry tomato: diagnosis of internal tissues maturation stage and composition

Bi-directional hyperspectral reconstruction of cherry tomato: diagnosis of internal tissues maturation stage and composition

Connectivity among wetlands matters for vulnerable amphibian populations in wetlandscapes

Assessing the feasibility of OpenCL CPU implementations for agent-based simulations

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