Parallelization Strategies for the Randomized Kaczmarz Algorithm on Large-Scale Dense Systems

The Kaczmarz algorithm is an iterative technique designed to solve consistent linear systems of equations. It falls within the category of row-action methods, focusing on handling one equation per iteration. This characteristic makes it especially useful in solving very large systems. The recent introduction of a randomized version, the Randomized Kaczmarz method, renewed interest in the algorithm, leading to the development of numerous variations. Subsequently, parallel implementations for both the original and Randomized Kaczmarz method have since then been proposed. However, previous work has addressed sparse linear systems, whereas we focus on solving dense systems. In this paper, we explore in detail approaches to parallelizing the Kaczmarz method for both shared and distributed memory for large dense systems. In particular, we implemented the Randomized Kaczmarz with Averaging (RKA) method that, for inconsistent systems, unlike the standard Randomized Kaczmarz algorithm, reduces the final error of the solution. While efficient parallelization of this algorithm is not achievable, we introduce a block version of the averaging method that can outperform the RKA method

Identification of Clusters that Condition Resistance to Anthracnose in the Common Bean Differential Cultivars AB136 and MDRK.

The correct identification of the anthracnose resistance systems present in the common bean cultivars AB136 and MDRK is important because both are included in the set of 12 differential cultivars proposed for use in classifying the races of the anthracnose causal agent, Colletrotrichum lindemuthianum. In this work, the responses against seven C. lindemuthianum races were analyzed in a recombinant inbred line population derived from the cross AB136 × MDRK. A genetic linkage map of 100 molecular markers distributed across the 11 bean chromosomes was developed in this population to locate the gene or genes conferring resistance against each race, based on linkage analyses and χ2tests of independence. The identified anthracnose resistance genes were organized in clusters. Two clusters were found in AB136: one located on linkage group Pv07, which corresponds to the anthracnose resistance cluster Co-5, and the other located at the end of linkage group Pv11, which corresponds to the Co-2 cluster. The presence of resistance genes at the Co-5 cluster in AB136 was validated through an allelism test conducted in the F2population TU × AB136. The presence of resistance genes at the Co-2 cluster in AB136 was validated through genetic dissection using the F2:3population ABM3 × MDRK, in which it was directly mapped to a genomic position between 46.01 and 47.77 Mb of chromosome Pv11. In MDRK, two independent clusters were identified: one located on linkage group Pv01, corresponding to the Co-1 cluster, and the second located on LG Pv04, corresponding to the Co-3 cluster. This report enhances the understanding of the race-specific Phaseolus vulgaris–C. lindemuthianum interactions and will be useful in breeding programs

Genetic dissection of the resistance to nine anthracnose races in the common bean differential cultivars MDRK and TU

Resistance to nine races of the pathogenic fungus Colletotrichum lindemuthianum, causal agent of anthracnose, was evaluated in F3 families derived from the cross between the anthracnose differential bean cultivars TU (resistant to races, 3, 6, 7, 31, 38, 39, 102, and 449) and MDRK (resistant to races, 449, and 1545). Molecular marker analyses were carried out in the F2 individuals in order to map and characterize the anthracnose resistance genes or gene clusters present in these two differential cultivars. The results of the combined segregation indicate that at least three independent loci conferring resistance to anthracnose are present in TU. One of them, corresponding to the previously described anthracnose resistance locus Co-5, is located in linkage group B7, and is formed by a cluster of different genes conferring specific resistance to races, 3, 6, 7, 31, 38, 39, 102, and 449. Evidence of intracluster recombination between these specific resistance genes was found. The second locus present in TU confers specific resistance to races 31 and 102, and the third locus confers specific resistance to race 102, the location of these two loci remains unknown. The resistance to race 1545 present in MDRK is due to two independent dominant genes. The results of the combined segregation of two F4 families showing monogenic segregation for resistance to race 1545 indicates that one of these two genes is linked to marker OF10530, located in linkage group B1, and corresponds to the previously described anthracnose resistance locus Co-1. The second gene conferring resistance to race 1545 in MDRK is linked to marker Pv-ctt001, located in linkage group B4, and corresponds to the Co-3/Co-9 cluster. The resistance to race 449 present in MDRK is conferred by a single gene, located in linkage group B4, probably included in the same Co-3/Co-9 cluste

Aplicación práctica de las técnicas de planificación propuestas por el PMBOK para un proyecto de despliegue de una solución de localización en interiores

Aplicación de la metodología PMBoK a un caso real de localización de personas.Practical implementation of the technics proposed by PMBOKAplicación práctica de las técnicas de planificación propuestas por el PMBOKAplicació pràctica de les tècniques de planificació proposades per el PMBO

Assessing CO2 emissions of electric vehicles for e-sharing and home care. Two cases developed at Valencian region

[EN] Assessing the environmental impact of transport has been an issue over the last decade. The general framework is established and the followings factors must be considered to obtain results as accurate as possible. Among others (a) the study should considered the entire life cycle if possible: building & materials, usage phase and waste treatment and (b) usage phase assessment must be developed under real conditions in addition to lab tests. When the object of study is urban private transport, some extra lines can be taken into account considering the high impact that environmental initiatives makes in society. The information that local authorities and community receives about the initiative is as relevant as the environmental benefits obtain of the implementation of the project. In this paper, we present the methodology developed to assess CO2 emissions of electric vehicles intendent to car-sharing and home care; two projects developed at Valencian region. We deepen in the relevance and type of information obtain and manage for both studies with a life cycle vision. As a result of usage phase assessment, field test proves to be revealing giving a more realistic vision of the benefits of the project. Theoretical assessments were useful to consider the implementation of a certain project and the necessary support complementing the entity of the study. Resources needed to develop field test might skew results by biasing the study. Attention need to be paid in order to manage resources to set up field tests and avoid setting up field tests due to available resources. Bibliographic studies have shown building, materials and waste treatment depends on available data. Life cycle assessment seems to be the most adequate tool to obtain accurate results although the cost of the assessment is high and might not show significant differences between cars of similar characteristics.Authors would like to thank MOVUS S.L, Juan Sans Hospital of Alcoy, Sagunto Town Council and Univeristat Politècnica de València for their participation and trust in this project.Lo Iacono Ferreira, V.; Torregrosa López, J.; Colomer Ferrandiz, JV. (2016). Assessing CO2 emissions of electric vehicles for e-sharing and home care. Two cases developed at Valencian region. En XII Congreso de ingeniería del transporte. 7, 8 y 9 de Junio, Valencia (España). Editorial Universitat Politècnica de València. 1939-1946. https://doi.org/10.4995/CIT2016.2016.3430OCS1939194