Parallelization of kinetic Monte Carlo algorithm to simulate AL3Sc precipitation

The present paper reports the precipitation process of Al3Sc structures in an aluminum scandium alloy, which has been simulated with a synchronous parallel kinetic Monte Carlo (spkMC) algorithm. The spkMC implementation is based on the vacancy diffusion mechanism. To filter the raw data generated by the spkMC simulations, the density-based clustering with noise (DBSCAN) method has been employed. spkMC and DBSCAN algorithms were implemented in the C language and using MPI library. The simulations were conducted in the SeARCH cluster located at the University of Minho. The Al3Sc precipitation was successfully simulated at the atomistic scale with the spkMC. DBSCAN proved to be a valuable aid to identify the precipitates by performing a cluster analysis of the simulation results. The achieved simulations results are in good agreement with those reported in the literature under sequential kinetic Monte Carlo simulations (kMC). The parallel implementation of kMC has provided a 4x speedup over the sequential version.

An immunity based configuration for multilayer single featured biometric authentication algorithms

Immune systems have been used in the last years to inspire approaches for several computational problems. This paper focus on behavioural biometric authentication algorithms’ accuracy enhancement by using them more than once and with different thresholds in order to first simulate the protection provided by the skin and then look for known outside entities, like lymphocytes do. The paper describes the principles that support the application of this approach to Keystroke Dynamics, an authentication biometric technology that decides on the legitimacy of a user based on his typing pattern captured on he enters the username and/or the password and, as a proof of concept, the accuracy levels of one keystroke dynamics algorithm when applied to five legitimate users of a system both in the traditional and in the immune inspired approaches are calculated and the obtained results are compared.

Poly-N-acetyl glucosamine expression in Staphylococcus epidermidis biofilm cells affects the immune response and promotes tissue pathology in infected hosts

Staphylococcus epidermidis is a biofilm - forming bacterium and a leading etiological agent of nosocomial infections. The ability to establish biofilms on indwelling medical devices is a key virulence factor for this bacterium. Still, the influence of poly - N - acetyl glucosamine (PNAG), the major component of the extracellular biofilm matrix, in the host immune response has been scarcely studied. Here, t h is influence was assessed in mice challenged i.p. with PNAG - p roducing (WT) and isogenic - mutant lacking PNAG (M10) bacteria grown in biofilm - inducing conditions. Faster bacterial clearance was observed in the mice infected with WT bacteria than in M10 - infected counterparts , which w as accompanied by earlier neutrophil recruitment and higher IL - 6 production. Interestingly, in the WT - infected mice, but not in those infected with M10 , elevated serum IL - 10 was detected . To further study the effe ct of PNAG in the immune response, mice were primed with WT or M10 biofilm bacteria and subsequently infected with WT biofilm - released cells. WT - primed mice presented a higher frequency of splenic IFN - γ + and IL - 17 + CD4 + T cells, and more severe liver patho logy than M10 - primed counterparts. Nevertheless, T reg cells obtained from the WT - primed mice presented a higher suppressive function than those obtained from M10 - primed mice. This effect was abrogated when IL - 10 - deficient mice were similarly primed and infected indicating that PNAG promotes the differentiati on of highly suppressive T reg cells by a mechanism dependent on IL - 10. Altogether, these results provide evidence help ing explain ing the coexistence of inflammation and bacterial persistence often observed in biofilm - originated S. epidermidis infections

Solving large 0–1 multidimensional knapsack problems by a new simplified binary artificial fish swarm algorithm

The artificial fish swarm algorithm has recently been emerged in continuous global optimization. It uses points of a population in space to identify the position of fish in the school. Many real-world optimization problems are described by 0-1 multidimensional knapsack problems that are NP-hard. In the last decades several exact as well as heuristic methods have been proposed for solving these problems. In this paper, a new simpli ed binary version of the artificial fish swarm algorithm is presented, where a point/ fish is represented by a binary string of 0/1 bits. Trial points are created by using crossover and mutation in the different fi sh behavior that are randomly selected by using two user de ned probability values. In order to make the points feasible the presented algorithm uses a random heuristic drop item procedure followed by an add item procedure aiming to increase the profit throughout the adding of more items in the knapsack. A cyclic reinitialization of 50% of the population, and a simple local search that allows the progress of a small percentage of points towards optimality and after that refines the best point in the population greatly improve the quality of the solutions. The presented method is tested on a set of benchmark instances and a comparison with other methods available in literature is shown. The comparison shows that the proposed method can be an alternative method for solving these problems.

A new competitive implementation of the electromagnetism-like algorithm for global optimization

The Electromagnetism-like (EM) algorithm is a population- based stochastic global optimization algorithm that uses an attraction- repulsion mechanism to move sample points towards the optimal. In this paper, an implementation of the EM algorithm in the Matlab en- vironment as a useful function for practitioners and for those who want to experiment a new global optimization solver is proposed. A set of benchmark problems are solved in order to evaluate the performance of the implemented method when compared with other stochastic methods available in the Matlab environment. The results con rm that our imple- mentation is a competitive alternative both in term of numerical results and performance. Finally, a case study based on a parameter estimation problem of a biology system shows that the EM implementation could be applied with promising results in the control optimization area.

Combining non-dominance, objective-order and spread metric to extend firefly algorithm to multi-objective optimization

In this paper, we propose an extension of the firefly algorithm (FA) to multi-objective optimization. FA is a swarm intelligence optimization algorithm inspired by the flashing behavior of fireflies at night that is capable of computing global solutions to continuous optimization problems. Our proposal relies on a fitness assignment scheme that gives lower fitness values to the positions of fireflies that correspond to non-dominated points with smaller aggregation of objective function distances to the minimum values. Furthermore, FA randomness is based on the spread metric to reduce the gaps between consecutive non-dominated solutions. The obtained results from the preliminary computational experiments show that our proposal gives a dense and well distributed approximated Pareto front with a large number of points.

New control algorithm for single-phase series active power filter

This paper presents a single-phase Series Active Power Filter (Series APF) for mitigation of the load voltage harmonic content, while maintaining the voltage on the DC side regulated without the support of a voltage source. The proposed series active power filter control algorithm eliminates the additional voltage source to regulate the DC voltage, and with the adopted topology it is not used a coupling transformer to interface the series active power filter with the electrical power grid. The paper describes the control strategy which encapsulates the grid synchronization scheme, the compensation voltage calculation, the damping algorithm and the dead-time compensation. The topology and control strategy of the series active power filter have been evaluated in simulation software and simulations results are presented. Experimental results, obtained with a developed laboratorial prototype, validate the theoretical assumptions, and are within the harmonic spectrum limits imposed by the international recommendations of the IEEE-519 Standard.

MOEA/VAN: Multiobjective Evolutionary Algorithm based on Vector Angle Neighborhood

Natural selection favors the survival and reproduction of organisms that are best adapted to their environment. Selection mechanism in evolutionary algorithms mimics this process, aiming to create environmental conditions in which artificial organisms could evolve solving the problem at hand. This paper proposes a new selection scheme for evolutionary multiobjective optimization. The similarity measure that defines the concept of the neighborhood is a key feature of the proposed selection. Contrary to commonly used approaches, usually defined on the basis of distances between either individuals or weight vectors, it is suggested to consider the similarity and neighborhood based on the angle between individuals in the objective space. The smaller the angle, the more similar individuals. This notion is exploited during the mating and environmental selections. The convergence is ensured by minimizing distances from individuals to a reference point, whereas the diversity is preserved by maximizing angles between neighboring individuals. Experimental results reveal a highly competitive performance and useful characteristics of the proposed selection. Its strong diversity preserving ability allows to produce a significantly better performance on some problems when compared with stat-of-the-art algorithms.

Reconstructing historical forest cover change in the Lower Amazon floodplains using the LandTrendr algorithm

ABSTRACTThe Amazon várzeas are an important component of the Amazon biome, but anthropic and climatic impacts have been leading to forest loss and interruption of essential ecosystem functions and services. The objectives of this study were to evaluate the capability of the Landsat-based Detection of Trends in Disturbance and Recovery (LandTrendr) algorithm to characterize changes in várzeaforest cover in the Lower Amazon, and to analyze the potential of spectral and temporal attributes to classify forest loss as either natural or anthropogenic. We used a time series of 37 Landsat TM and ETM+ images acquired between 1984 and 2009. We used the LandTrendr algorithm to detect forest cover change and the attributes of "start year", "magnitude", and "duration" of the changes, as well as "NDVI at the end of series". Detection was restricted to areas identified as having forest cover at the start and/or end of the time series. We used the Support Vector Machine (SVM) algorithm to classify the extracted attributes, differentiating between anthropogenic and natural forest loss. Detection reliability was consistently high for change events along the Amazon River channel, but variable for changes within the floodplain. Spectral-temporal trajectories faithfully represented the nature of changes in floodplain forest cover, corroborating field observations. We estimated anthropogenic forest losses to be larger (1.071 ha) than natural losses (884 ha), with a global classification accuracy of 94%. We conclude that the LandTrendr algorithm is a reliable tool for studies of forest dynamics throughout the floodplain.

Immune cell changes in swimmers : response to acute exercise and training

O treino competitivo envolve exercício intenso e prolongado, capaz de modular o número e actividade das células imunitárias. Quando demasiado exigente poderá induzir fadiga e aumentar a susceptibilidade a doenças. Esta dissertação apresenta três estudos desenvolvidos no âmbito da Imunologia do Exercício, considerando a análise da resposta celular imunitária sistémica aguda e crónica ao exercício aplicada em situações reais do treino competitivo de natação, controlando factores passíveis de influenciar esta resposta. Pretendeu-se avaliar a resposta imunitária a uma sessão de treino prolongada e intensa, durante as 24h de recuperação (Estudo 1) e a uma época de treino com sete meses (Estudo 2), e estudar a influência de um macrociclo de treino de quatro meses sobre a resposta imunitária à mesma sessão de treino e período de recuperação (Estudo 3), controlando sexo, fases do ciclo menstrual, maturidade, escalão, especialidade, performance, cargas de treino e sintomas respiratórios superiores (URS). A sessão de treino induziu a diminuição da vigilância imunitária adquirida imediatamente e, pelo menos nas 2h seguintes. Juvenis e seniores recuperaram totalmente 24h depois, mas não os juniores, reforçando a ideia da existência de uma janela aberta para a infecção após exercícios prolongados e intensos e sugerindo uma recuperação menos eficiente para os juniores. No período de treino mais intenso da época observou-se uma imunodepressão e maior prevalência de URS. No final da época, a imunidade inata diminuiu aparentando maior sensibilidade aos efeitos cumulativos da carga de treino, enquanto a imunidade adquirida parece ter recuperado após o taper. O macrociclo de treino atenuou a resposta imunitária à sessão de treino e aumentou o período de janela aberta às infecções (efeitos mais acentuados nos adolescentes). Os resultados evidenciam a importância de controlar alterações imunitárias durante a época competitiva, especialmente em períodos de treino intenso e quando se realizam sessões de treino intensas consecutivas com recuperações inferiores a 24h.

Senescencia de celulas T humanas inducida por tumores: un nuevo mecanismo de evasión de la respuesta inmune. Senescence of human T cells iduced by tumors. A new mechanism of evasion of immune response.

La respuesta antitumoral en individuos con cáncer depende, en gran medida, de células del sistema inmune capaces de reconocer y eliminar las células tumorales. Sin embargo, los tumores tienen la capacidad de evadir la respuesta inmune a través de diversos mecanismos como por ejemplo inducir la muerte de células claves del sistema inmune [1-3]. Previamente nosotros demostramos mediante un modelo in vitro que dependiendo de las condiciones de interacción entre tumor y linfocitos (tiempo y relación numérica), los tumores pueden inducir apoptosis o senescencia de linfocitos T provenientes de donantes sanos. Nuestros resultados son los primeros en demostrar que células tumorales de diversos orígenes pueden inducir senescencia de células T a través de factor/s solubles. También demostramos que a diferencia con los que ocurre in vivo, tanto las células CD4 como las CD8 son susceptibles a adquirir fenotipo de senescencia. Estudiando las implicancias que puede tener la senescencia sobre la funcionalidad de la célula T, observamos que las células T CD4+ y CD8+ senescentes pueden suprimir una respuesta linfoproliferativa. Si bien las células CD8+CD28- han sido identificadas in vivo, nosotros demostramos que células CD4+ CD28- tiene capacidad supresora [4]. En base a estos resultados, nuestra hipótesis es que las células T senescentes inducida por tumores pueden regular nuestro sistema de defensa actuando sobre la respuesta inmune adaptativa y posiblemente sobre la innata y, por consiguiente, postulamos que la senescencia de células T puede ser considerada como otro de los mecanismos de evasión de la respuesta inmunePlanteamos así los siguientes objetivos específicos: -Evaluar como las células T senescentes inducidas por tumores pueden regular la respuesta inmune.-Evaluar la participación de mediadores solubles capaces de regular la senescencia de células T inducida por tumores. En la actualidad existen estrategias inmuno-terapéuticas que avizoran resultados promisorios. Sin embargo, el control de células T inmunosupresoras permanece como unos de los grandes desafíos. Nuestro proyecto proveerá conocimientos sobre un fenómeno muy poco estudiado y por consiguiente muy poco valorado a la hora de diseñar estrategias terapéuticas para la cura del cáncer.

Regulación de la actividad funcional tiroidea e interacción con mediadores de la respuesta inmune. Regulation of thyroid functional activity and interaction with mediators of immune response.

TEMA I. MECANISMOS NO CLÁSICOS EN EL CONTROL DE LA BIOSÍNTESIS DE HORMONAS TIROIDEAS. El objetivo general de este aspecto del proyecto es el estudio de los mecanismos bioquímicos y moleculares que regulan la hormonogénesis tiroidea en diferentes condiciones funcionales. En proyectos anteriores hemos demostrado que la endotoxina bacteriana lipopolisacárido (LPS) y el oxido nítrico (NO) inducen modificaciones en la biosíntesis de hormonas tiroideas. En base a estos resultados se propone investigar el mecanismo responsable de la estimulación de la captación de ioduro y la expresión de NIS ejercida por LPS y los factores que regulan la producción de NO en la célula tiroidea. Por otra parte se investigarán posibles factores hormonales reguladores de la absorción de ioduro a nivel intestinal y su relación con el eje hipófiso-tiroideo, así como los mecanismos involucrados en la expresión de NIS en enterocitos. Como extensión con aplicación clínica y en base a la experiencia del grupo en el estudio de proteínas que participan en la biosíntesis hormonal tiroidea, se realizará una pesquisa de posibles mutaciones en el transportador de ioduro en pacientes con Hipotiroidismo congénito.TEMA II. ESTUDIO DEL EFECTO DE LAS HORMONAS TIROIDEAS EN LA INICIACIÓN DE LA RESPUESTA INMUNE EN RATÓN. INTERACCIÓN CON GLUCOCORTICOIDES. En nuestro grupo demostramos recientemente un efecto novel de las hormonas tiroideas sobre la maduración/función de células presentadoras de antígenos especializadas: células dendríticas (DC), derivadas de médula ósea de ratón. En este proyecto se propone: 1) profundizar el mecanismo molecular involucrado en el efecto de triiodotironina (T3) sobre DC: rol del receptor de T3-señalamiento intracelular; capacidad de DC tratadas con T3 de estimular la citotoxicidad antígeno-específica; estrategia de vacunación en el tratamiento antitumoral. Por su parte, también previamente demostramos la característica de los glucocorticoides (GC) de interaccionar con el mecanismo de acción de las hormonas tiroideas en la expresión final de los efectos T3-específicos. Considerando el uso terapéutico de los GC en diversos estados clínico-patológicos inmunes, se propone: 2) Estudio del efecto de dexametasona (GC de síntesis) sobre el mecanismo de acción de T3 a nivel de DC.

PARTICIPACIÓN DEL RECONOCIMIENTO INMUNE INNATO EN LA RESPUESTA DE CARDIOMIOCITOS DURANTE LA INFECCIÓN EXPERIMENTAL CON TRYPANOSOMA CRUZI. Characterization of the cardiac innate immune response during Trypanosoma cruzi experimental infection.

La enfermedad de Chagas, causada por Trypanosoma cruzi, constituye la principal miocarditis infecciosa a nivel mundial. Crecientes evidencias revelan que la respuesta inmune innata tendría un rol determinante en la fisiopatología de las enfermedades cardiovasculares. La inmunidad innata es la primera línea de defensa, no específica, preprogramada para combatir agentes infecciosos. Este sistema censa la presencia de antígenos extraños a través de los receptores tipo toll (TLR) produciendo citoquinas y activando mecanismos microbicidas. Sin embargo, los TLRs también se hayan distribuidos en las células parenquimales no inmunes, jugando un importante rol tanto en la defensa como en la homeostasis de cada tejido. Durante la etapa aguda de la infección, el T. cruzi invade y se replica dentro de una amplia variedad de células y tejidos. Pero posteriormente, los parásitos son efectivamente eliminados de la mayoría de los tejidos persistiendo durante toda la vida en las células del músculo cardíaco y esquelético de los pacientes infectados. Debido a que el mantenimiento de la célula cardíaca infectada es crítica para la patogénesis de la enfermedad, los mecanismos que participan en la sobrevida de los cardiomiocitos están siendo foco de nuestro estudio. Hemos demostrado, que la infección ejerce efectos antiapoptóticos sobre células cardíacas aisladas. Nuestra hipótesis es que la inmunidad innata cardíaca estaría involucrada en el mantenimiento de la sobrevida de los miocitos así como en la defensa contra el parásito. Objetivo general: determinar la participación de la respuesta inmune innata cardíaca en el desarrollo de la enfermedad de Chagas experimental murina. Objetivos específicos: 1) Analizar el compromiso de TLRs en la respuesta anti-apoptótica y de autofagia de cardiomiocitos aislados de ratones salvajes y de ratones deficientes en TLR4, TLR2 y en MyD88, molécula adaptadora de la señalización por TLRs, sometidos a la infección con el parásito. 2) Determinar la importancia de la actividad cisteín proteasa parasitaria en el grado de infectividad y la sobrevida de cultivos primarios de ratones salvajes infectados con parásitos transgénicos que poseen disminuída o nula actividad cisteín proteasa. 3) Establecer la cinética de expresión de TLR2/TLR6, TLR4 y TLR9, factores antiapoptóticos (Bcl-2, Bcl-xL, etc.), daño cardíaco y la carga parasitaria en el tejido cardíaco de ratones infectados salvajes y/o deficientes antes mencionados. Materiales y Métodos: Los animales serán infectados i.p. con 5x103 parásitos y se determinará la cinética de expresión de los mediadores mencionados por western blot e inmunofluorescencia, la carga parasitaria será determinada por qRT-PCR. Como controles se procesarán animales inyectados con solución salina. En cultivos primarios de cardiomiocitos de ratones neonatos salvajes y deficientes infectados se estudiará la carga parasitaria, la activación de los mecanismos microbicidas (producción de óxido nítrico, metabolitos reactivos del oxígeno y del nitrógeno, ciclooxigenasa, etc.), producción de citoquinas y expresión de moléculas anti-apoptóticas (Bcl-2, Bcl-xL, Bax, etc.). Se explorará la tasa de apoptosis en cultivos deprivados de suero. La autofagia se analizará por microscopia electrónica. Cultivos controles serán mantenidos en medio o tratados con ligandos de los diferentes TLRs. Resultados preliminares sugieren que tanto TLR2 como Bcl-2 se incrementan en tejido cardíaco infectado. Esto nos lleva a profundizar en los mecanismos observados en cultivos y estudiarlos en un modelo in vivo, analizando la posible importancia que tiene la inmunidad innata cardíaca en el control del establecimiento de la infección. La comprensión de los mecanismos que mantienen la sobrevida de los cardiomiocitos y su respuesta a la infección es importante ya que el conocimiento de las bases moleculares es fundamental para el desarrollo de nuevos agentes quimioterapéuticos. Chagas disease is endemic in Central and South America and causes the most common myocarditis worldwide. We have previously reported that the cardiotrophic parasite Trypanosoma cruzi, its etiological agent, protects cardiomyocytes against apoptosis induced by growth factor deprivation activating the PI3K/Akt and MEK1/ERK signaling pathways. Recent studies have shown that local innate immunity plays a key role in initiating and coordinating homeostatic as well as defense responses in the heart. One of the mechanisms by which the innate immune system senses the presence of foreign antigens is through TLRs. The stimulation of these receptors leads to the activation and nuclear translocation of NF-kB transcription factor and the production of cytokines. Proinflammatory cytokines, in turn, appear to play a central role in the orchestration and timing of the intrinsic cardiac stress response providing, under different situations, instantaneous anti-apoptotic cytoprotective signals, which allow tissue repair and/or remodeling. The aim of the present project is to study the cardiomyocyte innate immune responses to T. cruzi infection and its role in target cell protection from apoptosis. Specific objectives: 1) Study the mechanism triggered by TLR in the anti-apoptotic response and parasite load of infected cardiomyocyte primary cultures from wild type and mice deficient in TLR2, TLR4 or MyD88. 2) Determine the effect of parasite cisteín protease activity on primary cultures from wild type mice. 3) Determine the TLR signaling-involvement in parasite load and survival indicators in deficient mice. Preliminary results showed us that cardiac-TLR2 may be involved in the anti-apoptotic effect elicited by the parasite and prompted us to establish the mechanisms triggered by the innate immunity that mediate parasite persistence within the host cell.

Aceleración de Algoritmos en Procesadores Multicore, GPGPU y FPGA. Algorithm Acceleration with Multicore, GPGPU and FPGA Processors.

El avance en la potencia de cómputo en nuestros días viene dado por la paralelización del procesamiento, dadas las características que disponen las nuevas arquitecturas de hardware. Utilizar convenientemente este hardware impacta en la aceleración de los algoritmos en ejecución (programas). Sin embargo, convertir de forma adecuada el algoritmo en su forma paralela es complejo, y a su vez, esta forma, es específica para cada tipo de hardware paralelo. En la actualidad los procesadores de uso general más comunes son los multicore, procesadores paralelos, también denominados Symmetric Multi-Processors (SMP). Hoy en día es difícil hallar un procesador para computadoras de escritorio que no tengan algún tipo de paralelismo del caracterizado por los SMP, siendo la tendencia de desarrollo, que cada día nos encontremos con procesadores con mayor numero de cores disponibles. Por otro lado, los dispositivos de procesamiento de video (Graphics Processor Units - GPU), a su vez, han ido desarrollando su potencia de cómputo por medio de disponer de múltiples unidades de procesamiento dentro de su composición electrónica, a tal punto que en la actualidad no es difícil encontrar placas de GPU con capacidad de 200 a 400 hilos de procesamiento paralelo. Estos procesadores son muy veloces y específicos para la tarea que fueron desarrollados, principalmente el procesamiento de video. Sin embargo, como este tipo de procesadores tiene muchos puntos en común con el procesamiento científico, estos dispositivos han ido reorientándose con el nombre de General Processing Graphics Processor Unit (GPGPU). A diferencia de los procesadores SMP señalados anteriormente, las GPGPU no son de propósito general y tienen sus complicaciones para uso general debido al límite en la cantidad de memoria que cada placa puede disponer y al tipo de procesamiento paralelo que debe realizar para poder ser productiva su utilización. Los dispositivos de lógica programable, FPGA, son dispositivos capaces de realizar grandes cantidades de operaciones en paralelo, por lo que pueden ser usados para la implementación de algoritmos específicos, aprovechando el paralelismo que estas ofrecen. Su inconveniente viene derivado de la complejidad para la programación y el testing del algoritmo instanciado en el dispositivo. Ante esta diversidad de procesadores paralelos, el objetivo de nuestro trabajo está enfocado en analizar las características especificas que cada uno de estos tienen, y su impacto en la estructura de los algoritmos para que su utilización pueda obtener rendimientos de procesamiento acordes al número de recursos utilizados y combinarlos de forma tal que su complementación sea benéfica. Específicamente, partiendo desde las características del hardware, determinar las propiedades que el algoritmo paralelo debe tener para poder ser acelerado. Las características de los algoritmos paralelos determinará a su vez cuál de estos nuevos tipos de hardware son los mas adecuados para su instanciación. En particular serán tenidos en cuenta el nivel de dependencia de datos, la necesidad de realizar sincronizaciones durante el procesamiento paralelo, el tamaño de datos a procesar y la complejidad de la programación paralela en cada tipo de hardware. Today´s advances in high-performance computing are driven by parallel processing capabilities of available hardware architectures. These architectures enable the acceleration of algorithms when thes ealgorithms are properly parallelized and exploit the specific processing power of the underneath architecture. Most current processors are targeted for general pruposes and integrate several processor cores on a single chip, resulting in what is known as a Symmetric Multiprocessing (SMP) unit. Nowadays even desktop computers make use of multicore processors. Meanwhile, the industry trend is to increase the number of integrated rocessor cores as technology matures. On the other hand, Graphics Processor Units (GPU), originally designed to handle only video processing, have emerged as interesting alternatives to implement algorithm acceleration. Current available GPUs are able to implement from 200 to 400 threads for parallel processing. Scientific computing can be implemented in these hardware thanks to the programability of new GPUs that have been denoted as General Processing Graphics Processor Units (GPGPU).However, GPGPU offer little memory with respect to that available for general-prupose processors; thus, the implementation of algorithms need to be addressed carefully. Finally, Field Programmable Gate Arrays (FPGA) are programmable devices which can implement hardware logic with low latency, high parallelism and deep pipelines. Thes devices can be used to implement specific algorithms that need to run at very high speeds. However, their programmability is harder that software approaches and debugging is typically time-consuming. In this context where several alternatives for speeding up algorithms are available, our work aims at determining the main features of thes architectures and developing the required know-how to accelerate algorithm execution on them. We look at identifying those algorithms that may fit better on a given architecture as well as compleme

A Novel Algorithm to Quantify Coronary Remodeling Using Inferred Normal Dimensions

Background:Vascular remodeling, the dynamic dimensional change in face of stress, can assume different directions as well as magnitudes in atherosclerotic disease. Classical measurements rely on reference to segments at a distance, risking inappropriate comparison between dislike vessel portions.Objective:to explore a new method for quantifying vessel remodeling, based on the comparison between a given target segment and its inferred normal dimensions.Methods:Geometric parameters and plaque composition were determined in 67 patients using three-vessel intravascular ultrasound with virtual histology (IVUS-VH). Coronary vessel remodeling at cross-section (n = 27.639) and lesion (n = 618) levels was assessed using classical metrics and a novel analytic algorithm based on the fractional vessel remodeling index (FVRI), which quantifies the total change in arterial wall dimensions related to the estimated normal dimension of the vessel. A prediction model was built to estimate the normal dimension of the vessel for calculation of FVRI.Results:According to the new algorithm, “Ectatic” remodeling pattern was least common, “Complete compensatory” remodeling was present in approximately half of the instances, and “Negative” and “Incomplete compensatory” remodeling types were detected in the remaining. Compared to a traditional diagnostic scheme, FVRI-based classification seemed to better discriminate plaque composition by IVUS-VH.Conclusion:Quantitative assessment of coronary remodeling using target segment dimensions offers a promising approach to evaluate the vessel response to plaque growth/regression.