4,843 research outputs found

    The Parallelism Motifs of Genomic Data Analysis

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    Genomic data sets are growing dramatically as the cost of sequencing continues to decline and small sequencing devices become available. Enormous community databases store and share this data with the research community, but some of these genomic data analysis problems require large scale computational platforms to meet both the memory and computational requirements. These applications differ from scientific simulations that dominate the workload on high end parallel systems today and place different requirements on programming support, software libraries, and parallel architectural design. For example, they involve irregular communication patterns such as asynchronous updates to shared data structures. We consider several problems in high performance genomics analysis, including alignment, profiling, clustering, and assembly for both single genomes and metagenomes. We identify some of the common computational patterns or motifs that help inform parallelization strategies and compare our motifs to some of the established lists, arguing that at least two key patterns, sorting and hashing, are missing

    Networks of Bio-inspired Processors

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    The goal of this work is twofold. Firstly, we propose a uniform view of three types of accepting networks of bio-inspired processors: networks of evolutionary processors, networks of splicing processors and networks of genetic processors. And, secondly, we survey some features of these networks: computational power, computational and descriptional complexity, the existence of universal networks, eciency as problem solvers and the relationships among them

    Deep Space Network information system architecture study

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    The purpose of this article is to describe an architecture for the Deep Space Network (DSN) information system in the years 2000-2010 and to provide guidelines for its evolution during the 1990s. The study scope is defined to be from the front-end areas at the antennas to the end users (spacecraft teams, principal investigators, archival storage systems, and non-NASA partners). The architectural vision provides guidance for major DSN implementation efforts during the next decade. A strong motivation for the study is an expected dramatic improvement in information-systems technologies, such as the following: computer processing, automation technology (including knowledge-based systems), networking and data transport, software and hardware engineering, and human-interface technology. The proposed Ground Information System has the following major features: unified architecture from the front-end area to the end user; open-systems standards to achieve interoperability; DSN production of level 0 data; delivery of level 0 data from the Deep Space Communications Complex, if desired; dedicated telemetry processors for each receiver; security against unauthorized access and errors; and highly automated monitor and control

    Solving 2D-pattern matching with networks of picture processors

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    We propose a solution based on networks of picture processors to the problem of picture pattern matching. The network solving the problem can be informally described as follows: it consists of two subnetworks, one of them extracts simultaneously all subpictures of the same size from the input picture and sends them to the second subnetwork. The second subnetwork checks whether any of the received pictures is identical to the pattern. We present an efficient solution based on networks with evolutionary processors only, for patterns with at most three rows or columns. Afterwards, we present a solution based on networks containing both evolutionary and hiding processors running in O(n+m+kl+k) computational (processing and communication) steps, where the input picture and the pattern are of size (n,m) and (k,l), respectively

    Spatio-Temporal Patterns act as Computational Mechanisms governing Emergent behavior in Robotic Swarms

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    open access articleOur goal is to control a robotic swarm without removing its swarm-like nature. In other words, we aim to intrinsically control a robotic swarm emergent behavior. Past attempts at governing robotic swarms or their selfcoordinating emergent behavior, has proven ineffective, largely due to the swarm’s inherent randomness (making it difficult to predict) and utter simplicity (they lack a leader, any kind of centralized control, long-range communication, global knowledge, complex internal models and only operate on a couple of basic, reactive rules). The main problem is that emergent phenomena itself is not fully understood, despite being at the forefront of current research. Research into 1D and 2D Cellular Automata has uncovered a hidden computational layer which bridges the micromacro gap (i.e., how individual behaviors at the micro-level influence the global behaviors on the macro-level). We hypothesize that there also lie embedded computational mechanisms at the heart of a robotic swarm’s emergent behavior. To test this theory, we proceeded to simulate robotic swarms (represented as both particles and dynamic networks) and then designed local rules to induce various types of intelligent, emergent behaviors (as well as designing genetic algorithms to evolve robotic swarms with emergent behaviors). Finally, we analysed these robotic swarms and successfully confirmed our hypothesis; analyzing their developments and interactions over time revealed various forms of embedded spatiotemporal patterns which store, propagate and parallel process information across the swarm according to some internal, collision-based logic (solving the mystery of how simple robots are able to self-coordinate and allow global behaviors to emerge across the swarm)

    Peer-to-Peer Networks: A Language Theoretic Approach

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    In this article a modification of a grammar systems theoretic construction, the so-called network of parallel language processors, is proposed to describe the behaviour of peer-to-peer (P2P) systems. In our model, the language processors form teams, send and receive information through collective and individual filters. The paper deals with the dynamics of string collections. The connection between the growth function of a developmental system and the growth function of networks of parallel multiset string processors with teams of collective and individual filtering is also established

    Picture languages generated by splicing and assembling til·les

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    Idiomes imatge generats per Empalme i Muntatge Rajoles. L'extensió de l'estudi de les llengües oficials sobre el cas string 2 idiomes dimensionals o idiomes imatge ha estat d'interès per molt temps per les seves vastes aplicacions. En la tesi i l'objecte de dues dimensions més comú estudiat és una imatge que és una matriu rectangular de símbols presos a partir d'un alfabet finit. L 'objectiu d'aquesta tesi se centra en l'estudi de la generació de les classes d'idiomes d'imatge per les operacions de bio-inspirats saber, `Enllaç' i` Auto-Assemblea 'd'ADN-Computing. És a dir, sistema d'entroncament i enrajolats Regla Sistemes H-Array. H-array Empalme Sistema és un formalisme bio-inspirat estès des H-entroncament de la caixa de cadena, un estudi àmpliament investigat introduït per T. Head. Està estructurat com un mecanisme mitjançant l'estudi de les gramàtiques lineals de dues dimensions correctes. Aquest formalisme és un mecanisme que s'aplica al número finit d'imatges trucades imatges inicials amb determinat conjunt de regles d'entroncament de dòmino de columna i fila. El lloc de context en el qual les dues imatges es tallen en columnes i files es va decidir per la seqüència de dòmino adjacents en el conjunt de regles. I llavors el `enganxar 'de la primera part de la imatge a la segona part de la imatge es realitza mitjançant la columna i fila concatenacions respectivament. L'H-Array Enllaç Sistemes s'aplica sobre llengües 2D-RLG generant idiomes Enllaç H-Array (HASL). A continuació, les classes de restricció definides i d'estudi són acte Creu sobre matrius i llenguatges Empalme matriu simples i resultats incomparables es va demostrar amb 2D-RLG, HASL. No són disjunts i es creuen llenguatges recognoscibles. El segon formalisme principal introduït i estudiat a la tesi és Revestiments Sistema de regles . Aquest formalisme genera la imatge pel conjunt de regles de mosaic, muntatge rajoles. Hem demostrat que la classe de L (TS) (Sistema d'enrajolat, llenguatge reconeixible) està continguda en TRuS. A més, vam demostrar existeixen una construcció del formalisme basat en la generació d'imatges en files o columnes que és equivalent a L (TS). L'equivalència es demostra l'ús de sistemes de Wang. Així que porta a una idea interessant d funcionament bio-inspirat (auto-acoblament) a la generació de la imatge.Idiomas de imagen generados por Empalme y Montaje Azulejos. La extensión del estudio de las lenguas oficiales sobre el caso string dos idiomas dimensionales o idiomas imagen ha sido de interés por mucho tiempo por sus vastas aplicaciones. En la tesis y el objeto de dos dimensiones más común estudiado es una imagen que es una matriz rectangular de símbolos tomados a partir de un alfabeto finito. E l objetivo de esta tesis se centra en el estudio de la generación de las clases de idiomas de imagen por las operaciones de bio-inspirados saber, `Empalme 'y` Auto-Asamblea' de ADN-Computing. A saber, sistema de empalme H-Array y sistemas de regla de mosaico. H-array Empalme Sistema es un formalismo bio-inspirado extendido desde H-empalme de la caja de cadena, un estudio ampliamente investigado introducido por T. Head. Está estructurado como un mecanismo mediante el estudio de las gramáticas lineales de dos dimensiones correctas. Este formalismo es un mecanismo que se aplica en el número finito de imágenes llamadas imágenes iniciales con determinado conjunto de reglas de empalme de dominó de columna y fila. El sitio de contexto en el que las dos imágenes se cortan en columnas y filas se decidió por la secuencia de dominós adyacentes en el conjunto de reglas. Y entonces el `pegar 'de la primera parte (o sub-array) de la imagen a la segunda parte de la imagen se realiza mediante la columna y fila concatenaciones respectivamente. El H-Array Empalme Sistemas se aplica sobre lenguas 2D-RLG generando idiomas Empalme H-Array (HASL). A continuación, las clases de restricciones definidas y de estudio son auto Cruz sobre matrices y lenguajes Empalme matriz simples y resultados incomparables se demostró con 2D-RLG, HASL. No son disjuntos y se cruzan lenguajes reconocibles. El segundo formalismo principal introducido y estudiado en la tesis son Revestimientos Sistema de reglas TRuS. Este formalismo genera la imagen por el conjunto de reglas de mosaico, montajes azulejos. Hemos demostrado que la clase de L (TS) (Sistema de alicatado, lenguaje reconocible) está contenida en la TRuS. Además, demostramos existen una construcción del formalismo basado en la generación de imágenes en filas o columnas que es equivalente a L (TS). La equivalencia se demuestra el uso de sistemas de Wang.Picture languages generated by Splicing and Assembling Tiles. The extension of the study of formal languages over string case to two dimensional languages or picture languages has been of interest for long for its vast applications. In the thesis and the most common two-dimensional object studied is a picture which is a rectangular array of symbols taken from a finite alphabet. T he objective of this thesis concentrates on the study of generation of Picture language classes by bio-inspired operations namely, `Splicing' and `Self-Assembly' of DNA-Computing. Namely, H-Array Splicing System and Tiling Rule Systems. H-array Splicing Systems is a bio-inspired formalism extended from H-Splicing from string case, a vastly investigated study introduced by T. Head. In particular it is structured as a mechanism by studying two-dimensional right linear grammars. In elaborate this formalism is a mechanism which is applied on finite number of pictures called initial pictures with given set of column and row domino splicing rules. The context site where the two pictures are cut in columns and rows are decided by the sequence of adjacent dominoes in the set of rules. And then the `pasting' of the first part (or sub-array) of the picture to the second part of the picture is done by column and row concatenations respectively. The H-Array Splicing Systems is applied over 2D-RLG languages generating H-Array Splicing languages (HASL). Then the restriction classes defined and study are Self Cross over Arrays and Simple Array Splicing languages and incomparable results are proved with 2D-RLG, HASL. They are not disjoint and they intersect Recognizable languages. Another and the second main formalism introduced and studied in the thesis is Tiling Rule System TRuS . This formalism generates picture by set of tiling rules, assembling tiles. We have proved that the class of L(TS) (Tiling System, recognizable language) is contained in TRuS . Also, we prove there exist a construct of the formalism based on generating pictures in rows or columns which is equivalent to L(TS). The equivalence is proved using Wang systems. Thus leading to an interesting notion of bio-inspired (self-assembling) operation to picture generation
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