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Book ALGORITHMES PARALLELES POUR LA SYNTHESE D IMAGE SUR MACHINES A MEMOIRE DISTRIBUEE

Download or read book ALGORITHMES PARALLELES POUR LA SYNTHESE D IMAGE SUR MACHINES A MEMOIRE DISTRIBUEE written by JIAN-JIN.. LI and published by . This book was released on 1992 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: CETTE THESE EST CONSACREE A L'ETUDE ET A LA CONCEPTION D'ALGORITHMES GRAPHIQUES PARALLELES SUR LES MACHINES MIMD A MEMOIRE DISTRIBUEE. APRES UNE ETUDE GENERALE SUR LES ARCHITECTURES PARALLELES ET LA PARALLELISATION DES ALGORITHMES GRAPHIQUES, NOUS DETAILLONS NOS TRAVAUX QUI ONT PORTE SUR PLUSIEURS THEMES DIFFERENTS: L'IMPLEMENTATION D'UN ALGORITHME DE RECONSTRUCTION TRIDIMENSIONNELLE SUR DIVERS MACHINES, A L'AIDE D'UN MODULE DE COMMUNICATION PPCM QUE NOUS AVONS DEVELOPPE POUR PALLIER A L'ABSENCE DE TOUT LANGAGE ET ENVIRONNEMENT STANDARD SUR LES MACHINES PARALLELES. ENSUITE, DEUX ALGORITHMES DE VISUALISATION DES DONNEES VOLUMIQUES ONT ETE PARALLELISES. LE Z-BUFFER EST PARALLELISE DE DEUX FACONS COMPLEMENTAIRES SUR UN SUPERNODE. DANS LA PREMIERE APPROCHE, LA SCENE EST DISTRIBUEE AUX PROCESSEURS CONFIGURES EN ARBRE. L'IMAGE EST PRODUITE DE MANIERE PIPELINEE. DANS LA DEUXIEME APPROCHE, L'IMAGE AUSSI BIEN QUE LA SCENE SONT DISTRIBUEES AUX PROCESSEURS CONNECTES EN ANNEAU. UNE REDISTRIBUTION DYNAMIQUE DES OBJETS EST ACCOMPLIE AVANT LA PROJECTION DES OBJETS. L'IMPLEMENTATION PARALLELE D'UN ALGORITHME DE VISUALISATION DIRECTE EST EFFECTUEE SUR UN HYPERCUBE IPSC860 AVEC UN ALGORITHME D'EQUILIBRAGE DYNAMIQUE DE TACHES. UN NOUVEAU MODELE D'ECLAIRAGE POUR LES DONNEES VOLUMIQUES EST EGALEMENT DEVELOPPE. UNE DISCUSSION SUR L'EQUILIBRAGE DES TACHES, LA DIMINUTION DU TEMPS DE COMMUNICATION EST MENEE A LA FIN DE CETTE THESE. DEUX ALGORITHMES DE MULTI-DISTRIBUTION SUR LE RESEAU CYCLES CONNECTES EN CUBE SONT DEVELOPPES AU COURS DE CETTE ETUDE. LES FORMULES DU TEMPS D'EXECUTION DE CES DEUX ALGORITHMES SONT AUSSI FOURNIES

Book Algorithmes parall  les pour la synth  se d image sur machines    m  moire distribu  e

Download or read book Algorithmes parall les pour la synth se d image sur machines m moire distribu e written by Jian-Jin Li and published by . This book was released on 1992 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cette thèse est consacrée à l'étude et à la conception d'algorithmes graphiques parallèles sur les machines MIMD à mémoire distribuée. Après une étude générale sur les architectures parallèles et la parallélisation des algorithmes graphiques, nous détaillons nos travaux qui ont porté sur plusieurs thèmes différents : l'implémentation d'un algorithme de reconstruction tridimensionnelle sur divers machines, à l'aide d'un module de communication PPCM que nous avons développé pour pallier à l'absence de tout langage et environnement standard sur les machines parallèles. Ensuite, deux algorithmes de visualisation des données volumiques ont été parallélisés. Le z-buffer est parallélisé de deux façons complémentaires sur un supernode. Dans la première approche, la scène est distribuée aux processeurs configurés en arbre. L'image est produite de manière pipelinée. Dans la deuxième approche, l'image aussi bien que la scène sont distribuées aux processeurs connectés en anneau. Une redistribution dynamique des objets est accomplie avant la projection des objets. L'implémentation parallèle d'un algorithme de visualisation directe est effectuée sur un hypercube IPSC860 avec un algorithme d'équilibrage dynamique de taches. Un nouveau modèle d'éclairage pour les données volumiques est également développé. Une discussion sur l'équilibrage des taches, la diminution du temps de communication est menée à la fin de cette thèse. Deux algorithmes de multi-distribution sur le réseau cycles connectés en cube sont développés au cours de cette étude. Les formules du temps d'exécution de ces deux algorithmes sont aussi fournies

Book Transputers  92

    Book Details:
  • Author : Monique Becker
  • Publisher : IOS Press
  • Release : 1992
  • ISBN : 9789051990812
  • Pages : 396 pages

Download or read book Transputers 92 written by Monique Becker and published by IOS Press. This book was released on 1992 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today's highly competitive environment, the transputer market provides Europe with a great number of important assets. From the first transputer with its four links and OCCAM language, which opened the door to a whole series of distributed memory machines, to the T9000 with the C104 and the standardization of software programs, progress in this field has come a long way.

Book Algorithmes parall  les pour la synth  se d image par radiosit   sur calculateur    m  moire distribu  e

Download or read book Algorithmes parall les pour la synth se d image par radiosit sur calculateur m moire distribu e written by Philippe Thomin and published by . This book was released on 1993 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Pour répondre à la demande d'utilisateurs de plus en plus nombreux, l'image de synthèse doit concilier deux aspects souvent contradictoires : le réalisme et l'interactivité. En termes de réalisme, les algorithmes de radiosité permettent, à l'heure actuelle, d'obtenir des résultats spectaculaires. Toutefois, en dépit d'optimisations algorithmiques drastiques, la production d'une image est encore au mieux une affaire de minutes et les ressources mémoire mobilisées sont considérables. Les limites actuelles doivent donc être franchies en augmentant la puissance des moyens matériels utilisés. Le travail présenté dans ce mémoire porte sur l'étude des algorithmes parallèles de radiosité sur calculateurs à mémoire distribuée. Les solutions proposées privilégient l'utilisation optimale des ressources mémoire réparties, ce qui leur permet de traiter des scènes très complexes. La réduction des coûts de communication et le travail en synchronisme des différents processeurs permettent alors de concilier les comportements temporels et dimensionnels des algorithmes définis. Une maquette, réalisée sur un réseau de transputers, a permis de valider cette approche et de préciser ses limites d'utilisation. Deux directions peuvent alors être explorées, l'une concernant l'amélioration du comportement temporel, l'autre visant à étendre les algorithmes proposés au traitement des surfaces spéculaires

Book Government Reports Announcements   Index

Download or read book Government Reports Announcements Index written by and published by . This book was released on 1991 with total page 856 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Technique Et Science Informatiques

Download or read book Technique Et Science Informatiques written by and published by . This book was released on 1991 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Programmation Dynamique Et Traitement D images Sur Machines Parall  les    M  moire Distribu  e

Download or read book Programmation Dynamique Et Traitement D images Sur Machines Parall les M moire Distribu e written by Serge Miguet and published by . This book was released on 1990 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nous étudions la mise en œuvre d'algorithmes parallèles sur des ordinateurs a mémoire distribuée. A travers plusieurs exemples issus de la programmation dynamique, de l'algèbre linéaire et du traitement d'images, nous exposons les problèmes lies a la programmation de ces machines: topologie d'interconnexion, stratégie d'allocation des données, équilibrage des calculs et minimisation du volume de communication inter-processeurs. Les exemples étudiés sont pour la plupart des algorithmes séquentiels couteux en temps de calcul et en place mémoire, et pour lesquels il est très intéressant d'avoir une parallélisation efficace. Nous avons choisi des problèmes dont l'implémentation sur des machines a mémoire distribuée n'est pas aisée, essentiellement a cause de la grande interdépendance entre les différentes taches composant les algorithmes

Book ALGORITHMES D AMINCISSEMENT D IMAGES SUR MACHINES PARALLELES

Download or read book ALGORITHMES D AMINCISSEMENT D IMAGES SUR MACHINES PARALLELES written by Stéphane Ubéda and published by . This book was released on 1993 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: LE THEME DE CE MEMOIRE EST L'ETUDE DE LA PARALLELISATION D'ALGORITHMES DE TRAITEMENT D'IMAGES. UNE OPERATION PARTICULIERE DU TRAITEMENT D'IMAGES EST RETENUE ET ETUDIEE EN DETAIL. LES ALGORITHMES EXISTANTS SONT COMPARES ET ANALYSES. L'ETUDE DE CETTE OPERATION EST ENSUITE REPRISE SOUS L'ANGLE DU PARALLELISME. LA PROCEDURE RETENUE EST CELLE D'AMINCISSEMENT D'IMAGE (OU THINNING). CETTE OPERATION EST BASEE SUR LA DEFINITION D'UN DESCRIPTEUR DE FORME DONNEE PAR H. BLUM EN 64. NOUS ABORDONS CE SUJET PAR LE BIAIS DE L'ALGORITHMIQUE PARALLELE. LA PROGRAMMATION DE MACHINES PARALLELES A MEMOIRE DISTRIBUEE ET A USAGE GENERAL EST NOTRE MODELE DE REFERENCE. DE NOUVEAUX OUTILS DE PARALLELISATION, AINSI QUE DE NOUVEAUX ALGORITHMES PARALLELES SONT PROPOSES. UNE ETUDE DE LA COMPLEXITE SEQUENTIELLE ET PARALLELE DU PROBLEME EST PROPOSEE

Book Etude de la parall  lisation de l algorithme du lancer de rayon en synth  se d images

Download or read book Etude de la parall lisation de l algorithme du lancer de rayon en synth se d images written by Wilfrid Lefer and published by . This book was released on 1992 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Dans le domaine de la synthèse d'images, le lancer de rayon est un algorithme permettant de prendre en compte divers effets lumineux. Cependant il présente l'inconvénient d'être extrêmement coûteux en temps de calcul. Le recours au parallélisme doit permettre de diminuer de façon significative le temps de calcul des images. Ce document présente une étude du problème de la parallélisation de l'algorithme du lancer de rayon. Après quelques rappels sur les domaines étudiés, synthèse d'images et parallélisme, suivis d'un état de l'art, une solution originale pour le problème de l'équilibrage de la charge de calcul des différents processeurs est proposée. Celle-ci, appelée méthode de rééquilibrage dynamique de la charge, repose sur la combinaison de deux types de parallélisme : parallélisme des données et parallélisme des tâches. La gestion de la répartition du travail entre les différents processeurs s'effectue de façon complètement dynamique, en cours de traitement. Bien que conçu pour toute une famille de machines parallèles, les réseaux de processeurs à mémoire distribuée, L'algorithme a été implanté sur un réseau de transputers. Des mesures de performances sont présentées et une comparaison est effectuée avec les solutions les plus performantes du moment.

Book Science and Empires

    Book Details:
  • Author : P. Petitjean
  • Publisher : Springer Science & Business Media
  • Release : 2012-12-06
  • ISBN : 9401125945
  • Pages : 419 pages

Download or read book Science and Empires written by P. Petitjean and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: SCIENCE AND EMPIRES: FROM THE INTERNATIONAL COLLOQUIUM TO THE BOOK Patrick PETITJEAN, Catherine JAMI and Anne Marie MOULIN The International Colloquium "Science and Empires - Historical Studies about Scientific De velopment and European Expansion" is the product of an International Colloquium, "Sciences and Empires - A Comparative History of Scien tific Exchanges: European Expansion and Scientific Development in Asian, African, American and Oceanian Countries". Organized by the REHSEIS group (Research on Epistemology and History of Exact Sciences and Scientific Institutions) of CNRS (National Center for Scientific Research), the colloquium was held from 3 to 6 April 1990 in the UNESCO building in Paris. This colloquium was an idea of Professor Roshdi Rashed who initiated this field of studies in France some years ago, and proposed "Sciences and Empires" as one of the main research programmes for the The project to organize such a colloquium was a bit REHSEIS group. of a gamble. Its subject, reflected in the title "Sciences and Empires", is not a currently-accepted sub-discipline of the history of science; rather, it refers to a set of questions which found autonomy only recently. The terminology was strongly debated by the participants and, as is frequently suggested in this book, awaits fuller clarification.

Book Patterns for Parallel Programming

Download or read book Patterns for Parallel Programming written by Timothy G. Mattson and published by Pearson Education. This book was released on 2004-09-15 with total page 786 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Parallel Programming Guide for Every Software Developer From grids and clusters to next-generation game consoles, parallel computing is going mainstream. Innovations such as Hyper-Threading Technology, HyperTransport Technology, and multicore microprocessors from IBM, Intel, and Sun are accelerating the movement's growth. Only one thing is missing: programmers with the skills to meet the soaring demand for parallel software. That's where Patterns for Parallel Programming comes in. It's the first parallel programming guide written specifically to serve working software developers, not just computer scientists. The authors introduce a complete, highly accessible pattern language that will help any experienced developer "think parallel"-and start writing effective parallel code almost immediately. Instead of formal theory, they deliver proven solutions to the challenges faced by parallel programmers, and pragmatic guidance for using today's parallel APIs in the real world. Coverage includes: Understanding the parallel computing landscape and the challenges faced by parallel developers Finding the concurrency in a software design problem and decomposing it into concurrent tasks Managing the use of data across tasks Creating an algorithm structure that effectively exploits the concurrency you've identified Connecting your algorithmic structures to the APIs needed to implement them Specific software constructs for implementing parallel programs Working with today's leading parallel programming environments: OpenMP, MPI, and Java Patterns have helped thousands of programmers master object-oriented development and other complex programming technologies. With this book, you will learn that they're the best way to master parallel programming too.

Book Predicting Structured Data

    Book Details:
  • Author : Neural Information Processing Systems Foundation
  • Publisher : MIT Press
  • Release : 2007
  • ISBN : 0262026171
  • Pages : 361 pages

Download or read book Predicting Structured Data written by Neural Information Processing Systems Foundation and published by MIT Press. This book was released on 2007 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: State-of-the-art algorithms and theory in a novel domain of machine learning, prediction when the output has structure.

Book Quantum Mechanics  Volume 3

    Book Details:
  • Author : Claude Cohen-Tannoudji
  • Publisher : John Wiley & Sons
  • Release : 2019-12-16
  • ISBN : 3527345558
  • Pages : 790 pages

Download or read book Quantum Mechanics Volume 3 written by Claude Cohen-Tannoudji and published by John Wiley & Sons. This book was released on 2019-12-16 with total page 790 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new, third volume of Cohen-Tannoudji's groundbreaking textbook covers advanced topics of quantum mechanics such as uncorrelated and correlated identical particles, the quantum theory of the electromagnetic field, absorption, emission and scattering of photons by atoms, and quantum entanglement. Written in a didactically unrivalled manner, the textbook explains the fundamental concepts in seven chapters which are elaborated in accompanying complements that provide more detailed discussions, examples and applications. * Completing the success story: the third and final volume of the quantum mechanics textbook written by 1997 Nobel laureate Claude Cohen-Tannoudji and his colleagues Bernard Diu and Franck Laloë * As easily comprehensible as possible: all steps of the physical background and its mathematical representation are spelled out explicitly * Comprehensive: in addition to the fundamentals themselves, the books comes with a wealth of elaborately explained examples and applications Claude Cohen-Tannoudji was a researcher at the Kastler-Brossel laboratory of the Ecole Normale Supérieure in Paris where he also studied and received his PhD in 1962. In 1973 he became Professor of atomic and molecular physics at the Collège des France. His main research interests were optical pumping, quantum optics and atom-photon interactions. In 1997, Claude Cohen-Tannoudji, together with Steven Chu and William D. Phillips, was awarded the Nobel Prize in Physics for his research on laser cooling and trapping of neutral atoms. Bernard Diu was Professor at the Denis Diderot University (Paris VII). He was engaged in research at the Laboratory of Theoretical Physics and High Energy where his focus was on strong interactions physics and statistical mechanics. Franck Laloë was a researcher at the Kastler-Brossel laboratory of the Ecole Normale Supérieure in Paris. His first assignment was with the University of Paris VI before he was appointed to the CNRS, the French National Research Center. His research was focused on optical pumping, statistical mechanics of quantum gases, musical acoustics and the foundations of quantum mechanics.

Book Readings in Distributed Artificial Intelligence

Download or read book Readings in Distributed Artificial Intelligence written by Alan H. Bond and published by Morgan Kaufmann. This book was released on 2014-06-05 with total page 668 pages. Available in PDF, EPUB and Kindle. Book excerpt: Most artificial intelligence research investigates intelligent behavior for a single agent--solving problems heuristically, understanding natural language, and so on. Distributed Artificial Intelligence (DAI) is concerned with coordinated intelligent behavior: intelligent agents coordinating their knowledge, skills, and plans to act or solve problems, working toward a single goal, or toward separate, individual goals that interact. DAI provides intellectual insights about organization, interaction, and problem solving among intelligent agents. This comprehensive collection of articles shows the breadth and depth of DAI research. The selected information is relevant to emerging DAI technologies as well as to practical problems in artificial intelligence, distributed computing systems, and human-computer interaction. "Readings in Distributed Artificial Intelligence" proposes a framework for understanding the problems and possibilities of DAI. It divides the study into three realms: the natural systems approach (emulating strategies and representations people use to coordinate their activities), the engineering/science perspective (building automated, coordinated problem solvers for specific applications), and a third, hybrid approach that is useful in analyzing and developing mixed collections of machines and human agents working together. The editors introduce the volume with an important survey of the motivations, research, and results of work in DAI. This historical and conceptual overview combines with chapter introductions to guide the reader through this fascinating field. A unique and extensive bibliography is also provided.

Book An Introduction to Computational Learning Theory

Download or read book An Introduction to Computational Learning Theory written by Michael J. Kearns and published by MIT Press. This book was released on 1994-08-15 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: Emphasizing issues of computational efficiency, Michael Kearns and Umesh Vazirani introduce a number of central topics in computational learning theory for researchers and students in artificial intelligence, neural networks, theoretical computer science, and statistics. Emphasizing issues of computational efficiency, Michael Kearns and Umesh Vazirani introduce a number of central topics in computational learning theory for researchers and students in artificial intelligence, neural networks, theoretical computer science, and statistics. Computational learning theory is a new and rapidly expanding area of research that examines formal models of induction with the goals of discovering the common methods underlying efficient learning algorithms and identifying the computational impediments to learning. Each topic in the book has been chosen to elucidate a general principle, which is explored in a precise formal setting. Intuition has been emphasized in the presentation to make the material accessible to the nontheoretician while still providing precise arguments for the specialist. This balance is the result of new proofs of established theorems, and new presentations of the standard proofs. The topics covered include the motivation, definitions, and fundamental results, both positive and negative, for the widely studied L. G. Valiant model of Probably Approximately Correct Learning; Occam's Razor, which formalizes a relationship between learning and data compression; the Vapnik-Chervonenkis dimension; the equivalence of weak and strong learning; efficient learning in the presence of noise by the method of statistical queries; relationships between learning and cryptography, and the resulting computational limitations on efficient learning; reducibility between learning problems; and algorithms for learning finite automata from active experimentation.

Book The Nature of Statistical Learning Theory

Download or read book The Nature of Statistical Learning Theory written by Vladimir Vapnik and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this book is to discuss the fundamental ideas which lie behind the statistical theory of learning and generalization. It considers learning as a general problem of function estimation based on empirical data. Omitting proofs and technical details, the author concentrates on discussing the main results of learning theory and their connections to fundamental problems in statistics. This second edition contains three new chapters devoted to further development of the learning theory and SVM techniques. Written in a readable and concise style, the book is intended for statisticians, mathematicians, physicists, and computer scientists.