1) The document discusses shortest path algorithms and their application to traffic assignment problems, comparing the performance of CPU vs GPU implementations.
2) It finds that GPU implementations can be 45x faster than CPU for problems with massive parallelizable data like traffic simulations.
3) However, GPU programming requires more specialized knowledge and hardware restrictions limit accessibility, while CPU remains more flexible but less optimized for large datasets.
CPUs have multiple cores and are suited for a variety of tasks requiring low latency, while GPUs have many smaller cores optimized for parallel processing. GPUs can perform thousands of basic operations simultaneously. Though CPUs and GPUs both process data, CPUs are designed for serial tasks and general computing while GPUs are specialized for graphics processing and parallel tasks like those in AI and supercomputing. Efficient parallel processing is what allows GPUs to outperform CPUs for certain applications.
This document provides a tutorial introduction to GPGPU computation using NVIDIA CUDA. It begins with a brief overview and warnings about the large numbers involved in GPGPU. The agenda then outlines topics to be covered including general purpose GPU computing using CUDA and optimization topics like memory bandwidth optimization. Key aspects of CUDA programming are introduced like the CUDA memory model, compute capabilities of GPUs, and profiling tools. Examples are provided of simple CUDA kernels and how to configure kernel launches for grids and blocks of threads. Optimization techniques like choosing block/grid sizes to maximize occupancy are also discussed.
The document discusses graphics processing units (GPUs). It provides three key points:
1. A GPU is a specialized microprocessor that accelerates the rendering of 2D and 3D graphics. It allows for faster drawing of polygons, textures, and images to improve rendering speed.
2. GPUs were originally developed in the 1990s by Nvidia and helped popularize 3D graphics. Modern GPUs contain hundreds of processing cores and have memory bandwidths up to 230GB/s.
3. GPUs are used across many devices from embedded systems and mobile phones to PCs and game consoles. They accelerate graphics tasks through parallel processing compared to conventional CPUs.
The document provides an overview of graphics processing units (GPUs). It defines a GPU as a dedicated processor for computer graphics that contains hundreds of parallel execution units tailored for graphics processing. The document compares GPUs to CPUs, describing how GPUs have many parallel units while CPUs operate serially. It outlines the typical architecture of a GPU, including its pipeline from vertex processing to pixel processing to memory storage. The document also discusses how GPUs interact with CPUs and their use of dedicated video memory.
Shared Memory Centric Computing with CXL & OMIAllan Cantle
Discusses how CXL can be better utilized as a separate Fabric Cache domain to a processors own Local Cache Domain. This is done by leveraging a Shared Memory Centric architectures that utilize both the Open Memory Interface OMI, and Compute eXpress Link, CXL, for the memory ports.
Tipos de Dados Multimédia e Formatos Standardgizinho
Este documento descreve os principais tipos de dados multimédia: texto, gráficos, imagens, áudio, animações e vídeo. Detalha os formatos padrão mais usados para armazenar cada tipo de dados, como DOC, JPEG, MP3 e AVI. Também explica que os dados multimédia podem ser estáticos ou dinâmicos, e capturados ou sintetizados de acordo com sua origem e natureza espaço-temporal.
1) The document discusses shortest path algorithms and their application to traffic assignment problems, comparing the performance of CPU vs GPU implementations.
2) It finds that GPU implementations can be 45x faster than CPU for problems with massive parallelizable data like traffic simulations.
3) However, GPU programming requires more specialized knowledge and hardware restrictions limit accessibility, while CPU remains more flexible but less optimized for large datasets.
CPUs have multiple cores and are suited for a variety of tasks requiring low latency, while GPUs have many smaller cores optimized for parallel processing. GPUs can perform thousands of basic operations simultaneously. Though CPUs and GPUs both process data, CPUs are designed for serial tasks and general computing while GPUs are specialized for graphics processing and parallel tasks like those in AI and supercomputing. Efficient parallel processing is what allows GPUs to outperform CPUs for certain applications.
This document provides a tutorial introduction to GPGPU computation using NVIDIA CUDA. It begins with a brief overview and warnings about the large numbers involved in GPGPU. The agenda then outlines topics to be covered including general purpose GPU computing using CUDA and optimization topics like memory bandwidth optimization. Key aspects of CUDA programming are introduced like the CUDA memory model, compute capabilities of GPUs, and profiling tools. Examples are provided of simple CUDA kernels and how to configure kernel launches for grids and blocks of threads. Optimization techniques like choosing block/grid sizes to maximize occupancy are also discussed.
The document discusses graphics processing units (GPUs). It provides three key points:
1. A GPU is a specialized microprocessor that accelerates the rendering of 2D and 3D graphics. It allows for faster drawing of polygons, textures, and images to improve rendering speed.
2. GPUs were originally developed in the 1990s by Nvidia and helped popularize 3D graphics. Modern GPUs contain hundreds of processing cores and have memory bandwidths up to 230GB/s.
3. GPUs are used across many devices from embedded systems and mobile phones to PCs and game consoles. They accelerate graphics tasks through parallel processing compared to conventional CPUs.
The document provides an overview of graphics processing units (GPUs). It defines a GPU as a dedicated processor for computer graphics that contains hundreds of parallel execution units tailored for graphics processing. The document compares GPUs to CPUs, describing how GPUs have many parallel units while CPUs operate serially. It outlines the typical architecture of a GPU, including its pipeline from vertex processing to pixel processing to memory storage. The document also discusses how GPUs interact with CPUs and their use of dedicated video memory.
Shared Memory Centric Computing with CXL & OMIAllan Cantle
Discusses how CXL can be better utilized as a separate Fabric Cache domain to a processors own Local Cache Domain. This is done by leveraging a Shared Memory Centric architectures that utilize both the Open Memory Interface OMI, and Compute eXpress Link, CXL, for the memory ports.
Tipos de Dados Multimédia e Formatos Standardgizinho
Este documento descreve os principais tipos de dados multimédia: texto, gráficos, imagens, áudio, animações e vídeo. Detalha os formatos padrão mais usados para armazenar cada tipo de dados, como DOC, JPEG, MP3 e AVI. Também explica que os dados multimédia podem ser estáticos ou dinâmicos, e capturados ou sintetizados de acordo com sua origem e natureza espaço-temporal.
O documento descreve a evolução e classificação dos sistemas operacionais, incluindo: 1) as gerações dos sistemas desde painéis de programação até sistemas distribuídos; 2) os tipos de sistemas como monotarefa, multitarefa, tempo real e distribuídos; 3) as características dos sistemas com múltiplas CPUs.
O documento discute os conceitos básicos de informática, incluindo o que é um computador, como ele funciona e suas principais partes. Descreve os componentes internos e externos de um computador, como a unidade central de processamento, memória, placa-mãe, monitor, teclado e mouse. Também explica o que é um sistema operacional e menciona o Windows.
Introdução ao Projeto de Plataformas de Software: o quê, por que, comoRodrigo Reis
Este documento introduz o conceito de plataformas de software, discutindo o que é uma plataforma, por que são importantes e como projetá-las. Uma plataforma é definida como um ambiente de software que permite que terceiros criem aplicações acessando dados através de APIs. Plataformas são importantes pois permitem maior velocidade de desenvolvimento e mudam o paradigma de negócios para um modelo pull. Para projetar uma plataforma, deve-se identificar oportunidades, focar inicialmente em poucas APIs essenciais e consider
This document discusses GPU architecture and functioning. It defines a GPU as a processor optimized for graphics, video and visual computing. GPUs are highly parallel and multithreaded. The document outlines the evolution of GPUs from specialized graphics cards to massively parallel processors capable of general purpose computing. It describes the GPU pipeline including host interface, vertex processing, triangle setup, fragment processing and memory interface. It also discusses programming models like CUDA and differences between CPUs and GPUs.
O documento discute os principais componentes e funções de um sistema operacional, incluindo o shell, kernel, processos, gerenciamento de memória e processador. O kernel é responsável por gerenciar os recursos do sistema operacional como arquivos, dispositivos, memória e processador.
During the CXL Forum at OCP Global Summit, MemVerge software architect Steve Scargall defines the CXL software stack and where the development is being done.
Sistemas operacionais de computadores de grande portetiagohinke
O documento descreve sistemas operacionais para computadores de grande porte como mainframes, que realizam processamento em larga escala para milhares de usuários. Mainframes antigos ainda são usados por grandes empresas, e requerem instalações especiais com monitoramento, segurança e armazenamento em terabytes. Sistemas operacionais como MVS e z/OS foram desenvolvidos para tratar centenas de trabalhos simultaneamente nesses computadores.
DDN GS7K - Easy-to-deploy, High Performance Scale-Out Parallel File System Ap...inside-BigData.com
In this deckt, Uday Mohan from DataDirect Networks presents: DDN GS7K - Easy-to-deploy, High Performance Scale-Out Parallel File System Appliance.
High performance computing is critical in commercial markets, spanning a wide range of applications across multiple industries, and this trend is only growing. The GS7K from DDN will help bring the latest high-performance storage technologies to more of these markets, connecting companies to their next innovations faster while satisfying their enterprise standards.”
Watch the video presentation: http://wp.me/p3RLHQ-d99
This document discusses parallel computing with GPUs. It introduces parallel computing, GPUs, and CUDA. It describes how GPUs are well-suited for data-parallel applications due to their large number of cores and throughput-oriented design. The CUDA programming model is also summarized, including how kernels are launched on the GPU from the CPU. Examples are provided of simple CUDA programs to perform operations like squaring elements in parallel on the GPU.
O documento discute os principais componentes de um computador, incluindo hardware, software e firmware. Também explica como os dados são processados e armazenados no computador e transformados em informação através de programas.
O documento contém 10 questões sobre componentes de hardware de computadores e tipos de memória. As questões abordam memória RAM, memória cache, BIOS armazenada em ROM, programas carregados na memória RAM para execução e leitor de código de barras como dispositivo de entrada.
O documento discute os principais componentes de hardware e software de um computador. Inclui descrições dos componentes físicos como a unidade central de processamento e memória e conceitos como sistemas operacionais e tipos de softwares. Também fornece recomendações sobre ergonomia ao usar computadores.
This document provides an introduction to parallel programming using GPUs. It outlines the hardware architecture of GPUs, which have hundreds of cores optimized for processing pixels in parallel. It then discusses CUDA programming, with examples of initializing the GPU, allocating and transferring memory, executing kernels, and common applications in physics, finance, and other fields. The document concludes by discussing the sparse conjugate gradient method for inverting matrices on the GPU as an example application in computational physics.
Graphics processing units (GPUs) are increasingly being used for general-purpose computing applications due to their highly parallel and programmable nature. GPU computing uses the GPU alongside the CPU in a heterogeneous model, with the sequential CPU portion handling control flow and passing data to the GPU for parallel intensive computations. GPUs have evolved from fixed-function processors into fully programmable parallel processors. Many applications that require large amounts of parallelism and throughput can benefit from offloading work to the GPU. GPU architectures provide a high degree of parallelism through multiple stream processors that can execute the same instructions on different data sets. Software environments like CUDA and OpenCL allow general-purpose programming of GPUs for applications beyond graphics. Future improvements may include
O documento apresenta um conjunto de exercícios sobre arquitetura e organização de computadores para uma disciplina na área de tecnologia em análise e desenvolvimento de sistemas. Os exercícios incluem identificar componentes de unidades básicas de um computador, escolher a alternativa correta para completar uma afirmação sobre a máquina de von Neumann e indicar o objetivo da memória cache.
O documento discute os conceitos de computação gráfica, apresentando seus usos diversos na sociedade atual e exemplos como identidade visual, impressos, embalagens, multimídia e design. Também explica as diferenças entre imagens vetoriais e em pixel, formatos de arquivo e cores CMYK e RGB.
O documento descreve a evolução e classificação dos sistemas operacionais, incluindo: 1) as gerações dos sistemas desde painéis de programação até sistemas distribuídos; 2) os tipos de sistemas como monotarefa, multitarefa, tempo real e distribuídos; 3) as características dos sistemas com múltiplas CPUs.
O documento discute os conceitos básicos de informática, incluindo o que é um computador, como ele funciona e suas principais partes. Descreve os componentes internos e externos de um computador, como a unidade central de processamento, memória, placa-mãe, monitor, teclado e mouse. Também explica o que é um sistema operacional e menciona o Windows.
Introdução ao Projeto de Plataformas de Software: o quê, por que, comoRodrigo Reis
Este documento introduz o conceito de plataformas de software, discutindo o que é uma plataforma, por que são importantes e como projetá-las. Uma plataforma é definida como um ambiente de software que permite que terceiros criem aplicações acessando dados através de APIs. Plataformas são importantes pois permitem maior velocidade de desenvolvimento e mudam o paradigma de negócios para um modelo pull. Para projetar uma plataforma, deve-se identificar oportunidades, focar inicialmente em poucas APIs essenciais e consider
This document discusses GPU architecture and functioning. It defines a GPU as a processor optimized for graphics, video and visual computing. GPUs are highly parallel and multithreaded. The document outlines the evolution of GPUs from specialized graphics cards to massively parallel processors capable of general purpose computing. It describes the GPU pipeline including host interface, vertex processing, triangle setup, fragment processing and memory interface. It also discusses programming models like CUDA and differences between CPUs and GPUs.
O documento discute os principais componentes e funções de um sistema operacional, incluindo o shell, kernel, processos, gerenciamento de memória e processador. O kernel é responsável por gerenciar os recursos do sistema operacional como arquivos, dispositivos, memória e processador.
During the CXL Forum at OCP Global Summit, MemVerge software architect Steve Scargall defines the CXL software stack and where the development is being done.
Sistemas operacionais de computadores de grande portetiagohinke
O documento descreve sistemas operacionais para computadores de grande porte como mainframes, que realizam processamento em larga escala para milhares de usuários. Mainframes antigos ainda são usados por grandes empresas, e requerem instalações especiais com monitoramento, segurança e armazenamento em terabytes. Sistemas operacionais como MVS e z/OS foram desenvolvidos para tratar centenas de trabalhos simultaneamente nesses computadores.
DDN GS7K - Easy-to-deploy, High Performance Scale-Out Parallel File System Ap...inside-BigData.com
In this deckt, Uday Mohan from DataDirect Networks presents: DDN GS7K - Easy-to-deploy, High Performance Scale-Out Parallel File System Appliance.
High performance computing is critical in commercial markets, spanning a wide range of applications across multiple industries, and this trend is only growing. The GS7K from DDN will help bring the latest high-performance storage technologies to more of these markets, connecting companies to their next innovations faster while satisfying their enterprise standards.”
Watch the video presentation: http://wp.me/p3RLHQ-d99
This document discusses parallel computing with GPUs. It introduces parallel computing, GPUs, and CUDA. It describes how GPUs are well-suited for data-parallel applications due to their large number of cores and throughput-oriented design. The CUDA programming model is also summarized, including how kernels are launched on the GPU from the CPU. Examples are provided of simple CUDA programs to perform operations like squaring elements in parallel on the GPU.
O documento discute os principais componentes de um computador, incluindo hardware, software e firmware. Também explica como os dados são processados e armazenados no computador e transformados em informação através de programas.
O documento contém 10 questões sobre componentes de hardware de computadores e tipos de memória. As questões abordam memória RAM, memória cache, BIOS armazenada em ROM, programas carregados na memória RAM para execução e leitor de código de barras como dispositivo de entrada.
O documento discute os principais componentes de hardware e software de um computador. Inclui descrições dos componentes físicos como a unidade central de processamento e memória e conceitos como sistemas operacionais e tipos de softwares. Também fornece recomendações sobre ergonomia ao usar computadores.
This document provides an introduction to parallel programming using GPUs. It outlines the hardware architecture of GPUs, which have hundreds of cores optimized for processing pixels in parallel. It then discusses CUDA programming, with examples of initializing the GPU, allocating and transferring memory, executing kernels, and common applications in physics, finance, and other fields. The document concludes by discussing the sparse conjugate gradient method for inverting matrices on the GPU as an example application in computational physics.
Graphics processing units (GPUs) are increasingly being used for general-purpose computing applications due to their highly parallel and programmable nature. GPU computing uses the GPU alongside the CPU in a heterogeneous model, with the sequential CPU portion handling control flow and passing data to the GPU for parallel intensive computations. GPUs have evolved from fixed-function processors into fully programmable parallel processors. Many applications that require large amounts of parallelism and throughput can benefit from offloading work to the GPU. GPU architectures provide a high degree of parallelism through multiple stream processors that can execute the same instructions on different data sets. Software environments like CUDA and OpenCL allow general-purpose programming of GPUs for applications beyond graphics. Future improvements may include
O documento apresenta um conjunto de exercícios sobre arquitetura e organização de computadores para uma disciplina na área de tecnologia em análise e desenvolvimento de sistemas. Os exercícios incluem identificar componentes de unidades básicas de um computador, escolher a alternativa correta para completar uma afirmação sobre a máquina de von Neumann e indicar o objetivo da memória cache.
O documento discute os conceitos de computação gráfica, apresentando seus usos diversos na sociedade atual e exemplos como identidade visual, impressos, embalagens, multimídia e design. Também explica as diferenças entre imagens vetoriais e em pixel, formatos de arquivo e cores CMYK e RGB.
Este documento presenta un taller sobre conjuntos y relaciones matemáticas. Incluye ejemplos de operaciones entre conjuntos como uniones, intersecciones y diferencias. También incluye ejemplos de consultas SQL sobre tablas de empleados y cargos relacionadas.
This document contains information about a discrete mathematics workshop on propositional logic held in September 2015 in Bogotá, Colombia. It lists the names of five students and one professor from Universidad ECCI who participated in the workshop. The workshop materials contain several logic formulae and problems about propositional logic, contingency, functional completeness, and truth tables.
Anja Kempermann offers freelance staffing services to provide solutions for projects and events. She has 20 years of experience in event management, marketing, and coordination. Her services include project coordination, event management for sports events, fairs, and private occasions, developing website and marketing concepts, and travel management.
Mr. Favors has extensive experience in education and the military. He holds a Masters of Education in Administration from Xavier University and a Masters of Arts in Teaching from Northern Kentucky University. Mr. Favors served 12 years in the US Army, including time in the Gulf War, and received an Army Commendation Medal for his service.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
Karim Assili obtained his Bachelor's Degree in Architecture with honors in 2014 and has over 10 years of experience working on architectural and BIM projects in France, Saudi Arabia, Tunisia, and Chad. He has worked as a BIM Manager and BIM Architect on various project types including residential buildings, stadiums, government buildings, and more. Assili has strong technical skills in BIM software such as Revit and is proficient in several design, modeling, rendering, and project management tools.
O valor da informação e a Cloud - Tendências e pesquisasJosé Faria
O documento discute as tendências da gestão da informação e como as empresas podem tirar melhor proveito de suas informações. Primeiramente, destaca incidentes reais que demonstraram como as informações são valiosas para as organizações e como falhas podem ser caras. Em seguida, explica como a economia digital valoriza cada vez mais a informação e como empresas de tecnologia bilionárias são construídas a partir dela. Por fim, apresenta tendências como a nuvem, análise de dados e colaboração que podem ajudar as empresas a melhor gerenciar suas inform
Lagartera Recogida de Firmas Fibra Optica Internet 16_100Lagartera TV
El Ayuntamiento de Lagartera está recolectando firmas para solicitar a Telefónica que despliegue fibra óptica FTTH en el municipio, lo que permitiría a los residentes acceder a una mayor velocidad y calidad en la transmisión de datos. Las hojas de recogida de firmas estarán disponibles en el Ayuntamiento y otros lugares públicos de Lagartera entre el 1 y el 31 de marzo, para que juntos puedan conseguir la inclusión del pueblo en el plan de despliegue de Telefónica.
Revit Structure 2016 The Complete Guide (Flexible)Pradeep Bhardwaj
This certificate of completion was awarded to Pradeep Bhardwaj for successfully completing Revit Structure 2016 The Complete Guide (Flexible) training on February 3rd, 2016.
Presented by Maria Elena B. San Jose, MPA, Coastal Management Coordinator of the Provincial Environment Management Office during the Seminar on Environmental Laws and Enforcement for the Police Environment Desk Officers and Members of Task Force Ilahas. The said seminar was attended by 75 participants held at the Goverrnor's Hall, Capitol Building, Bacolod City, Negros Occidental on 18-19 September 2013.
Planification des travaux 2014 PJCCI aux ponts Champlain et Jacques-Cartier, ainsi qu’au niveau des sections fédérales de l’autoroute 15, de l’autoroute Bonaventure et du pont Honoré-Mercier.
Le BIM part du postulat suivant :
un objet n’a pas seulement 3
dimensions, comme on pourrait
le penser, mais il fait partie d’une
base de données enrichie qui lui en
confère davantage. » notait Florian
Pouilly, lors de son intervention au
dernier congrès Untec.
BtoBIM 2017 - Atelier : Quels outils pour les TPE/PME pour un projet en BIM ?Novabuild
• Quels super-pouvoirs pour un projet en BIM ?
Est-ce que je dois acheter un logiciel de conception de maquette ? Comment la visualiser ? Comment interagir avec ? Est-ce qu'il existe des outils gratuits ? Présentation de la plateforme publique KROQI pour travailler sur un projet BIM
Par Anne MANIER, A2M Conseil - Vivien DANSAC, CSTB (KROQI)
BtoBIM 2018 - Table-ronde : Le BIM sur Chantier accessible à tous ?Novabuild
Comment utiliser la maquette sur chantier ? Comment la lire ? Comment la visionner ? Pour quels usages et pour quels métiers ? Comment organiser des chantiers avec l'utilisation de la 4D ? Comment passer du DCE Numérique au DOE Numérique ?
• Thibault BOURDEL, buildingSMART France Mediaconstruct, AREP
• Anne MANIER, A2M Conseil
• Anne-Solène DRIS, VCF OUEST
• Karim BOUREGUIG, BIM CLOISONS
Le BIM WORLD 2016 était l’évènement BIM à ne pas manquer. Les équipes d’AREP et PARVIS étaient présentes sur le salon, dans les salles de conférences et parmi les stands.
Partie 4/5 du CR BIMWorld AREP :
3D & IoT:
Améliorer la promotion, la commercialisation, la construction et l’équipement grâce aux technologies 3D.
Concevoir des bâtiments intégrant l’Internet des Objets dans leur fonctionnement.
BIM : comment traitier, dans la maquette numérique le béton, à la fois produ...Michel Roche
Quel est le rôle de l'objet BIM dans la maquette numérique ? L'objet BIM générique et l'objet industriel. Comment faire passer l'innovation dans la démarche BIM ? La pratique du BIM chez Eiffage, Vinci, Jousselin, GA. Sogea Nord-Ouest. Le rôle des logiciels spécialisés ?
Dossier paru dans Béton[s] Le Magazine N°76
Le BIM WORLD 2016 était l’évènement BIM à ne pas manquer. Les équipes d’AREP et PARVIS étaient présentes sur le salon, dans les salles de conférences et parmi les stands.
Partie 1/5 du CR BIMWorld AREP :
Transition :
Politiques nationales, développement des compétences, modernisation des métiers et nouveaux modèles économiques
BtoBIM 2018 - Table-ronde : Le BIM Exploitation pour valoriser son patrimoineNovabuild
Le BIM Conception du terrain dans les projets. Comment organiser les projets BIM dès la commande afin d'arriver à des applications pertinentes pendant l'exploitation des bâtiments ? Comment passer d'un DOE Numérique à un référentiel d'exploitation en BIM ?
• Benoit VERVANDIER, buildingSMART France - Meidaconstruct
• Jean WILLIAMSON, Région Pays de la Loire
• Mathieu RIGAUD, VINCI FACILITIES
• Elise GENDRE, Artelia Bâtiment et Industrie
Presentation faite le 27 mars 2015 pour une journée de le cadre de REUNION REGIONALE I. H. F.
Région : Rhône Alpes
Vendredi 27 Mars 2015
Au C.H.U. de GRENOBLE
Organisée par Didier BOUVARD Délégué régional
Le BIM WORLD 2016 était l’évènement BIM à ne pas manquer. Les équipes d’AREP et PARVIS étaient présentes sur le salon, dans les salles de conférences et parmi les stands.
Partie 3/5 du CR BIMWorld AREP :
Collaboratif :
Réorganiser la conception / réalisation autour de la maquette numérique du projet à la livraison
[Archive- Laval 2006] Rapport de stage de Master - Nautilus Florent Michel
Rapport de stage développement réalité virtuelle. Stage de 5 mois effectué dans la société Nautilus - Laval.
Ce rapport est centré sur un retour d'expérience de ma mission de développement d'un simulateur de trot attelé qui a été présenté au public au Salon Laval Virtuel en 2006 puis dans une dizaine de salons à travers la france.
[Archive- Laval 2006] Rapport de stage de Master - Nautilus
cv 06-10-2016 (2)
1. ASSILI KARIM
BIM Architect – Autodesk Recap Designer
EXPERIENCE PROFESSIONNELLE
Arabe
Français
Anglais
Allemand
Espagnol
ASSILI Karim
Adresse
Cite Taieb Mhiri
Rades , Tunisie
INFO
GSM
00216- 58 65 36 10
Email
assiliarchitecte@gmail.com
Site web
http://assiliarchitecte.wi
xsite.com/bim-manager
LANGUES
Distinction
- Concours NASA challenge
- 1 er prix Concours API
- 2 eme prix Concours ENIT
- Olympiade de mathematique
2015-Présent AMEL GROUPE
Actuellement je travaille pour la société
française AMEL GROUPE en tant que BIM
spécialiste.
Je suis responsable de créer les familles
paramétriques de revit ,contrôler les projets
en élaborant des script Dynamo , élaborer
les carnets des détails et modéliser les
formes complexe du projets ainsi que les
conventions BIM et la chartes BIM de la
société .
Pendant ce temps j’ai réussi à travailler sur
des projets de logements collectifs en France
tels que :
Le projet PLESSIS ROBINSON
Le projet VILLE DE BOIS
Le projet CLAMART
Le projet EGLY
Le projet DIGNES LES BAINS
Le projet TIGERY
En tant que BIM architect je suis redevable
de maintenir la bonne méthode de travail
pour chaque projet afin d’élaborer la
maquette numérique BIM d’une manière
collaborative .
2014-2015 BIM experts
J’ai commencé à pratiquer le BIM réellement
avec BIM experts , J’ai appris les notions de
base , la manière de planifier, créer et gérer
les infrastructures, les bâtiments et les
réseaux technique.
J’ai eu la chance de pratiquer le BIM sur des
grands projet tels que :
la modélisation et la synthèse du stade
Jawhara en arabie saoudite
La modélisation architecturale et structurelle
du projet de ministère des affaires
étrangères de la république tchadienne.
modélisation du musée en France à partir du
point cloud en utilisant Autodesk Recap .
Nom
2. ASSILI KARIM
BIM Architect – Autodesk Recap Designer
Outil informatique
Revit Architecture
Revit Structure
Autocad
Dynamo
Autodesk recap
Sketchup
Autodesk Showcase
3DS max
Lumion
LumenRT
Autodesk vasari
Photoshop
Microsoft project
Microsoft office
Elaboration des maquettes numériques de
haut niveau de détail (LOD 400) pour des
projets de sous traitance pour une
compagnie saoudienne .
Elaboration des dossiers d'exécution pour
des projets de résidence en Tunisie et en
Djibouti .
2014 MD Architectes
J’ai passé mon stage professionnel au sein de
l’agence MD Architectes où j’ai pratiqué
l’architecture sur une base solide .
j’ai eu l’occasion d'être impliqué dans des
grands projets telques :
le concours national d’un hôpital à Sbeitla
dont on a remporté le 2eme prix .
la conception d’un complexe hôtelier en
Coggia Corse , France .
J’ai eu la chance aussi de faire le pilotage des
chantiers
2012-2013 ARCH’
J’ai passé chaque été 2 mois de stage au sein
de l’agence ARCH’ dont j’ai commencé à
apprendre et comprendre le monde de
l’architecture dans la vie réel , loin de la
théorie de l’école d’architecture .
J’ai appris Revit et j’ai commencé à faire le
projet avec cette outil depuis cette période .
EDUCATION
Baccalauréat section mathématique avec
mention très bien
2008
Projet fin d’étude avec mention très bien et
le projet est inscrit au liste des projets qui va
présenter la Tunisie dans la “ NASA apps
challenge “
2013
Diplome national d’architecte.
prix de l’étudiant architecte de la Tunisie
2014
Intérêt
Voyage
Sport
Art
Film documentaire
Défi Dynamo
