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MODELLING A PHOTO-REALISTIC 3D IMAGE USING AMD RADEON HD 7400M SERIES GPU

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Product Category: Projects

Product Code: 00007749

No of Pages: 54

No of Chapters: 1-5

File Format: Microsoft Word

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                                         ABSTRACT

With this work I was able to show, not only what you can achieve with the computer graphic processing unit (GPU) but also it being the core in every 3 dimensional (3D) modeling and animation in our visual 3D world or environment. Though I used “AMD RADEON HD 7400M Series GPU” for the 3D modeling on this work, there are much powerful GPUs Engine with capabilities to handle heavy duty 3D images and rendering such as the ‘’Nvidia RTX 2080Ti” which is among the most powerful GPUs available in the market for heavy duty gaming and other photo-realistic modeling. To also compare side by side model rendered with varieties of other GPUs and the difference between a CPU renderings versus a GPU. To also show how a GPU can be use in movie making using CGI (Computer Generated Image) which are being use to manipulate visual environment, objects and other make believes in our Sci-Fi movies such The Avengers. 3D modelings are heavily used in modeling object such as skies, mountains, aircrafts and alien being just to make believe. The software used for the modeling shown on this work was the “Autodesk 3D Max” which is among the best software application tool use for CGI and 3D modeling. From the introduction of the first 3D accelerator from 3dfx in 1996 these units have come a long way to be truly called a “Graphics Processing Unit”. So it is not a wonder that this piece of hardware is often referred to as an exotic product as far as computer peripherals are concerned. By observing the current pace at which work is going on in developing GPUs we can surely come to a conclusion that we will be able to see better and faster GPUs in the near future.

 

 

 

 

 

 

TABLE OF CONTENTS

 

CHAPTER ONE

1.0 INTRODUCTION

1.1 STATEMENT OF THE PROBLEMS

1.2 AIM AND OBJECTIVES

1.3 SIGNIFICAN OF THE STUDY

1.4 SCOPE AND LIMITATION IN GPU

1.5 HISTORYAND STANDARDS OF GPU

1.6 WHATS A GPU?

 

CHAPTER TWO

Literature review

2.0 TYPES OF GPU

2.1 GEFORCE 4

2.2 GEFORCE 4 TI

2.3 COMPONENTS OF GPU

2.4 PERIPHERAL COMPONENTINTER CONNECT

2.5 ACCELLERATED GRAPHICS PORT

2.6 HOW IS 3D ACCELLERATION DONE?

2.7 GPU OVERCLOCKING

2.8 HOW TO OVERCLOCK GPU

2.9 PERFORMANCE FACTOR OF GPU

 

CHAPTER THREE

3.0 GPU PERFOMANCE HIERARCHY

3.1 BEST GRAPHIC CARDS FOR GAMING IN 2020

3.2 INTRODUCTION TO AUTODESK 3D MAX

3.3 BRIEF HISTORY OF THE SYSTEM

3.4 3D MODELING WITH AUTODESK 2016

3.5 GPU RENDERING VS CPU RENDERING

3.6 ADVANTAGES OF CPU RENDERING

3.7 ADVANTAGES OF GPU RENDERING

 

CHAPTER FOUR

4.0 OVERVIEW OF THE GPU HARDWARE

4.1 DIRECTX AND OPEN GL

      4.1.1 WHAT IS OPENGL

      4.1.2 WHAT IS DIRECTX

 4.3 DESIGNING A 3D MODEL USING AMD RADEON HD 7400M Series GPU

 4.4 PARRELLE PROGRAMING WITH CUDA

 

 CHAPTER FIVE

5.1 SUMMARY                                                                 

5.2 CONCLUSION                                                                                                             

 REFERENCES

 

 

 

 

 

 

                                                            LIST OF FIGURES

 

FIGURE 1     CHART COMPARISM PERFORMANCE OF GEFORCE4600 TI

 

FIGURE 2     PERIPHERAL COMPONENT INTER-CONNECT

 

FIGURE 3     ACCELLERATED GRAPHICS PORT

 

FIGURE 5     AGP MEMORY ALLOCATION

 

FIGURE 6        OVERCLOCKING INDEX

 

FIGURE 7        GPU PERFORMANCE HIERARCHY 2019

 

FIGURE 8        BEST GRAPGIC CARD FOR GAMING

 

FIGURE 9        AUTODESK INTERFACE OVERVIEW

 

FIGURE 10      AUTODESK INTERFACE OVERVIEW

 

FIGURE 11      AUTODESK INTERFACE OVERVIEW

 

FIGURE 12      Modeling a box with autodesk, manipulating light for image background.

 

FIGURE 13      OVERVIEW OF THE GPU CARD HARDWARE INTERFACE

 

FIGURE 14      Radeon X800XL graphics card with DVI, VGA and ViVo connections.

 

FIGURE 16      OpenGL HardWare InterConnect

 

FIGURE 17      Autodesk interface overview modeling a 3D bicycle

 

FIGURE 18      Autodesk interface overview modeling a 3D bicycle

FIGURE 19       Autodesk interface overview modeling a 3D bicycle

FIGURE 20       Autodesk interface overview modeling a 3D bicycle

FIGURE 21       Autodesk interface overview modeling a 3D bicycle

FIGURE 22       Autodesk interface overview modeling a 3D bicycle

FIGURE 23        Autodesk interface overview modeling a 3D bicycle

FIGURE 24        Autodesk interface overview modeling a 3D bicycle

FIGURE 25         Autodesk interface overview modeling a 3D bicycle

FIGURE 26        FINAL RENDERED RESULT

 

FIGURE 27        REALISTIC 3D RENDERED DRONE

 

FIGURE 28        3ds Max Vray Realistic Interior

 

FIGURE 29        NVIDIA TESLA P100 PERFORMANCE CHART

 

FIGURE 30        GPU MICROPROCESSING TREND DATA

 

FIGURE 31        CUDA APPLICATION DOMAIN

 

 

 

 

                                           CHAPTER ONE

1.0 Introduction

 

There are various applications that require a 3D world to be simulated as realistically as possible on a computer screen. These include 3D animations in games, movies and other real world simulations. It takes a lot of computing power to represent a 3D world due to the great amount of information that must be used to generate a realistic 3D world and the complex mathematical operations that must be used to project this 3D world on a computer screen. In this situation, the processing time and bandwidth are at a premium due to large amounts of both computation and data.

 

The functional purpose of a GPU then, is to provide a separate dedicated graphics resources, including a graphics processor and memory, to relieve some of the burden off of the main system resources, namely the Central Processing Unit (CPU), Main Memory, and the System Bus, which would otherwise get saturated with graphical operations and I/O requests. The abstract goal of a GPU, however, is to enable a representation of a 3D world as realistically as possible. So these GPUs are designed to provide additional computational power that is customized specifically to perform these3D task.


1.1 STATEMENT OF THE PROBLEMS 

In a world where technology is fast rising, the computer graphic processing unit (GPU) has been a bit neglected or hasn’t been be more emphasized on the subject  of computer science. GPU which plays so much role on our daily computing and some other gargets such as our mobile phones and smart TVs hasn’t been given a dept thought, we proclaim and emphasizes more on the computer central processing unit (CPU) disregarding the thought that every pixel we see on our monitors and display unit has a specific chip powering the process.

 

In today’s world, where computer generated image (CGI) movies has taking the hold of the movie industries, the GPU is number one thing being considered in most of this CGI movie making for its capability of parallel processing of data and algorithm. Movies such as “The Avengers” and some other video games like the “Far Cry” which had heavy task on its production on the GPU because of the heavy CGI being used.

 

Since what we normally see today are visual based and computer generated images it’s important to teach how this stuffs works in early academic lives in computer science. To also set aside the GPU as one of most needed peripheral in computer system especially when it comes to 3D designs and modeling, when other basic computer hardware is being mentioned.

With this study I was able to show not just how much the GPU can do in our daily visual lives but also create some realistic 3D model and animations using a basic computer GPU.


1.2 AIM AND OBJECTIVES 

Modelling a photo-realistic 3D image using AMD RADEON HD 7400M Series GPU and comparing other results from more powerful GPUs.

A graphics processing unit (GPU) is a specialized electronic circuit designed to rapidly manipulate and alter memory to accelerate the creation of images in a frame. Our display unit and monitors are made up of pixels which are RGB (red green blue) colours that displays every other colours when combined, this dynamic change on the pixels is being powered by a chip called the Graphic processing Unit.

 

Other specific objectives:

·        Learning parallel programming using CUDA (Compute Unified Device Architecture)

 

·        This study was to enable us to perform a 3D modelling and an animation using AMD RADEON HD 7400M Series GPU on my computer.

 

·        This also shows that a GPU rendered more powerful image than a CPU when compared side by side.

 

·        With the help of a powerful GPU such as Nvidia RTX 2080Ti we could produce a realistic image and CGI (computer generated image) which are used on many animated movies such as “MOUANA”,”COCO”etc.


     1.3 SIGNIFICANCE OF THE STUDY

·    The significant of graphic processing unit GPU can’t be over emphasize in the study of computer science and many other display unit, there should be an indebt study of the hardware and software of the GPU in our higher institutions. A student should be able to know and understand how the chips and some other hardware component in a GPU function.

 

     Student will be able to understand parallel programming with GPU and also understand the difference between a GPU and CPU and also be able to distinguish how they both handle task in the computer system.

 

·    The student should also understand the significant of a GPU in 3D modeling and CGI movie production both in an animation and visual simulation. Understand the deference between CPU rendering and GPU rendering.

·        3D visual modeling should be taught in our schools and some other institution be it private or government owned. With this study I was able to prove why.


     1.4 SCOPE AND LIMITATION

Many a time I have always wanted to study computer graphics. I have always been fascinated about how we humans can be so attached to the visual world on our daily lives. Building a virtual reality world and some other realistic CGI material.

 

     From the start I had to know how this graphic works both the hardware aspect of it and the software. Knowing the kinds of graphic cards and there specification on different types of image processing. So I decided to study computer graphics and the things which it can be use for more especially 3D modeling and animation.

 

LIMITATION

There are many limitations when using GPU for 3d modeling, animation and to also produce a GPU card in Nigeria:

·        In a country where we don’t have silicon which is used for electronic chip production and some other electronic component, availability of material is nullified and we end up importing. Importation isn’t ideal for an amateur GPU production. The cost of it might render a business bankrupt for starters.

 

·      Secondly, the power supply; in a country where we have inconsistent power supply, rendering most images or a short 3D animation could be hectic and time consuming. Most of this data waste a lot of time when rendering and so require that the power supply be readily available 24/7.

 

·     Cost of an average computer system for 3D modeling can be worrisome, most of it cost close to N150, 000 naira. Having a compatible graphic card for a particular system could also be an issue when dealing with GPU. Some GPU are mother-board selective so getting a compatible one could prove to be expensive. 


      1.5 HISTORY AND STANDAREDS

The first graphics cards, introduced in August of 1981 by IBM, were monochrome cards designated as Monochrome Display Adapters (MDAs). The displays that used these cards were typically text-only, with green or white text on a black background. Color for IBM-compatible computers appeared on the scene with the 4-color Hercules Graphics Card (HGC), followed by the 8-color Color Graphics Adapter (CGA) and 16-color Enhanced Graphics Adapter (EGA).During the same time, other computer manufacturers, such as Commodore, were introducing computers with built-in graphics adapters that could handle a varying number of colors.

When IBM introduced the Video Graphics Array (VGA) in 1987, a new graphics standard came in to being. AVGA display could support up to 256colors (outofapossible262, 144-colorpalette) at resolutions up to 720x400. Perhaps the most interesting difference between VGA and the preceding formats Is that VGA was analog, where as displays had been digital upto that point. Going from digital to analog may seem like a step backward, but it actually provided the ability to vary the signal for more possible combinations than the strict on/off nature of digital.

Over the years, VGA gave way to Super Video Graphics Array (SVGA). SVGA cards were based on VGA, but each card manufacturer added resolutions and increased color depth in different ways. Eventually, the Video Electronics   Standards Association (VESA) agreed on a standard implementation of SVGA that provided up to16.8millioncolors and 1280x1024 resolution. Most graphics cards available today support Ultra Extended Graphics Array (UXGA). UXGA can support a palette of up to 16.8 million colors and resolutions up to 1600x1200 pixels.

Even though any card you can buy today will offer higher colour and resolution than the basic VGA specification, VGA mode is the factor to standard graphic and is the minimum on all cards. In addition to include VGA, a graphic card must be able to communicate to your computer. While the rest are still numbers of the graphic cards that plug into an Industry Standard Architecture (ISA) or Peripheral Component Interconnect (PCI) slot, most current graphics cards use the Accelerated Graphics Port (AGP).


1.6 WHAT IS A GPU

A Graphic Processing Unit (GPU) is a microprocessor that has been designed specifically for the processing of 3D graphic. The processor is built with integrated transform, lighting, triangle setup or clipping, and rendering engines, capable of handling millions of math intensive processes per second. GPUs form the heart of modern graphics card, relieving the CPU of much of the graphic processing load. GPUs allow productivity such as desktop PCs, portable computers, and game console to process real-time 3D graphic that only a few years ago were only available on high-end workstation used primarily for 3D application, a graphic processing as single-chip processor that creates lighting effect and transform objective every time a 3D scene is redrawn. These are mathematically-intensive tasks, which otherwise, would put quite a strain on the CPU. Lifting this burden from the CPU frees up cycles that can be used for other jobs.

 

However, the GPU is not just for playing 3D-intense video games or for those who create graphics (sometimes referred to as graphics rendering or content-creation) but is a crucial component that is critical to the PC's overall system speed. In order to fully appreciate the graphics card's role it must first be understood.

Many synonyms for Graphic Processing Unit in which the popular one being the graphic card is also known as the video accelerator, video adapter, video board, graphic accelerator, graphic adapter.

 

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