This document provides a history and overview of computer graphics. It discusses the evolution of computer graphics from the 1940s to present day, covering important developments like Ivan Sutherland's Sketchpad program in 1963 and the creation of OpenGL in the 1990s. Key concepts covered include output hardware like CRTs and flat panel displays, 2D and 3D graphics standards, and input and output devices used in computer graphics systems.
GDC2019 - SEED - Towards Deep Generative Models in Game DevelopmentElectronic Arts / DICE
Deep learning is becoming ubiquitous in Machine Learning (ML) research, and it's also finding its place in industry-related applications. Specifically, deep generative models have proven incredibly useful at generating and remixing realistic content from scratch, making themselves a very appealing technology in the field of AI-enhanced content authoring. As part of this year's Machine Learning Tutorial at the Game Developers Conference 2019 (GDC), Jorge Del Val from SEED will cover in an accessible manner the fundamentals of deep generative modeling, including some common algorithms and architectures. He will also discuss applications to game development and explore some recent advances in the field.
The attendee will gain basic understanding of the fundamentals of generative models and how to implement them. Also, attendees will grasp potential applications in the field of game development to inspire their work and companies. This talk does not require a mathematical or machine learning background, although previous knowledge on either of those is beneficial.
GDC2019 - SEED - Towards Deep Generative Models in Game DevelopmentElectronic Arts / DICE
Deep learning is becoming ubiquitous in Machine Learning (ML) research, and it's also finding its place in industry-related applications. Specifically, deep generative models have proven incredibly useful at generating and remixing realistic content from scratch, making themselves a very appealing technology in the field of AI-enhanced content authoring. As part of this year's Machine Learning Tutorial at the Game Developers Conference 2019 (GDC), Jorge Del Val from SEED will cover in an accessible manner the fundamentals of deep generative modeling, including some common algorithms and architectures. He will also discuss applications to game development and explore some recent advances in the field.
The attendee will gain basic understanding of the fundamentals of generative models and how to implement them. Also, attendees will grasp potential applications in the field of game development to inspire their work and companies. This talk does not require a mathematical or machine learning background, although previous knowledge on either of those is beneficial.
Driven by the recent resurgence of 3D cinema, depth cameras and stereoscopic displays are becoming commonplace in the consumer market. Introduced last October, Microsoft Kinect has already fostered gesture-based interaction for applications well beyond the intended Xbox 360 platform. Similarly, consumer electronics manufacturers have begun selling stereoscopic displays and inexpensive stereoscopic cameras. Most commercial 3D displays continue to require cumbersome eyewear, but inexpensive, glasses-free 3D displays are imminent with the release of the Nintendo 3DS.
At SIGGRAPH 2010, the Build Your Own 3D Display course demonstrated how to construct both LCD shutter glasses and glasses-free lenticular screens, providing Matlab-based code for batch encoding of 3D imagery. This follow-up course focuses more narrowly on glasses-free displays, describing in greater detail the practical aspects of real-time, OpenGL-based encoding for such multi-view, spatially multiplexed displays.
The course reviews historical and perceptual aspects, emphasizing the goal of achieving disparity, motion parallax, accommodation, and convergence cues without glasses. It summarizes state-of-the-art methods and areas of active research. And it provides a step-by-step tutorial on how to construct a lenticular display. The course concludes with an extended question-and-answer session, during which prototype hardware is available for inspection.
For this year's keynote at High Performance Graphics 2018, Colin Barré-Brisebois from SEED discussed the state of the art in real-time game ray tracing. He explored some of the connections between offline and real-time game ray tracing, and presented some of the open problems. Colin exposed a few potential solutions to those problems, and also proposed a call-to-arms on topics where the ray tracing research community and the games industry should unite in order to solve such open problems.
CUDA by Example : Constant Memory and Events : NotesSubhajit Sahu
Highlighted notes of:
Chapter 6: Constant Memory and Events
Book:
CUDA by Example
An Introduction to General Purpose GPU Computing
Authors:
Jason Sanders
Edward Kandrot
“This book is required reading for anyone working with accelerator-based computing systems.”
–From the Foreword by Jack Dongarra, University of Tennessee and Oak Ridge National Laboratory
CUDA is a computing architecture designed to facilitate the development of parallel programs. In conjunction with a comprehensive software platform, the CUDA Architecture enables programmers to draw on the immense power of graphics processing units (GPUs) when building high-performance applications. GPUs, of course, have long been available for demanding graphics and game applications. CUDA now brings this valuable resource to programmers working on applications in other domains, including science, engineering, and finance. No knowledge of graphics programming is required–just the ability to program in a modestly extended version of C.
CUDA by Example, written by two senior members of the CUDA software platform team, shows programmers how to employ this new technology. The authors introduce each area of CUDA development through working examples. After a concise introduction to the CUDA platform and architecture, as well as a quick-start guide to CUDA C, the book details the techniques and trade-offs associated with each key CUDA feature. You’ll discover when to use each CUDA C extension and how to write CUDA software that delivers truly outstanding performance.
Table of Contents
Why CUDA? Why Now?
Getting Started
Introduction to CUDA C
Parallel Programming in CUDA C
Thread Cooperation
Constant Memory and Events
Texture Memory
Graphics Interoperability
Atomics
Streams
CUDA C on Multiple GPUs
The Final Countdown
All the CUDA software tools you’ll need are freely available for download from NVIDIA.
Jason Sanders is a senior software engineer in NVIDIA’s CUDA Platform Group, helped develop early releases of CUDA system software and contributed to the OpenCL 1.0 Specification, an industry standard for heterogeneous computing. He has held positions at ATI Technologies, Apple, and Novell.
Edward Kandrot is a senior software engineer on NVIDIA’s CUDA Algorithms team, has more than twenty years of industry experience optimizing code performance for firms including Adobe, Microsoft, Google, and Autodesk.
Rendering Techniques in Rise of the Tomb RaiderEidos-Montréal
This cohesive overview of the advanced rendering techniques developed for Rise of the Tomb Raider presents a collection of diverse features, the challenges they presented, where current approaches succeed and fail, and solutions and implementation details.
Siggraph2016 - The Devil is in the Details: idTech 666Tiago Sousa
A behind-the-scenes look into the latest renderer technology powering the critically acclaimed DOOM. The lecture will cover how technology was designed for balancing a good visual quality and performance ratio. Numerous topics will be covered, among them details about the lighting solution, techniques for decoupling costs frequency and GCN specific approaches.
Driven by the recent resurgence of 3D cinema, depth cameras and stereoscopic displays are becoming commonplace in the consumer market. Introduced last October, Microsoft Kinect has already fostered gesture-based interaction for applications well beyond the intended Xbox 360 platform. Similarly, consumer electronics manufacturers have begun selling stereoscopic displays and inexpensive stereoscopic cameras. Most commercial 3D displays continue to require cumbersome eyewear, but inexpensive, glasses-free 3D displays are imminent with the release of the Nintendo 3DS.
At SIGGRAPH 2010, the Build Your Own 3D Display course demonstrated how to construct both LCD shutter glasses and glasses-free lenticular screens, providing Matlab-based code for batch encoding of 3D imagery. This follow-up course focuses more narrowly on glasses-free displays, describing in greater detail the practical aspects of real-time, OpenGL-based encoding for such multi-view, spatially multiplexed displays.
The course reviews historical and perceptual aspects, emphasizing the goal of achieving disparity, motion parallax, accommodation, and convergence cues without glasses. It summarizes state-of-the-art methods and areas of active research. And it provides a step-by-step tutorial on how to construct a lenticular display. The course concludes with an extended question-and-answer session, during which prototype hardware is available for inspection.
For this year's keynote at High Performance Graphics 2018, Colin Barré-Brisebois from SEED discussed the state of the art in real-time game ray tracing. He explored some of the connections between offline and real-time game ray tracing, and presented some of the open problems. Colin exposed a few potential solutions to those problems, and also proposed a call-to-arms on topics where the ray tracing research community and the games industry should unite in order to solve such open problems.
CUDA by Example : Constant Memory and Events : NotesSubhajit Sahu
Highlighted notes of:
Chapter 6: Constant Memory and Events
Book:
CUDA by Example
An Introduction to General Purpose GPU Computing
Authors:
Jason Sanders
Edward Kandrot
“This book is required reading for anyone working with accelerator-based computing systems.”
–From the Foreword by Jack Dongarra, University of Tennessee and Oak Ridge National Laboratory
CUDA is a computing architecture designed to facilitate the development of parallel programs. In conjunction with a comprehensive software platform, the CUDA Architecture enables programmers to draw on the immense power of graphics processing units (GPUs) when building high-performance applications. GPUs, of course, have long been available for demanding graphics and game applications. CUDA now brings this valuable resource to programmers working on applications in other domains, including science, engineering, and finance. No knowledge of graphics programming is required–just the ability to program in a modestly extended version of C.
CUDA by Example, written by two senior members of the CUDA software platform team, shows programmers how to employ this new technology. The authors introduce each area of CUDA development through working examples. After a concise introduction to the CUDA platform and architecture, as well as a quick-start guide to CUDA C, the book details the techniques and trade-offs associated with each key CUDA feature. You’ll discover when to use each CUDA C extension and how to write CUDA software that delivers truly outstanding performance.
Table of Contents
Why CUDA? Why Now?
Getting Started
Introduction to CUDA C
Parallel Programming in CUDA C
Thread Cooperation
Constant Memory and Events
Texture Memory
Graphics Interoperability
Atomics
Streams
CUDA C on Multiple GPUs
The Final Countdown
All the CUDA software tools you’ll need are freely available for download from NVIDIA.
Jason Sanders is a senior software engineer in NVIDIA’s CUDA Platform Group, helped develop early releases of CUDA system software and contributed to the OpenCL 1.0 Specification, an industry standard for heterogeneous computing. He has held positions at ATI Technologies, Apple, and Novell.
Edward Kandrot is a senior software engineer on NVIDIA’s CUDA Algorithms team, has more than twenty years of industry experience optimizing code performance for firms including Adobe, Microsoft, Google, and Autodesk.
Rendering Techniques in Rise of the Tomb RaiderEidos-Montréal
This cohesive overview of the advanced rendering techniques developed for Rise of the Tomb Raider presents a collection of diverse features, the challenges they presented, where current approaches succeed and fail, and solutions and implementation details.
Siggraph2016 - The Devil is in the Details: idTech 666Tiago Sousa
A behind-the-scenes look into the latest renderer technology powering the critically acclaimed DOOM. The lecture will cover how technology was designed for balancing a good visual quality and performance ratio. Numerous topics will be covered, among them details about the lighting solution, techniques for decoupling costs frequency and GCN specific approaches.
Calficaciones de todos los bloques.
NOTA: SI TU PROMEDIO NO DA PARA APROBAR..... Y SI ERES DE LOS 10 MEJORES EN EL INSTITUCIONAL OBTINES EL PASE DE 7.0 SEMESTRAL
OpenGL - point & line design
introduce the construction of displayers (CRT, Flat-panel, LCD, PDP, projector...)
those render is based on graphic skills (point & line)