Book Image

Mastering SFML Game Development

By : Raimondas Pupius
Book Image

Mastering SFML Game Development

By: Raimondas Pupius

Overview of this book

SFML is a cross-platform software development library written in C++ with bindings available for many programming languages. It provides a simple interface to the various components of your PC, to ease the development of games and multimedia applications. This book will help you become an expert of SFML by using all of its features to its full potential. It begins by going over some of the foundational code necessary in order to make our RPG project run. By the end of chapter 3, we will have successfully picked up and deployed a fast and efficient particle system that makes the game look much more ‘alive’. Throughout the next couple of chapters, you will be successfully editing the game maps with ease, all thanks to the custom tools we’re going to be building. From this point on, it’s all about making the game look good. After being introduced to the use of shaders and raw OpenGL, you will be guided through implementing dynamic scene lighting, the use of normal and specular maps, and dynamic soft shadows. However, no project is complete without being optimized first. The very last chapter will wrap up our project by making it lightning fast and efficient.
Table of Contents (17 chapters)
Mastering SFML Game Development
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

Use of third-party software


As expected, we can't do all of this work with no additional tools. Profiling applications is a subject that requires a backend of established software, used to neatly organize and present us with the data of performance subtleties. CodeXL is an application we have already covered in Chapter 9 , The Speed of Dark - Lighting and Shadows and although we used it to view runtime OpenGL states, it also has quite a suite of options used to profile both CPU and GPU code. It can be found and downloaded here: http://gpuopen.com/compute-product/codexl/.

Of course, if we don't have AMD hardware, only a very limited set of tools for profiling are available. Although we can get by with the limited CPU profiling options, GPU profiling on an Nvidia card, for example, would require a different tool. There are some choices out there, but one notable option is Nvidia Nsighthttp://www.nvidia.com/object/nsight.html.

It's worth mentioning, however, that the newest versions of Nsight...