OpenGL Headline News
Feb 11, 2016
Raspbian is the official Linux distribution of the Raspberry Pi products, and a new version has been released by its developers. The important change that was announced for the developers is the introduction of a new and experimental OpenGL driver for the desktop which uses the GPU to provide hardware acceleration. Since it’s not exactly stable, it’s disabled by default. It can be activated from raspi-config, under Advanced Options->GL Driver. Also, it will only work for Raspberry Pi 2 and not of the other versions.
Feb 10, 2016
Google engineers have open-sourced a new suite of libraries and tools on Github relating to OpenGL called ION. ION is described as “a portable suite of libraries and tools for building client applications, especially graphical ones. It is small, fast, and robust, and is cross-platform across many platforms and devices, including desktops, mobile devices, browsers, and other embedded platforms.”
Feb 08, 2016
The 48th installment in a series of tutorials dedicated to promoting modern OpenGL development, with a focus on version 3.x and beyond. This tutorial demonstrates how to integrate the Ant Tweak Bar library in an OpenGL application in order to create a user interface.
Feb 08, 2016
Learn about Vulkan, the new graphics and compute API directly from Khronos, the people who are creating it. In this 1-hour session, we will talk about the API, and go into details about the Vulkan SDK from LunarG, and much more. Register today!
Feb 05, 2016
NVIDIA just posted the next installment of their Vulkan tips blog series. This episode talks about memory management. Vulkan offers another key difference to OpenGL with respect to memory allocation. When it comes to managing memory allocations as well as assigning it to individual resources, the OpenGL driver does most of the work for the developer. This allows applications to be developed, tested and deployed very quickly. In Vulkan however, the programmer takes responsibility meaning that many operations that OpenGL orchestrates heuristically can be orchestrated based on an absolute knowledge of the resource lifecycle.