Assaultcube github driver#
Assaultcube github full#
Assaultcube github Offline#

In addition to initializing EGL, this function returns the EGL version supported on the specified display. Next we need to initialize EGL on this display ( eglInitialize()). (Visualization: John Stone, UIUC, details at ) Swine Flu A/H1N1 neuraminidase bound to Tamiflu. So in the case of a headless node, this simply results in a display object for off-screen rendering. A display can, but doesn’t have to, represent a physical display attached to the system. The first step is to get a display object ( eglGetDisplay()), which in this case is the default display. Let’s have a look at the individual steps of this minimal OpenGL context creation under EGL. Create a context and make it currentĮGLContext eglCtx = eglCreateContext(eglDpy, eglCfg, EGL_NO_CONTEXT,ĮglMakeCurrent(eglDpy, eglSurf, eglSurf, eglCtx) Select an appropriate configurationĮglChooseConfig(eglDpy, configAttribs, &eglCfg, 1, &numConfigs) ĮGLSurface eglSurf = eglCreatePbufferSurface(eglDpy, eglCfg, #include ĮGLDisplay eglDpy = eglGetDisplay(EGL_DEFAULT_DISPLAY) The good news is that creating an OpenGL context with EGL is not rocket science! Just follow these five basic steps: Initialize EGL, select an appropriate screen, create a surface, bind the correct API and obtain a context from it. For example, solvers with domain boundaries expressed as triangulated surfaces simulators that trace particle trajectories on a computational gird or codes that need to perform visibility tests for geometrical structures. Another use case is a CUDA or OpenACC application that performs an operation that can benefit from the graphics specific-functionality of the GPU as part of the computation. The most common use case for OpenGL on EGL is to create an OpenGL context and use it for off-screen rendering. Creating an OpenGL context Electron flow in nanotransistor (Visualization Jean Favre, CSCS Simulation: Mathieu Luisier, Mauro Caldelara, Joost VandeVondele, ETH Zurich. In this post, I will briefly describe the steps necessary to create an OpenGL context in order to enable OpenGL accelerated applications on systems without an X server.

Assaultcube github driver#

The latest driver (358) enables multi-GPU rendering support.

Assaultcube github full#

With the release of NVIDIA Driver 355, full (desktop) OpenGL is now available on every GPU-enabled system, with or without a running X server. However, it was still not possible to run legacy OpenGL applications under such contexts.

Initially driven by the requirements of the embedded space, the NVIDIA driver release 331 introduced EGL support, enabling context creation for OpenGL ES applications without the need for a running an X server. Over the past few years, a new standard for managing OpenGL contexts has emerged: EGL. Figure 1: The visualization toolkit VTK can use EGL for context management and off-screen rendering. Until recently, this was the only way to manage an OpenGL context.

Especially in an HPC setting, system administrators are often reluctant to have X server processes running on the compute nodes. The reason is that it’s not sufficient to enable OpenGL rendering on the GPUs (See my previous blog post for more details), but it also requires running an X server on each node. Even though you have access to all that amazing GPU power, you’re often out of luck when it comes to GPU-accelerated rendering.

Assaultcube github Offline#

Or maybe you have a fantastic OpenGL application that you want to deploy on a server farm for offline rendering. If you’re like me, you have a GPU-accelerated in-situ visualization toolkit that you need to run on the latest-generation supercomputer.