ATI unveils OpenGL extensions for boosting multi-GPU performance

There is currently no way for applications to efficiently use GPU resources in systems that contain more than one GPU. Hardware developers have provided methods that attempt to split the workload for an application among the available GPU resources, but this has proven to be rather inefficient since most applications were never written with these sorts of optimizations in mind, e.g. alternate frame rendering, split frame rendering or tiled rendering.

The new “WGL_AMD_gpu_association” provides a mechanism for applications to explicitly use the GPU resources on a given system individually. By providing this functionality, a driver allows applications to make appropriate decisions regarding where and when to distribute rendering tasks. In particular, when multiple GPUs are present, a context can be created for off-screen rendering that is associated with a specific GPU. This will allow applications to achieve an app-specific distributed GPU utilization.