Abstract: The present disclosure relates to methods and apparatus for graphics processing. An example method generally includes rendering, by a graphics processing unit (GPU), a first image using a subset of data in a frame buffer corresponding to a first frame, the first image being rendered at a first resolution, the first image comprising a plurality of color component values; generating, using a neural network, a second image corresponding to a higher resolution version of the first image, the second image having a second resolution higher than the first resolution, wherein the neural network uses as input the first image and one or more non-color information corresponding to the first frame and computed by the GPU; and outputting the second image for display.

Abstract: A system and method for adaptively choosing applications/utilities can be provided to users in a cloud based utility computing environment (VCE) based on their network characteristics. Methods categorize remote utility computing applications (RAPPs) based on their network Quality of Service (QOS) requirements. Methods decide on suitable RAPPs that can be provided to users based on their network parameters, measured in the network path between users and the nearest utility computing server farm. A local hard disk based operating system and application can be provided, which is not a managed environment, but the access to which is controlled by the utility computing environment.