An apparatus and method are described for utilizing volume proxies. For example, one embodiment of an apparatus comprises: a volume subdivision module to subdivide a volume into a plurality of partitions, the apparatus to process a first of the partitions and to distribute data associated with each of the other partitions to each of a plurality of nodes; a proxy generation module to compute a first proxy for the first partition, the first proxy to be transmitted to the plurality of nodes; and a ray tracing engine to perform one or more traversal/intersection operations for a current ray or group of rays using the first proxy; if the ray or group of rays interacts with the first proxy, then the ray tracing engine to send the ray(s) to a second node associated with the first proxy or retrieves data related to the interaction from the second node.

Disclosed are various examples for platform independent graphics processing unit (GPU) profiles for more efficient utilization of GPU resources. A virtual machine configuration can be identified to include a platform independent graphics computing requirement. Hosts can be identified as available in a computing environment based on the platform independent graphics computing requirement. The virtual machine can be placed on a host based on a consideration of host priority.

Disclosed are various examples for platform independent graphics processing unit (GPU) profiles for more efficient utilization of GPU resources. A virtual machine configuration can be identified to include a platform independent graphics computing requirement. Hosts can be identified as available in a computing environment based on the platform independent graphics computing requirement. The virtual machine can be placed on a host based on a consideration of host priority.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for parallel processing of video frames using neural networks. One of the methods includes receiving a video sequence comprising a respective video frame at each of a plurality of time steps; and processing the video sequence using a video processing neural network to generate a video processing output for the video sequence, wherein the video processing neural network includes a sequence of network components, wherein the network components comprise a plurality of layer blocks each comprising one or more neural network layers, wherein each component is active for a respective subset of the plurality of time steps, and wherein each layer block is configured to, at each time step at which the layer block is active, receive an input generated at a previous time step and to process the input to generate a block output.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for parallel processing of video frames using neural networks. One of the methods includes receiving a video sequence comprising a respective video frame at each of a plurality of time steps; and processing the video sequence using a video processing neural network to generate a video processing output for the video sequence, wherein the video processing neural network includes a sequence of network components, wherein the network components comprise a plurality of layer blocks each comprising one or more neural network layers, wherein each component is active for a respective subset of the plurality of time steps, and wherein each layer block is configured to, at each time step at which the layer block is active, receive an input generated at a previous time step and to process the input to generate a block output.

Technologies for providing shared memory for accelerator sleds includes an accelerator sled to receive, with a memory controller, a memory access request from an accelerator device to access a region of memory. The request is to identify the region of memory with a logical address. Additionally, the accelerator sled is to determine from a map of logical addresses and associated physical address, the physical address associated with the region of memory. In addition, the accelerator sled is to route the memory access request to a memory device associated with the determined physical address.

Technologies for providing shared memory for accelerator sleds includes an accelerator sled to receive, with a memory controller, a memory access request from an accelerator device to access a region of memory. The request is to identify the region of memory with a logical address. Additionally, the accelerator sled is to determine from a map of logical addresses and associated physical address, the physical address associated with the region of memory. In addition, the accelerator sled is to route the memory access request to a memory device associated with the determined physical address.

The present disclosure relates to methods and apparatus for display processing. Aspects of the present disclosure can communicate an image to multiple display panels, where the multiple display panels include a first display panel and a second display panel. Further, aspects of the present disclosure can divide the image between the first display panel and the second display panel. Additionally, aspects of the present disclosure can scale at least one of a first portion of the image or a second portion of the image to at least one of the first display panel and the second display panel. Aspects of the present disclosure can also display at least one of the scaled first portion of the image or the scaled second portion of the image on at least one of the first display panel or the second display panel.

The present disclosure relates to methods and apparatus for display processing. Aspects of the present disclosure can communicate an image to multiple display panels, where the multiple display panels include a first display panel and a second display panel. Further, aspects of the present disclosure can divide the image between the first display panel and the second display panel. Additionally, aspects of the present disclosure can scale at least one of a first portion of the image or a second portion of the image to at least one of the first display panel and the second display panel. Aspects of the present disclosure can also display at least one of the scaled first portion of the image or the scaled second portion of the image on at least one of the first display panel or the second display panel.

A method includes: computing noise data by subtracting, by a processing circuit, a noisy image from a corresponding ground truth image; clustering, by the processing circuit, a plurality of noise values of the noise data based on intensity values of the corresponding ground truth image; permuting, by the processing circuit, a plurality of locations of the noise values of the noise data within each cluster; generating, by the processing circuit, a synthetic noise image based on the permuted locations of the noise values; adding, by the processing circuit, the synthetic noise image to the corresponding ground truth image to generate a synthetic noisy image; and augmenting an image dataset for training a neural network to perform image denoising with the synthetic noisy image.