Abstract: During the rendering of an image, specific pixels in the image are identified where antialiasing would be helpful. Antialiasing is then performed on these identified pixels, where anti-aliasing is a technique used to add greater realism to a digital image by smoothing jagged edges. This reduces a cost of performing antialiasing by reducing a number of pixels within an image on which antialiasing is performed.

Abstract: In various examples, image data may be received that represents an image. Corner detection may be used to identify pixels that may be candidate corner points. The image data may be converted from a higher dimensional color space to a converted image in a lower dimensional color space, and boundaries may be identified within the converted image. A set of the candidate corner points may be determined that are within a threshold distance to one of the boundaries, and the set of the candidate corner points may be analyzed to determine a subset of the candidate corner points representative of corners of polygons. Using the subset of the candidate corner points, one or more polygons may be identified, and a filter may be applied to the polygons to identify a polygon as corresponding to a fiducial marker boundary of a fiducial marker.

Abstract: Various approaches are disclosed to temporally and spatially filter noisy image data—generated using one or more ray-tracing effects—in a graphically rendered image. Rather than fully sampling data values using spatial filters, the data values may be sparsely sampled using filter taps within the spatial filters. To account for the sparse sampling, locations of filter taps may be jittered spatially and/or temporally. For filtering efficiency, a size of a spatial filter may be reduced when historical data values are used to temporally filter pixels. Further, data values filtered using a temporal filter may be clamped to avoid ghosting. For further filtering efficiency, a spatial filter may be applied as a separable filter in which the filtering for a filter direction may be performed over multiple iterations using reducing filter widths, decreasing the chance of visual artifacts when the spatial filter does not follow a true Gaussian distribution.

Abstract: A method, computer readable medium, and system are disclosed for performing spatiotemporal filtering. The method includes identifying image data to be rendered, reconstructing the image data to create reconstructed image data, utilizing a filter including a neural network having one or more skip connections and one or more recurrent layers, and returning the reconstructed image data.

Abstract: Integrated circuits, or computer chips, typically include multiple hardware components (e.g. memory, processors, etc.) operating under a shared power (e.g. thermal) constraint that is sourced by one or more power sources for the chip. Typically, the hardware components can be individually configured to operate at certain states (e.g. to operate at a certain frequency by setting a clock speed for a clock dedicated to the hardware component). Thus, each hardware component can be configured to operate at an operating point that is determined to be optimal, usually in terms of achieving some desired goal for a specific application (e.g. frame rates for gaming, etc.). In the context of chip hardware that operates under a shared power/thermal constraint, a method, computer readable medium, and system are provided for determining the optimal operating point for the chip that takes into consideration both performance of the chip and power consumption by the chip.

Abstract: A switch architecture enables ports to stash packets in unused buffers on other ports, exploiting excess internal bandwidth that may exist, for example, in a tiled switch. This architecture leverages unused port buffer memory to improve features such as congestion handling and error recovery.

Abstract: A tile-based system for processing graphics data. The tile based system includes a first screen-space pipeline, a cache unit, and a first tiling unit. The first tiling unit is configured to transmit a first set of primitives that overlap a first cache tile and a first prefetch command to the first screen-space pipeline for processing, and transmit a second set of primitives that overlap a second cache tile to the first screen-space pipeline for processing. The first prefetch command is configured to cause the cache unit to fetch data associated with the second cache tile from an external memory unit. The first tiling unit may also be configured to transmit a first flush command to the screen-space pipeline for processing with the first set of primitives. The first flush command is configured to cause the cache unit to flush data associated with the first cache tile.

Abstract: In at least one embodiment, a reinforcement-learning-based searching approach is used to produce a training configuration for a machine-learning model. In at least one embodiment, 3D medical image segmentation is performed using learned image preprocessing parameters.

Abstract: A patch scanning display apparatus and a technique for reconstructing a target image frame on a projection surface is disclosed. The patch scanning display apparatus includes a backlight and a spatial light modulator (SLM). An optical scanning device scans the image projected by the SLM across the projection surface in accordance with a scan trajectory. A decomposition model is used to generate a set of image patches based on the target image frame and the scan trajectory. In an embodiment, the decomposition model is a projective non-negative matrix factorization model. The set of image patches are utilized to generate a modulation signal for the SLM and a binary backlight signal is then generated for each time step of the scan trajectory within a frame period to activate or deactivate the light-emitting elements of the backlight during the frame period at a high refresh rate while the projected image is scanned.

Abstract: A cover for a portable computing device includes a cover panel having a first portion of a solid silicone rubber sheet and a first stiffener panel that is fully encapsulated in the first portion of the solid silicone rubber sheet.

Abstract: In various examples, at least partial control of a vehicle may be transferred to a control system remote from the vehicle. Sensor data may be received from a sensor(s) of the vehicle and the sensor data may be encoded to generate encoded sensor data. The encoded sensor data may be transmitted to the control system for display on a virtual reality headset of the control system. Control data may be received by the vehicle and from the control system that may be representative of a control input(s) from the control system, and actuation by an actuation component(s) of the vehicle may be caused based on the control input.

Abstract: A viewing device, a method of displaying streamed data frames and a client viewing device are disclosed herein. In one embodiment, the video viewing device includes: (1) a screen, (2) a decoder configured to decode a data frame received in a bitstream from a transmitter to provide a decoded data frame, and (3) an error concealer configured to either discard the decoded data frame or select the decoded data frame for display on the screen based on a complexity of the decoded data frame.

Abstract: Almost all mobile devices, such as cell phones, tablets, laptops, etc., have touch sensors that enable a user of the device to control various aspects of the device through a touch screen. The touch screen is comprised of a touchable surface and numerous touch sensors positioned across the surface to sense which portion of the surface has been touched by the user. With current touch sensor technology, a touch controller of the device will perform a periodic scan, at some rate, of all of the touch sensors in order to determine which touch sensors have sensed a touch by the user. The present disclosure provides selective activation of the touch sensors for portions of a graphical user interface (GUI) determined to have user-selectable input elements, for providing power savings on the mobile device.

Abstract: “A system in having M memory controllers between a first memory and a second memory having N operative memory slices, where N and M are not evenly divisible, includes logic to operate the M memory controllers to linearly distribute addresses of the second memory across the N operative memory slices. The system may be utilized in commercial applications such as data centers, autonomous vehicles, and machine learning.

Abstract: Techniques are disclosed for reducing the time required to read and write data to memory. Data reads and/or writes can be delayed when error correction code (ECC) bits, which are used to detect and/or correct data corruption, are written to memory. Writing ECC bits can take longer in some instances than writing data bits because an ECC write may involve a read/modify/write operation, as opposed to just simply writing the bits to memory. Some latencies associated with writing ECC bits can be hidden by interleaving ECC writes with data writes. However, if insufficient data writes are available for interleaving, hiding such latencies become difficult. Thus, various techniques are disclosed, for example, where ECC writes are deferred until a sufficient number of data writes become available for interleaving. By interleaving ECC writes, the disclosed techniques decrease the overall time required to read and write data to memory.

Abstract: Apparatuses, systems, and techniques to compute cyclic redundancy checks use a graphics processing unit (GPU) to compute cyclic redundancy checks. For example, in at least one embodiment, an input data sequence is distributed among GPU threads for parallel calculation of an overall CRC value for the input data sequence according to various novel techniques described herein.

Abstract: A method dynamically selects one of a first sampling order and a second sampling order for a ray trace of pixels in a tile where the selection is based on a motion vector for the tile. The sampling order may be a bowtie pattern or an hourglass pattern.

Abstract: In various examples, frames of a video may include a first visual object that may appear relative to a second visual object within a region of the frames. Once a relationship between the first visual object and the region is known, one or more operations may be performed on the relative region. For example, optical character recognition may be performed on the relative region where the relative region is known to contain textual information. As a result, the identification of the first visual object may serve as an anchor for determining the location of the relative region including the second visual object—thereby increasing accuracy and efficiency of the system while reducing run-time.

Abstract: A computer implemented method of executing applications in a cloud server system is presented. The method comprises receiving a file identifier from a client device. The method also comprises receiving a file associated with the file identifier from a first server. Further, the method comprises accessing an application associated with the file from memory of the cloud server. Also, the method comprises executing by the cloud server the application using the file received from the first server. Finally, the method comprises streaming results from the executing the application as a video stream destined for the client device.

Abstract: Various examples of the present disclosure include a stereoscopic deep neural network (DNN) that produces accurate and reliable results in real-time. Both LIDAR data (supervised training) and photometric error (unsupervised training) may be used to train the DNN in a semi-supervised manner. The stereoscopic DNN may use an exponential linear unit (ELU) activation function to increase processing speeds, as well as a machine learned argmax function that may include a plurality of convolutional layers having trainable parameters to account for context. The stereoscopic DNN may further include layers having an encoder/decoder architecture, where the encoder portion of the layers may include a combination of three-dimensional convolutional layers followed by two-dimensional convolutional layers.