Abstract: A processing device for executing a machine learning neural network operation includes memory and a processor. The processor is configured to receive input data at a layer of the machine learning neural network operation, receive a plurality of sorted filters to be applied to the input data, apply the plurality of sorted filters to the input data to produce a plurality of different feature maps, compress the plurality of different feature maps according to a similarity of the feature maps relative to each other and store the plurality of different feature maps in the memory.

Abstract: A technique for determining an adaptive quantization parameter offset for a block of encoded video includes obtaining a rate control factor for the quantization parameter, determining a content-based quantization parameter factor for the quantization parameter, determining an adaptive variance based quantization offset based on content-based quantization parameter factors for a frame prior to the current frame, and combining the rate control factor, the content-based quantization parameter factor, and the adaptive offset to generate the quantization parameter.

Abstract: An electronic device that includes a decompression engine that includes N decoders and a decompressor decompresses compressed input data that includes N streams of data. Upon receiving a command to decompress compressed input data, the decompression engine causes each of the N decoders to decode a respective one of the N streams from the compressed input data separately and substantially in parallel with others of the N decoders. Each decoder outputs a stream of decoded data of a respective type for generating commands associated with a compression standard for decompressing the compressed input data. The decompressor next generates, from the streams of decoded data output by the N decoders, commands for decompressing the data using the compression standard to recreate the original data. The decompressor next executes the commands to recreate the original data and stores the original data in a memory or provides the original data to another entity.

Abstract: A graphics pipeline includes a cache having cache lines that are configured to store data used to process frames in a graphics pipeline. The graphics pipeline is implemented using a processor that processes frames for the graphics pipeline using data stored in the cache. The processor processes a first frame and writes back a dirty cache line from the cache to a memory concurrently with processing of the first frame. The dirty cache line is retained in the cache and marked as clean subsequent to being written back to the memory. In some cases, the processor generates a hint that indicates a priority for writing back the dirty cache line based on a read command occupancy at a system memory controller.

Abstract: A technique for detecting a glitch in an image is provided. The technique includes providing an image to a plurality of individual classifiers to generate a plurality of individual classifier outputs and providing the plurality of individual classifier outputs to an ensemble classifier to generate a glitch classification.

Abstract: A utility coupler that includes a coupling unit and a tool unit that can be selectively engaged together. The coupling unit may include a body, a cam member, a handle, and one or more utility couplings. The tool unit may include a body, a latching pin, and one or more utility couplings. In operation, the coupling unit may be placed into a decoupled position with the handle in a first position. The coupling unit may be moved into proximity of the tool unit. The handle may be moved to a second position causing the cam member to engage with the latching pin and couple the coupling unit to the tool unit. The utility couplings engage together to pass the one or more utilities to the industrial equipment.

Abstract: A processing device for executing a machine learning neural network operation includes memory and a processor. The processor is configured to receive input data at a layer of the machine learning neural network operation, receive a plurality of sorted filters to be applied to the input data, apply the plurality of sorted filters to the input data to produce a plurality of different feature maps, compress the plurality of different feature maps according to a sparsity of the feature maps and store the plurality of different feature maps in the memory.

Abstract: An endpoint processing device is provided for dynamically controlling latency tolerance reporting (LTR) values. The endpoint processing device comprises memory configured to store data and a processor. The processor is configured to execute a program and send, to a root point processing device via a peripheral component interconnect express (PCIe) link, a plurality of messages each comprising a memory access request and a LTR value indicating an amount of time to service the memory access request. The processor is also configured to, for each of the plurality of messages, determine, during execution of the program, a LTR value setting and set the LTR value as the determined LTR value setting.

Abstract: A linkage assembly to connect a tool to a robotic device. The linkage assembly includes a body and a first linkage pair with first and second links that are configured to be connected to a first section of the tool. The linkage assembly also includes a second linkage pair that includes first and second links that are configured to be connected to a second section of the tool. The first linkage pair are powered to provide a force to move the tool relative to the body. The second linkage pair supports the tool and moves with the first linkage pair. Each of the first and second linkage pairs are pivotally connected to the body and may maintain parallel positioning during the movement.

Abstract: Methods, systems, and apparatuses provide support for multiple address spaces in order to facilitate data movement. One system includes a host processor; a memory; a data fabric coupled to the host processor and to the memory; a first input/output memory manage unit (IOMMU) and a second IOMMU, each of the first and second IOMMUs coupled to the data fabric; a first root port and a second root port, each of the first and second root ports coupled to a corresponding IOMMU of the first and second IOMMUs; and a first peripheral component endpoint and a second peripheral component endpoint, each of the first and second peripheral component endpoints coupled to a corresponding root port of the first and second root ports, wherein each of the first and second root ports comprises hardware control logic operative to: synchronize the first and second root ports.

Abstract: Virtual Reality (VR) processing devices and methods are provided for transmitting user feedback information comprising at least one of user position information and user orientation information, receiving encoded audio-video (A/V) data, which is generated based on the transmitted user feedback information, separating the A/V data into video data and audio data corresponding to a portion of a next frame of a sequence of frames of the video data to be displayed, decoding the portion of a next frame of the video data and the corresponding audio data, providing the audio data for aural presentation and controlling the portion of the next frame of the video data to be displayed in synchronization with the corresponding audio data.

Abstract: A gaming machine provides a spinning reel game having a base game, from which a hold and spin feature game is triggered when a determined number of configurable symbols are displayed in a base game outcome. When the feature game is triggered, the configurable symbols are held in place on the display and the player is provided one or more spins during the feature game in which to collect additional configurable symbols. Any additional configurable symbols are retained on the display during subsequent spins until the feature game is completed. For each spin that includes additional configurable symbols, one or more awards are determined in an iterative manner that includes award values from any configurable symbols in the previous outcomes.

Abstract: Systems, apparatuses, and methods for implementing light volume rendering techniques are disclosed. A processor is coupled to a memory. A processor renders the geometry of a scene into a geometry buffer. For a given light source in the scene, the processor initiates two shader pipeline passes to determine which pixels in the geometry buffer to light. On the first pass, the processor renders a front-side of a light volume corresponding to the light source. Any pixels of the geometry buffer which are in front of the front-side of the light volume are marked as pixels to be discarded. Then, during the second pass, only those pixels which were not marked to be discarded are sent to the pixel shader. This approach helps to reduce the overhead involved in applying a lighting effect to the scene by reducing the amount of work performed by the pixel shader.

Abstract: A graphics processing unit (GPU) of a processing system transmits pixel data for a frame to a display in a compressed burst, so that the pixel data is communicated at a rate that is higher than the rate at which the display scans out the pixel data to refresh the frame at a display panel. By transmitting pixel data for the frame in a compressed burst, the GPU shortens the time spent transmitting the pixel data and extends the time before the next frame of pixel data is to be transmitted. During the extended time before the next frame of pixel data is to be transmitted, the GPU saves power by placing portions of the processing system in a reduced power mode.

Abstract: In one embodiment, a peripheral management device may have a controller configured to communicate with a gaming machine and a portable electronic device. The controller may be configured to: (i) receive a peripheral data packet from a gaming machine processor, the peripheral data packet including at least one command; (ii) determine whether to process the peripheral data packet on at least one peripheral device of the gaming machine or at least one virtual peripheral device of the portable electronic device; (iii) generate an instructional data packet for the at least one virtual peripheral device if the peripheral data packet is determined to be processed on the at least one virtual peripheral device; and (iv) transmit the instructional data packet to the portable electronic device.

Abstract: An apparatus includes a processor, a sleep state duration prediction module, and a system management unit. The sleep state duration prediction module is configured to predict a sleep state duration for component of the processing device. The system management unit is to transition the component into a sleep state selected from a plurality of sleep states based on a comparison of the predicted sleep state duration to at least one duration threshold. Each sleep state of the plurality of sleep states is a lower power state than a previous sleep state of the plurality of sleep states.

Abstract: A disclosed technique includes prefetching display data into a cache memory, wherein the display data includes data to be displayed on a display during a memory black-out period for a memory; triggering the memory black-out period; and during the black-out period, reading from the cache memory to obtain data to be displayed on the display.

Abstract: A method and apparatus for adjusting a display includes receiving a video stream. The video stream is analyzed for one or more environmental conditions. Based upon the analysis, a portion of the display is adjusted.

Abstract: A power delivery network, circuit, and method reduce die package resonance of an integrated circuit (IC) die. Decoupling capacitors interact with equivalent series inductances (ESLs) of power conductors within a package carrier substrate create the die package resonance characteristic. In one form an anti-resonance tuning circuit has a first branch including a first inductance coupled to one of an IC die positive power supply conductor and an IC die negative power supply conductor, and a second branch coupled directly to a selected one of a carrier substrate positive or negative conductive structures, the second branch comprising a second inductance inductively coupled to the first inductance.

Abstract: In one embodiment, an intermediary gaming trusted electronic device for use with an untrusted PED may operate to securely communicate with a gaming apparatus and securely communicate with the associated untrusted PED. The intermediary gaming trusted device is able to support interaction between the gaming apparatus and the associated untrusted PED. In another embodiment, a system to authorize a mobile electronic device to play games of chance may include a gaming system manager and a docking station. The docking station can be configured to: detect whether the mobile electronic device is connected to the docking station; and determine whether the mobile electronic device, or its user, is authorized to play a game of chance on the mobile electronic device.