Nvidia Corporation

Nvidia Technologies, Inc.

Jeremy Furtek

David Nister

Michael Grabner

Apparatuses, systems, and techniques to decode encoded data for fifth-generation (5G) new radio (NR). In at least one embodiment, a processor includes one or more circuits to select one or more data decoding operations to decode one or more 5G signals based, at least in part, on a sparsity of data received by the processor.

Technique to perform decoding of wireless communications signal data

Apparatuses, systems, and techniques to demodulate data for fifth-generation (5G) new radio (NR). In at least one embodiment, a processor includes one or more circuits to use a parallel processor to determine a signal value based, at least in part, on one or more predetermined probability values.

Technique to perform demodulation of wireless communications signal data

Systems and methods for performing visual odometry more rapidly. Pairs of representations from sensor data (such as images from one or more cameras) are selected, and features common to both representations of the pair are identified. Portions of bundle adjustment matrices that correspond to the pair are updated using the common features. These updates are maintained in register memory until all portions of the matrices that correspond to the pair are updated. By selecting only common features of one particular pair of representations, updated matrix values may be kept in registers. Accordingly, matrix updates for each common feature may be collectively saved with a single write of the registers to other memory. In this manner, fewer write operations are performed from register memory to other memory, thus reducing the time required to update bundle adjustment matrices and thus speeding the bundle adjustment process.

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San Antonio, TX, United States of America

Jeremy Furtek