Intel Corporation

Mahesh Mamidipaka

Nagadastagiri Reddy C

Sreenivas Subramoney

Dipan Kumar Mandal

Rahul Pal

Om Ji Omer

Philip Abraham

Umberto Santoni

Anish N K

Srivatsava Jandhyala

C Santhosh

An example apparatus for tracking features in image data includes an image data receiver to receive initial image data corresponding to an image from a camera and store the image data a circular buffer. The apparatus also includes a feature detector to detect features in the image data. The apparatus further includes a feature sorter to sort the detected features to generate sorted feature points. The apparatus includes a feature tracker to track the sorted feature points in subsequent image data corresponding to the image received at the image data receiver. The subsequent image data is to replace the initial image data in the circular buffer.

Feature detection, sorting, and tracking in images using a circular buffer

A method to check for redundancy in two or more data lines comprises receiving data on a first data line, computing a first cyclic redundancy check (CRC) value on the data of the first data line, performing an exclusive OR (XOR) function on the first CRC value with a stored memory value, and updating the stored memory value with a result of the XOR function, and repeating on additional data lines until a last line is processed such that an error is indicated if a final stored memory value is not zero. An apparatus to check that two cores are operating in lockstep comprises a first core comprising a first data checker, a second core comprising a second data checker, and a lockstep checker to compare an output of the first data checker with an output of the second data checker.

Hardware lockstep checking within a fault detection interval in a system on chip

A processor may include a plurality of processing elements and a hardware accelerator for selecting data elements. The hardware accelerator may: access an input data set comprising a set of data elements, each data element having a score value; increment bin counters based on the score values of the set of data elements, each bin counter to count a number of data elements with an associated score value; determine a cumulative sum of count values for a sequence of bin counters, the sequence beginning with a first bin counter of the plurality of bin counters; identify a second bin counter in the sequence of bin counters at which the cumulative sum reaches a selection quantity N; and generate an output data set based on a comparison of the set of data elements to a threshold score associated with the second bin counter.

Hardware accelerator for selecting data elements

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Bengaluru, India

Mahesh Mamidipaka