Texas Instruments Corporation

Other

Jesse Gregory Villarreal, Jr

Mihir Narendra Mody

Niraj Nandan

Shashank Dabral

Kedar Satish Chitnis

William Cronin Wallace

Brijesh Rameshbhai Jadav

Lucas Carl Weaver

Martin Austin Wand

Methods, apparatus, systems and articles of manufacture (e.g., physical storage media) to implement thread scheduling for multithreaded data processing environments are disclosed. Example thread schedulers disclosed herein for a data processing system include a buffer manager to determine availability of respective buffers to be acquired for respective processing threads implementing respective functional nodes of a processing flow, and to identify first ones of the processing threads as stalled due to unavailability of at least one buffer in the respective buffers to be acquired for the first ones of the processing threads. Disclosed example thread schedulers also include a thread execution manager to initiate execution of second ones of the processing threads that are not identified as stalled.

Thread scheduling for multithreaded data processing environments

Methods, apparatus, systems to perform distance-based feature suppression of features of an image in a feature list of the image are disclosed. A method includes accessing the feature list, comparing a selected feature in the feature list with features located within a first distance of the selected feature, when features located within the first distance are non-suppressed or valid and are stronger than different non-suppressed features, marking the features as valid and marking other non-suppressed features as suppressed. When the features are suppressed or invalid and are not stronger than non-suppressed features, determining if features of the feature list are marked as valid or suppressed.

Performing distance-based feature suppression

A method for filtering noise for imaging includes receiving an image frame having position and range data. A filter size divides the frame into filter windows for processing each of the filter windows. For the first pixel, a space to the center pixel and a range difference between this pixel and the center pixel is determined and used for choosing a selected weight from weights in a 2D weight LUT including weighting for space and range difference, a filtered range value is calculated by applying the selected 2D weight to the pixel, and the range, filtered range value and selected 2D weight are summed. The determining, choosing, calculating and summing are repeated for at least the second pixel. A total sum of contributions from the first and second pixel are divided by the sum of selected 2D weights to generate a final filtered range value for the center pixel.

Adaptive bilateral (BL) filtering for computer vision

In the described examples, a non-transitory machine-readable medium includes a compiler that detects a soft-break indicator in a loop included in source code and the compiler applies software pipelining to generate compiled code for the loop. The compiled code includes assembly instructions and the soft-break indicator enables the compiler to arrange the assembly instructions to complete in-flight iterations of the loop after execution of the soft-break.

Loop break

A panel includes a fiberglass substrate encapsulating an aesthetic material. The fiberglass substrate and the aesthetic material are both impregnated with resin to form the solid-core of the panel. The solid-core panel can be manufactured by arranging multiple layers of a fiberglass material between multiple plates, interleaving aesthetic material between at least two of the layers of fiberglass material, applying resin to the multiple layers of fiberglass material and the aesthetic material, and then allowing the combination of the resin, multiple layers of fiberglass material, and the aesthetic material to cure between the plates, forming a solid-core panel encapsulating the aesthetic material.

Solid-core panel incorporating decorative and/or functional material

A digital system is provided that converts compressed data using an indexed transcoding lookup table. A stream of compressed data samples has data samples that represent one of n values corresponding to the first compression format. The transcoding table has at least n indexed entries, and each of the n indexed entries contains a data value corresponding to a second compression format. The transcoding table is accessed by using each of a portion of the received data samples as an index into the table to form a set of transcoded data samples that have a second compression format. The set of transcoded data samples form a stream of compressed data samples that have the second compression format. The transcoding table may be augmented to perform transcoding error correction by concatenating an error value with the data sample to index the table.

Growing community of inventors

Richardson, TX, United States of America

Jesse Gregory Villarreal, Jr