Motorola Corporation

Freescale Semiconductor,inc.

Nikos Bellas

Sek M Chai

Daniel Alan Linzmeier

Arnold W Yanof

Malcolm Ryle Dwyer

Zhiyuan Li

Erica M Lau

A specification of a configurable processor is generated by generating (1) specifications of first and second stream memory interfaces to be operable to access data in accordance with first and second stream descriptors, and (2) a specification of an interim data storage device (buffer) to be accessed by the first and second stream memory interfaces and to be operable to receive data from a first computational module via the first stream memory interface and to transfer data to a second computational module via the second stream memory interface. The specifications are output and may be used to configure a configurable processor.

Method and apparatus for configuring buffers for streaming data transfer

A system and method is provided for processing a digital image. The system and method processes image data by replacing bad pixel data in the digital image. Specifically, the system and method replaces bad pixel data in the image data by comparing each pixel to selected neighboring pixels, including pixels of other colors in some cases, and determining if the pixel is likely corrupt, such as from a detective pixel. Corrupted pixels are then replaced using averages, means, maximums, or other statistical functions of select nearby pixels.

System and method for bad pixel replacement in image processing

A streaming data interface device () of a streaming processing system () is automatically generated by selecting a set of circuit parameters () consistent with a set of circuit constraints and generating () a representation of a candidate memory interface device based upon a set of stream descriptors. The candidate streaming data interface device is evaluated () with respect to one or more quality metrics and the representation of the candidate streaming processor circuit is output () if the candidate memory interface device satisfies a set of processing system constraints and is better in at least one of the one or more quality metrics than other candidate memory interface devices.

Automatic generation of streaming data interface circuit

A system and method is provided for processing a digital image. The system and method processes image data by correcting for roll-off variability in the digital image. The system and method corrects for roll-off in image data by determining for each pixel a roll-off contour in which the pixel resides and adjusting that pixel based upon its roll-off contour, which in turn, depends upon its location on the image plane.

System and method for roll-off correction in image processing

In one embodiment, a subset of a set of streaming kernels of an application is selected for implementation on a reconfigurable processor. The streaming kernels are selected by first forming a stream flow graph of the application by parsing a program of instructions of the application, the stream flow graph having kernel nodes and edges, and determining benefit and cost values for each kernel node in the stream flow graph. Next, a subset of the kernel nodes that maximizes a weighted sum of the benefits values is selected, subject to a constraint that the sum of cost values is not greater than a prescribed value for the reconfigurable processor.

Streaming kernel selection for reconfigurable processor

A streaming processor circuit of a processing system is automatically generated by selecting a set of circuit parameters consistent with a set of circuit constraints and generating a representation of a candidate streaming processor circuit based upon the set of circuit parameters to execute one or more iterations of a computation specified by a streaming data flow graph. The candidate streaming processor circuit is evaluated with respect to one or more quality metrics and the representation of the candidate streaming processor circuit is output if the candidate streaming processor circuit satisfies a set of processing system constraints and is better in at least one of the one or more quality metrics than other candidate streaming processor circuits.

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Chicago, IL, United States of America

Nikos Bellas