Google Inc.

Leland Stanford Junior University

Ofer Shacham

Albert Meixner

Jason Rupert Redgrave

Daniel Finchelstein

Qiuling Zhu

David Patterson

William R Mark

Neeti Desai

Donald C Stark

Edward Y Chang

Artem Vasilyev

Timothy James Knight

Hyunchul Park

Shahriar Rabii

Don Stark

Ji Kim

Fabrizio Basso

Michelle Tomasko

Masumi Reynders

Mark A Horowitz

Szepo Robert Hung

Stephen Richardson

Edward T Chang

Daniel Frederic Finchelstein

Daniel Fredric Finchelstein

A method is described that includes executing a convolutional neural network layer on an image processor having an array of execution lanes and a two-dimensional shift register. The two-dimensional shift register provides local respective register space for the execution lanes. The executing of the convolutional neural network includes loading a plane of image data of a three-dimensional block of image data into the two-dimensional shift register. The executing of the convolutional neural network also includes performing a two-dimensional convolution of the plane of image data with an array of coefficient values by sequentially: concurrently multiplying within the execution lanes respective pixel and coefficient values to produce an array of partial products; concurrently summing within the execution lanes the partial products with respective accumulations of partial products being kept within the two dimensional register for different stencils within the image data; and, effecting alignment of values for the two-dimensional convolution within the execution lanes by shifting content within the two-dimensional shift register array.

Convolutional neural network on programmable two dimensional image processor

An image processor unit is described. The image processor unit includes a plurality of inputs to receive at least one input image. The image processor unit includes a plurality of outputs to provide at least one output image. The image processor unit includes a network coupled to the plurality of inputs and the plurality of outputs. The network is to couple at least one of the inputs to at least one of the outputs. The image processor unit includes an image processor circuit coupled to the network. The network to route an input image that is received at one of the inputs to the image processor circuit. The image processor circuit is to execute image signal processing program code to generate a processed output image from the input image. The network is to route the processed output image to at least one of the outputs.

Configurable and programmable image processor unit

A method is described that includes, on an image processor having a two dimensional execution lane array and a two dimensional shift register array, repeatedly shifting first content of multiple rows or columns of the two dimensional shift register array and repeatedly executing at least one instruction between shifts that operates on the shifted first content and/or second content that is resident in respective locations of the two dimensional shift register array that the shifted first content has been shifted into.

Block operations for an image processor having a two-dimensional execution lane array and a two-dimensional shift register

An apparatus is described that include a line buffer unit composed of a plurality of a line buffer interface units. Each line buffer interface unit is to handle one or more requests by a respective producer to store a respective line group in a memory and handle one or more requests by a respective consumer to fetch and provide the respective line group from memory. The line buffer unit has programmable storage space whose information establishes line group size so that different line group sizes for different image sizes are storable in memory.

Line buffer unit for image processor

An apparatus is described. The apparatus includes an execution lane array coupled to a two dimensional shift register array structure. Locations in the execution lane array are coupled to same locations in the two-dimensional shift register array structure such that different execution lanes have different dedicated registers.

Two dimensional shift array for image processor

An apparatus that includes a program controller to fetch and issue instructions is described. The apparatus includes an execution lane having at least one execution unit to execute the instructions. The execution lane is part of an execution lane array that is coupled to a two dimensional shift register array structure, wherein, execution lane s of the execution lane array are located at respective array locations and are coupled to dedicated registers at same respective array locations in the two-dimensional shift register array.

Energy efficient processor core architecture for image processor

A sheet generator circuit is described. The sheet generator includes electronic circuitry to receive a line group of image data including multiple rows of data from a frame of image data. The multiple rows are sufficient in number to encompass multiple neighboring overlapping stencils. The electronic circuitry is to parse the line group into a smaller sized sheet. The electronic circuitry is to load the sheet into a data computation unit having a two dimensional shift array structure coupled to an array of processors.

Sheet generator for image processor

A method is described that includes loading an array of content into a two-dimensional shift register. The two-dimensional shift register is coupled to an execution lane array. The method includes repeatedly performing a first sequence including: shifting with the shift register first content residing along a particular row or column into another parallel row or column where second content resides and performing operations with a particular corresponding row or column of the execution lane array on the first and second content. The method also includes repeatedly performing a second sequence including: shifting with the shift register content from a set of first locations along a resultant row or column that is parallel with the rows or columns of the first sequence into a corresponding set of second locations along the resultant row or column. The resultant row or column has values determined from the operations of the first sequence.

Statistics operations on two dimensional image processor

A processor is described. The processor includes a network. A plurality of processing cores are coupled to the network. The processor includes a transmitter circuit coupled to the network. The transmitter circuit is to transmit output data generated by one of the processing cores into the network. The transmitter circuit includes control logic circuitry to cause the transmitter circuit to send a request for transmission of a second packet of output data prior to completion of the transmitter circuit's transmission of an earlier first packet of output data.

Image processor with high throughput internal communication protocol

A method is described that includes executing a convolutional neural network layer on an image processor having an array of execution lanes and a two-dimensional shift register. The executing of the convolutional neural network includes loading a plane of image data of a three-dimensional block of image data into the two-dimensional shift register. The executing of the convolutional neural network also includes performing a two-dimensional convolution of the plane of image data with an array of coefficient values by sequentially: concurrently multiplying within the execution lanes respective pixel and coefficient values to produce an array of partial products; concurrently summing within the execution lanes the partial products with respective accumulations of partial products being kept within the two dimensional register for different stencils within the image data; and, effecting alignment of values for the two-dimensional convolution within the execution lanes by shifting content within the two-dimensional shift register array.

A method is described. The method includes configuring a first instance of object code to execute on a processor. The processor has multiple cores and an internal network. The internal network is configured in a first configuration that enables a first number of the cores to be communicatively coupled. The method also includes configuring a second instance of the object code to execute on a second instance of the processor. A respective internal network of the second instance of the processor is configured in a second configuration that enables a different number of cores to be communicatively coupled, wherein, same positioned cores on the processor and the second instance of the processor have same network addresses for the first and second configurations. A processor is also described having an internal network designed to enable the above method.

Image processor with configurable number of active cores and supporting internal network

In a general aspect, an apparatus can include image processing logic (IPL) configured to perform an image processing operation on pixel data corresponding with an image having a width of W pixels and a height of H pixels to produce output pixel data in vertical slices of K pixels using K vertically overlapping stencils of S&#xd7;S pixels, K being greater than 1 and less than H, S being greater than or equal to 2, and W being greater than S. The apparatus can also include a linebuffer operationally coupled with the IPL, the linebuffer configured to buffer the pixel data for the IPL. The linebuffer can include a full-size buffer having a width of W and a height of (S&#x2212;1). The linebuffer can also include a sliding buffer having a width of SB and a height of K, SB being greater than or equal to S and less than W.

Virtual linebuffers for image signal processors

An apparatus is described. The apparatus includes an image processing unit. The image processing unit includes a plurality of stencil processor circuits each comprising an array of execution unit lanes coupled to a two-dimensional shift register array structure to simultaneously process multiple overlapping stencils through execution of program code. The image processing unit includes a plurality of sheet generators respectively coupled between the plurality of stencil processors and the network. The sheet generators are to parse input line groups of image data into input sheets of image data for processing by the stencil processors, and, to form output line groups of image data from output sheets of image data received from the stencil processors. The image processing unit includes a plurality of line buffer units coupled to the network to pass line groups in a direction from producing stencil processors to consuming stencil processors to implement an overall program flow.

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Palo Alto, CA, United States of America

Ofer Shacham