MEMORY ALLOCATION TECHNOLOGIES FOR DATA COMPRESSION AND DE-COMPRESSION

    公开(公告)号:US20230062540A1

    公开(公告)日:2023-03-02

    申请号:US17405957

    申请日:2021-08-18

    Abstract: Examples described herein relate to a manner of determining a number of bits to encode compression data. Some examples include: compressing pixel data of a region of pixels in a frame; determining a number of bits associated with at least two partitions; utilizing the determined number of bits to encode residual values generated from the compressing the pixel data; and storing the encoded residual values. In some examples, the at least two partitions comprise a first partition and a second partition. Some examples include: encoding residuals in the first partition using a number of bits associated with the first partition and encoding residuals in the second partition using a number of bits associated with the second partition. Some examples include: determining a distribution of bins of residuals, wherein each different bin represents a number of bits used to encode a residual value and determining a midpoint of a total number of residuals as a bin that stores a residual that is approximately 50 percentile of the total number of residuals of the distribution.

    EFFICIENT COMPRESSED VERBATIM COPY

    公开(公告)号:US20230030741A1

    公开(公告)日:2023-02-02

    申请号:US17390661

    申请日:2021-07-30

    Abstract: Compressed verbatim copy can enable more efficient copying of compressed data. In one example, a compressed verbatim copy method involves receiving a command to copy compressed data from a source address of the memory device to a destination address. In response to the receipt of the command, the method involves copying the compressed data in a compressed format from the source address to the destination address without first decompressing the data. A second source address and a second destination address of metadata for the compressed data is determined, and the metadata is copied from the second source address to the second destination address.

    METHOD AND APPARATUS FOR VECTOR-MATRIX COMPARISON

    公开(公告)号:US20200310804A1

    公开(公告)日:2020-10-01

    申请号:US16370922

    申请日:2019-03-30

    Abstract: Methods and apparatus for vector-matrix comparison are disclosed. In one embodiment, a processor comprises decoding and execution circuitry. The decoding circuitry decodes an instruction, where operands of the instruction specifies an output location to store output results, a vector of data element values, and a matrix of data element values. The execution circuitry executes the decoded instruction. The execution includes to map each of the data element values of the vector to one of consecutive rows of the matrix; for each data element value of the vector, to compare that data element value of the vector with data element values in a respective row of the matrix and obtain data element match results. The execution further includes to store the output results based on the data element match results, where each output result maps to a respective data element column position and indicates a vector match result.

    CONTEXT-AWARE COMPRESSION WITH QUANTIZATION OF HIERARCHICAL TRANSFORM MATRICES

    公开(公告)号:US20220343554A1

    公开(公告)日:2022-10-27

    申请号:US17740754

    申请日:2022-05-10

    Abstract: Apparatus and method for context-aware compression. For example, one embodiment of an apparatus comprises: ray traversal/intersection circuitry to traverse rays through a hierarchical acceleration data structure to identify intersections between rays and primitives of a graphics scene; matrix compression circuitry/logic to compress hierarchical transformation matrices to generate compressed hierarchical transformation matrices by quantizing N-bit floating point data elements associated with child transforms of the hierarchical transformation matrices to variable-bit floating point numbers or integers comprising offsets from a parent transform of the child transform; and an instance processor to generate a plurality of instances of one or more base geometric objects in accordance with the compressed hierarchical transformation matrices.

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