Tensor compression
    1.
    发明授权

    公开(公告)号:US11461625B1

    公开(公告)日:2022-10-04

    申请号:US16881612

    申请日:2020-05-22

    Applicant: Xilinx, Inc.

    Abstract: Lossy tensor compression and decompression circuits compress and decompress tensor elements based on the values of neighboring tensor elements. The lossy compression circuit scales each decompressed tensor element of a tile by a scaling factor that is based on the maximum value that can be represented by the number of bits used to represent a compressed tensor element, and the greatest value and least value of the tensor elements of the tile. The lossy decompression circuit performs the inverse of the lossy compression. The compression circuit and decompression circuit have parallel multiplier circuits and parallel adder circuits to perform the lossy compression and lossy decompression, respectively.

    Matrix inversion
    3.
    发明授权
    Matrix inversion 有权
    矩阵反演

    公开(公告)号:US09001924B1

    公开(公告)日:2015-04-07

    申请号:US13757084

    申请日:2013-02-01

    Applicant: Xilinx, Inc.

    CPC classification number: G06F17/16 H04B7/0413

    Abstract: An apparatus relating generally to matrix inversion is disclosed. This apparatus includes a matrix inversion module coupled to receive matrix information and to provide an approximation of an inversion of the matrix information. The matrix inversion module comprises a decomposition block coupled to receive the matrix information and to decompose the matrix information into diagonal matrix information and off diagonal matrix information, and an expansion block. The expansion block is coupled to receive the diagonal matrix information and the off diagonal matrix information, and to invert a matrix sum of the diagonal matrix information and the off diagonal matrix information by generation of a portion of a series expansion.

    Abstract translation: 公开了一般涉及矩阵反演的装置。 该装置包括耦合以接收矩阵信息并提供矩阵信息的反演的近似的矩阵反演模块。 矩阵反演模块包括耦合以接收矩阵信息并将矩阵信息分解为对角矩阵信息和离散对角矩阵信息的分解块和扩展块。 扩展块被耦合以接收对角矩阵信息和非对角矩阵信息,并且通过生成一系列扩展的一部分来反转对角矩阵信息和非对角矩阵信息的矩阵和。

    System and method for computing log likelihood ratios

    公开(公告)号:US09967057B1

    公开(公告)日:2018-05-08

    申请号:US15345353

    申请日:2016-11-07

    Applicant: Xilinx, Inc.

    CPC classification number: H04L1/0045 G06F17/10 H04L25/067

    Abstract: A method includes communicating data in a channel. Received symbols for the data correspond to points of a received symbol space respectively. First and second dimensions of the received symbol space correspond to a real part and an imaginary part of the received symbols respectively. A first received symbol for the data is obtained. A first region of the received symbol space for the first received symbol is determined. A first regression model associated with the first region and a first bit of the first received symbol is retrieved from a storage. The first regression model includes a plurality of regressors. A first log-likelihood ratio (LLR) for the first bit of the first received symbol is estimated using the first regression model.

    System and method for downlink processing in communication systems

    公开(公告)号:US09876657B1

    公开(公告)日:2018-01-23

    申请号:US15451209

    申请日:2017-03-06

    Applicant: Xilinx, Inc.

    Abstract: An integrated circuit (IC) includes a downlink unit including an input to receive a first plurality of frequency domain (FD) symbols associated with data symbols for a plurality of users, and an iteration unit to perform a plurality of iterations based on adjustment values. Each iteration includes generating a second plurality of FD symbols by performing a precoding process based on the first plurality of FD symbols, generating a third plurality of time domain (TD) symbols by performing a first modulation process based on the second plurality of FD symbols, generating a fourth plurality of TD symbols by performing a dynamic range reduction process based on absolute values of the third plurality of TD symbols, and updating the adjustment values. The downlink unit further includes a decision unit configured to generate transmit TD symbols for transmission through a channel to the plurality of users.

    Adaptive multiple-input multiple-output (MIMO) data detection and precoding
    6.
    发明授权
    Adaptive multiple-input multiple-output (MIMO) data detection and precoding 有权
    自适应多输入多输出(MIMO)数据检测和预编码

    公开(公告)号:US09525470B1

    公开(公告)日:2016-12-20

    申请号:US14887186

    申请日:2015-10-19

    Applicant: Xilinx, Inc.

    CPC classification number: H04B7/0456 H04B7/0452 H04L5/0023

    Abstract: A system includes a memory and an integrated circuit coupled to the memory. The integrated circuit is configured to communicate data in a channel characterized as a space having at least a frequency dimension. Anchor locations within the space correspond to respective regions of the space. The integrated circuit is further configured to determine a first inverse of a first matrix that corresponds to a first channel matrix for a first anchor location of the anchor locations. The first anchor location corresponds to a first region of the regions. The integrated circuit is further configured to perform an access link process for a second location other than the first anchor location but within the first region, the access link process using the first inverse determined for the first anchor location.

    Abstract translation: 系统包括存储器和耦合到存储器的集成电路。 集成电路被配置为在特征为具有至少频率维度的空间的信道中传送数据。 空间内的锚定位置对应于空间的相应区域。 集成电路还被配置为确定对应于锚位置的第一锚定位置的第一信道矩阵的第一矩阵的第一逆。 第一锚定位置对应于区域的第一区域。 集成电路还被配置为对除第一锚定位置之外但在第一区域内的第二位置执行接入链路处理,该接入链路处理使用为第一锚定位置确定的第一个反相。

    Method and system for convolution

    公开(公告)号:US11580191B1

    公开(公告)日:2023-02-14

    申请号:US15963234

    申请日:2018-04-26

    Applicant: Xilinx, Inc.

    Abstract: Method and system relating generally to convolution is disclosed. In such a method, an image patch is selected from input data for a first channel of a plurality of input channels of an input layer. The selected image patch is transformed to obtain a transformed image patch. The transformed image patch is stored. Stored is a plurality of predetermined transformed filter kernels. A stored transformed filter kernel of the plurality of stored predetermined transformed filter kernels is element-wise multiplied by multipliers with the stored transformed image patch for a second channel of the plurality of input channels different from the first channel to obtain a product. The product is inverse transformed to obtain a filtered patch for the image patch.

    Convolution circuitry
    9.
    发明授权

    公开(公告)号:US11704536B1

    公开(公告)日:2023-07-18

    申请号:US16427214

    申请日:2019-05-30

    Applicant: Xilinx, Inc.

    CPC classification number: G06N3/04 G06N3/08

    Abstract: Disclosed approaches for convolving input feature maps in a neural network include a circuit arrangement circuit that includes memory circuitry and convolution circuitry. The memory circuitry is configured to store K NxN first filters, and C 1x1 second filters, wherein N ≥ 1, and 1

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