SYSTEM AND METHODS FOR THE COMPUTATION OF THE FORWARD AND INVERSE DISCRETE PERIODIC RADON TRANSFORM ON GPUs AND CPUs
    1.
    发明申请
    SYSTEM AND METHODS FOR THE COMPUTATION OF THE FORWARD AND INVERSE DISCRETE PERIODIC RADON TRANSFORM ON GPUs AND CPUs 审中-公开
    用于在GPU和CPU上计算前向和反向离散周期性氡变换的系统和方法

    公开(公告)号:WO2017106606A2

    公开(公告)日:2017-06-22

    申请号:PCT/US2016/067110

    申请日:2016-12-16

    Applicant: STC.UNM

    CPC classification number: G06F9/5066 G01V2210/46 G06T11/006

    Abstract: Fast and a scalable algorithms and methods adaptable to available resources for computing (1) the DPRT on multicore CPUs by distributing the computation of the DPRT primary directions among the different cores, and (2) the DPRT on GPUs using parallel, distributed, and synchronized ray computations among the GPU cores with "ray" referring to one of the sums required for computing the DPRT or its inverse along a prime direction.

    Abstract translation: 快速且可扩展的算法和方法适用于计算(1)通过在不同核心之间分配DPRT主方向的计算的多核CPU上的DPRT,以及(2)DPRT在 在GPU核心之间使用并行,分布式和同步光线计算的GPU具有“射线” 指的是按照主要方向计算DPRT或其倒数所需的总和之一。

    SYSTEM AND METHODS FOR COMPUTING 2-D CONVOLUTIONS AND CROSS-CORRELATIONS
    2.
    发明申请
    SYSTEM AND METHODS FOR COMPUTING 2-D CONVOLUTIONS AND CROSS-CORRELATIONS 审中-公开
    用于计算二维卷积和互相关的系统和方法

    公开(公告)号:WO2017106603A1

    公开(公告)日:2017-06-22

    申请号:PCT/US2016/067102

    申请日:2016-12-16

    Applicant: STC.UNM

    CPC classification number: G06K9/522 G06F17/153 G06K9/00986 G06K9/4642

    Abstract: Fast and scalable architectures and methods adaptable to available resources, that (1) compute 2-D convolutions using 1-D convolutions, (2) provide fast transposition and accumulation of results for computing fast cross-correlations or 2-D convolutions, and (3) provide parallel computations using pipelined 1-D convolvers. Additionally, fast and scalable architectures and methods that compute 2-D linear convolutions using Discrete Periodic Radon Transforms (DPRTs) including the use of scalable DPRT, Fast DPRT, and fast 1-D convolutions.

    Abstract translation: (1)使用1-D卷积计算2-D卷积,(2)提供用于计算快速互相关的结果的快速换位和积累 或2-D卷积,以及(3)使用流水线一维卷积器提供并行计算。 此外,使用离散周期氡变换(DPRT)计算二维线性卷积的快速可扩展架构和方法,包括使用可扩展的DPRT,快速DPRT和快速一维卷积。

    SYSTEM AND METHODS FOR COMPUTING FORWARD AND INVERSE DISCRETE PERIODIC RADON TRANSFORM
    3.
    发明申请
    SYSTEM AND METHODS FOR COMPUTING FORWARD AND INVERSE DISCRETE PERIODIC RADON TRANSFORM 审中-公开
    用于计算前向和反向离散周期性RADON变换的系统和方法

    公开(公告)号:WO2015095064A1

    公开(公告)日:2015-06-25

    申请号:PCT/US2014/070371

    申请日:2014-12-15

    Applicant: STC.UNM

    Abstract: A fast and a scalable approach for computing the forward and inverse DPRT that uses: (i) a parallel array of fixed-point adder trees to compute the additions, (ii) circular shift registers to remove the need for accessing external memory components, (iii) an image block-based approach to DPRT computation that can fit the proposed architecture to available resources, and (iv) fast transpositions that are computed in one or a few clock cycles that do not depend on the size of the input image.

    Abstract translation: 用于计算正向和反向DPRT的快速和可扩展的方法,其使用:(i)用于计算加法的定点加法器树的并行阵列,(ii)循环移位寄存器以消除访问外部存储器组件的需要, iii)基于图像块的DPRT计算方法,其可以将所提出的架构适合于可用资源,以及(iv)在不依赖于输入图像的大小的一个或几个时钟周期内计算的快速转置。

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