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    • 1. 发明授权
    • System for convergence evaluation for stationary method iterative linear solvers
    • 用于固定方法迭代线性求解器的收敛估计系统
    • US09176928B2
    • 2015-11-03
    • US12498808
    • 2009-07-07
    • Matthew P. DeLaquilDeepak PrasannaAntone L. Kusmanoff
    • Matthew P. DeLaquilDeepak PrasannaAntone L. Kusmanoff
    • G06F17/14G06F7/38G06F7/32H03M13/00G06F17/12
    • G06F17/12
    • A system for evaluating the convergence to a solution for a matrix equation comprises at least one reconfigurable computing device such as a field programmable gate array (FPGA), an update storage element, a conversion element, a summation unit, and a comparator. The FPGA includes a plurality of configurable logic elements and a plurality of configurable storage elements, which are utilized to form the update storage element, the conversion element, the summation unit, and the comparator. The update storage element is configured to store a plurality of updates. The conversion element determines the absolute value of the updates. The summation unit accumulates the absolute values of the updates to produce a total sum, which is compared to a convergence factor by the comparator. Convergence is signaled when the total sum is less than the convergence factor.
    • 用于评估矩阵方程的收敛的系统包括至少一个可重构计算装置,例如现场可编程门阵列(FPGA),更新存储元件,转换元件,求和单元和比较器。 FPGA包括用于形成更新存储元件,转换元件,求和单元和比较器的多个可配置逻辑元件和多个可配置存储元件。 更新存储元件被配置为存储多个更新。 转换元素决定更新的绝对值。 求和单元累积更新的绝对值以产生总和,其通过比较器与收敛因子进行比较。 当总和小于收敛因子时,会发出收敛信号。
    • 3. 发明授权
    • System for conjugate gradient linear iterative solvers
    • 共轭梯度线性迭代求解器系统
    • US08577949B2
    • 2013-11-05
    • US12498800
    • 2009-07-07
    • Matthew P. DeLaquilDeepak PrasannaAntone L. Kusmanoff
    • Matthew P. DeLaquilDeepak PrasannaAntone L. Kusmanoff
    • G06F7/48G06F7/00G06F7/38G06F17/14G06F7/32G06F7/52G06F7/60
    • G06F17/12
    • A system for a conjugate gradient iterative linear solver that calculates the solution to a matrix equation comprises a plurality of gamma processing elements, a plurality of direction vector processing elements, a plurality of x-vector processing elements, an alpha processing element, and a beta processing element. The gamma processing elements may receive an A-matrix and a direction vector, and may calculate a q-vector and a gamma scalar. The direction vector processing elements may receive a beta scalar and a residual vector, and may calculate the direction vector. The x-vector processing elements may receive an alpha scalar, the direction vector, and the q-vector, and may calculate an x-vector and the residual vector. The alpha processing element may receive the gamma scalar and a delta scalar, and may calculate the alpha scalar. The beta processing element may receive the residual vector, and may calculate the delta scalar and the beta scalar.
    • 用于计算矩阵方程的解的共轭梯度迭代线性求解器的系统包括多个伽马处理元件,多个方向向量处理元件,多个x向量处理元件,α处理元件和β 处理元件。 伽马处理元件可以接收A矩阵和方向向量,并且可以计算q向量和伽马标量。 方向向量处理元件可以接收β标量和残差向量,并且可以计算方向向量。 x向量处理元件可以接收α标量,方向向量和q向量,并且可以计算x向量和残差向量。 阿尔法处理元件可以接收伽马标量和三角形标量,并且可以计算阿尔法标量。 β处理单元可以接收剩余向量,并且可以计算Δ标量和β标量。
    • 4. 发明申请
    • SYSTEM FOR CONVERGENCE EVALUATION FOR STATIONARY METHOD ITERATIVE LINEAR SOLVERS
    • 迭代线性解算器的综合评估系统
    • US20110010410A1
    • 2011-01-13
    • US12498808
    • 2009-07-07
    • Matthew P. DeLaquilDeepak PrasannaAntone L. Kusmanoff
    • Matthew P. DeLaquilDeepak PrasannaAntone L. Kusmanoff
    • G06F7/38G06F15/00G06F7/50
    • G06F17/12
    • A system for evaluating the convergence to a solution for a matrix equation comprises at least one reconfigurable computing device such as a field programmable gate array (FPGA), an update storage element, a conversion element, a summation unit, and a comparator. The FPGA includes a plurality of configurable logic elements and a plurality of configurable storage elements, which are utilized to form the update storage element, the conversion element, the summation unit, and the comparator. The update storage element is configured to store a plurality of updates. The conversion element determines the absolute value of the updates. The summation unit accumulates the absolute values of the updates to produce a total sum, which is compared to a convergence factor by the comparator. Convergence is signaled when the total sum is less than the convergence factor.
    • 用于评估矩阵方程的收敛的系统包括至少一个可重构计算装置,例如现场可编程门阵列(FPGA),更新存储元件,转换元件,求和单元和比较器。 FPGA包括用于形成更新存储元件,转换元件,求和单元和比较器的多个可配置逻辑元件和多个可配置存储元件。 更新存储元件被配置为存储多个更新。 转换元素决定更新的绝对值。 求和单元累积更新的绝对值以产生总和,其通过比较器与收敛因子进行比较。 当总和小于收敛因子时,会发出收敛信号。
    • 6. 发明申请
    • SYSTEM FOR CONJUGATE GRADIENT LINEAR ITERATIVE SOLVERS
    • 用于并联梯度线性迭代解算器的系统
    • US20110010409A1
    • 2011-01-13
    • US12498800
    • 2009-07-07
    • Matthew P. DeLaquilDeepak PrasannaAntone L. Kusmanoff
    • Matthew P. DeLaquilDeepak PrasannaAntone L. Kusmanoff
    • G06F7/38G06F7/32
    • G06F17/12
    • A system for a conjugate gradient iterative linear solver that calculates the solution to a matrix equation comprises a plurality of gamma processing elements, a plurality of direction vector processing elements, a plurality of x-vector processing elements, an alpha processing element, and a beta processing element. The gamma processing elements may receive an A-matrix and a direction vector, and may calculate a q-vector and a gamma scalar. The direction vector processing elements may receive a beta scalar and a residual vector, and may calculate the direction vector. The x-vector processing elements may receive an alpha scalar, the direction vector, and the q-vector, and may calculate an x-vector and the residual vector. The alpha processing element may receive the gamma scalar and a delta scalar, and may calculate the alpha scalar. The beta processing element may receive the residual vector, and may calculate the delta scalar and the beta scalar.
    • 用于计算矩阵方程的解的共轭梯度迭代线性求解器的系统包括多个伽马处理元件,多个方向向量处理元件,多个x向量处理元件,α处理元件和β 处理元件。 伽马处理元件可以接收A矩阵和方向向量,并且可以计算q向量和伽马标量。 方向向量处理元件可以接收β标量和残差向量,并且可以计算方向向量。 x向量处理元件可以接收α标量,方向向量和q向量,并且可以计算x向量和残差向量。 阿尔法处理元件可以接收伽马标量和三角形标量,并且可以计算阿尔法标量。 β处理单元可以接收剩余向量,并且可以计算Δ标量和β标量。