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    • 22. 发明授权
    • Matrix decomposition using dataflow techniques
    • 使用数据流技术进行矩阵分解
    • US08825730B1
    • 2014-09-02
    • US13252562
    • 2011-10-04
    • Steven PerryColeman C. Cheung
    • Steven PerryColeman C. Cheung
    • G06F17/16
    • G06F17/16
    • Efficient and scalable circuitry for performing Cholesky decomposition is based on a dataflow style architecture which uses self-timed circuitry and eliminates the need for complicated state machines. Calculations are ordered such that partial sums of products are created in parallel subject to data dependency requirements, allowing a single accumulator to perform the summation. A Vector FIFO receives a partial sum of products from a vector processing engine. A Feedback FIFO stores partial results and feeds the partial results back to the data path based on signals from a dataflow controller. The circuitry is flexible to allow different matrix sizes, speed grades, and target frequencies without recompilation.
    • 用于执行Cholesky分解的高效和可扩展的电路基于使用自定时电路的数据流风格架构,并且不需要复杂的状态机。 按照数据依赖性要求并行创建产品的部分和来进行计算,允许单个累加器执行求和。 向量FIFO从矢量处理引擎接收产品的部分和。 反馈FIFO存储部分结果,并且基于来自数据流控制器的信号将部分结果反馈给数据路径。 该电路灵活,允许不同的矩阵尺寸,速度等级和目标频率,无需重新编译。