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Parallel decomposition algorithm using decimation operation for 2D discrete convolution operation

机译:二维离散卷积运算的使用抽取运算的并行分解算法

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Abstract: The proposed decomposition algorithm follows the divide-and-conquer approach. Specifically, operands of discrete convolution operation are decomposed into smaller units, computed separately, and then combined for the final result. The decomposition of the operands is based on integer modular arithmetic from Number Theory. Operands are treated as ordered set, and integer modular arithmetic is used to partition these sets into congruent subsets. It is basically a Decimation by p operation, where p is the common factor of the operands' sizes. Since the proposed decomposition algorithm is an isomorphism, the decomposed convolution operation is equivalent to the original one. Processing speed is increased by implementing these decomposed convolution operations in parallel. The proposed algorithm is similar to the well- known Block convolution except that it is more suitable for parallel implementation. Because the decomposed operations are highly regular and independent, it is also suitable for VLSI implementation.!12
机译:摘要:提出的分解算法遵循分而治之的方法。具体来说,离散卷积运算的操作数被分解为较小的单位,分别进行计算,然后合并为最终结果。操作数的分解基于“数论”中的整数模运算。操作数被视为有序集,并且使用整数模算术将这些集划分为一致的子集。它基本上是p运算的抽取,其中p是操作数大小的公因子。由于所提出的分解算法是同构的,因此分解的卷积运算与原始的等效。通过并行执行这些分解的卷积运算,可以提高处理速度。所提出的算法与众所周知的块卷积相似,不同之处在于它更适合于并行实现。因为分解后的操作是高度规则且独立的,所以它也适用于VLSI实现。!12

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