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KERNEL CONVOLUTION FOR STENCIL COMPUTATION OPTIMIZATION

机译:内核卷积优化的钢模计算

摘要

Data processing techniques are provided to increase a computational speed of iterative computations that are performed over a domain of data points, such as stencil computations. For example, a method includes loading a set of domain data points into a cache memory; obtaining an iteration count T, and a base stencil operator having a first set of coefficients; generating a convolved stencil operator having a second set of coefficients, wherein the convolved stencil operator is generated by convolving the base stencil operator with itself at least one time; and iteratively processing the set of domain data points in the cache memory using the convolved stencil operator no more than T/2 iterations to obtain final processing results. The final processing results are similar to processing results that would be obtained by iteratively processing the set of domain data points using the base stencil operator for the iteration count T.
机译:提供数据处理技术以提高在数据点的域上执行的迭代计算(例如模板计算)的计算速度。例如,一种方法包括将一组域数据点加载到高速缓冲存储器中。获得迭代计数T,以及具有第一组系数的基本模板运算符;生成具有第二组系数的卷积模版算子,其中,通过使基本模版算子与自身至少卷积一次来生成卷积模版算子;然后使用不超过T / 2次迭代的卷积模版运算符迭代处理高速缓存中的域数据点集,以获得最终处理结果。最终处理结果类似于通过使用基本模板运算符对迭代计数T迭代处理域数据点集而获得的处理结果。

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