Fast and Scalable Matrix Multiply using spark, breeze and BLAS libraries
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Updated
Oct 13, 2020 - JavaScript
Fast and Scalable Matrix Multiply using spark, breeze and BLAS libraries
Calculate the sum of double-precision floating-point strided array elements, ignoring NaN values and using ordinary recursive summation.
Construct a Givens plane rotation.
Calculate the dot product of two single-precision floating-point vectors.
Copy values from one complex double-precision floating-point vector to another complex double-precision floating-point vector.
Calculate the cumulative sum of strided array elements using pairwise summation.
Adds a constant to each single-precision floating-point strided array element and computes the sum using pairwise summation with extended accumulation and returning an extended precision result.
Calculate the sum of absolute values (L1 norm) of single-precision floating-point strided array elements using pairwise summation.
Calculate the sum of double-precision floating-point strided array elements, ignoring NaN values and using ordinary recursive summation.
Calculate the dot product with extended accumulation and result of two single-precision floating-point vectors.
Simultaneously sort two double-precision floating-point strided arrays based on the sort order of the first array using Shellsort.
Calculate the sum of strided array elements, ignoring NaN values and using ordinary recursive summation.
Calculate the cumulative sum of strided array elements using an improved Kahan–Babuška algorithm.
Add a constant to each strided array element and compute the sum using a second-order iterative Kahan–Babuška algorithm.
Simultaneously sort two single-precision floating-point strided arrays based on the sort order of the first array using Shellsort.
Calculate the sum of absolute values (L1 norm) of double-precision floating-point strided array elements using pairwise summation.
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