High performance algorithms in C#: SIMD/SSE, multi-core and faster
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Updated
Feb 12, 2024 - C#
High performance algorithms in C#: SIMD/SSE, multi-core and faster
🐍 A Collection of Notes for Learning & Understanding Deep Learning / Machine Learning / Artificial Intelligence (AI) with TensorFlow 🐍
Sum and cumulative sum using the Kahan-Babuska-Neumaier algorithm
This repository contains 1,000 files, each containing 100,000 Integers ... your task is to sum all integers in all files
Preliminary code to test truncation algorithms for infinite series and their applications in Statistics.
Calculate the cumulative sum of single-precision floating-point strided array elements using an improved Kahan–Babuška algorithm.
Compute a sum of products incrementally.
Calculate the cumulative sum of strided array elements.
Calculate the sum of single-precision floating-point strided array elements.
Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values, using extended accumulation, and returning an extended precision result.
Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values, using ordinary recursive summation with extended accumulation, and returning an extended precision result.
Adding and subtracting binary numbers
Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values and using ordinary recursive summation.
Calculate the cumulative sum of double-precision floating-point strided array elements using a second-order iterative Kahan–Babuška algorithm.
Calculate the sum of double-precision floating-point strided array elements, ignoring NaN values and using an improved Kahan–Babuška algorithm.
Compute the sum of five double-precision floating-point numbers.
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.
Create an iterator which iteratively computes a moving sum of squared absolute values.
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