Element-wise subtraction is a common operation in numerical computing, signal processing, and data science, where corresponding elements of two arrays are subtracted and stored in a result array. Modern CPUs...

Normalizing data is a common preprocessing step in many scientific and machine learning applications, and one of the widely used methods for normalization is the L-infinity norm. The L-infinity norm...

Calculating the mean of an array is a common operation that involves summing all elements and dividing by the number of elements. When using SIMD, we can perform this calculation...

When working with large datasets, calculating the sum of array elements can be time-consuming if processed one element at a time. By using SIMD instructions, we can process multiple elements...

When working with large datasets in data analysis, statistics, or scientific computing, calculating metrics like standard deviation can become time-consuming. Standard deviation, which measures how spread out numbers are in...

Counting negative elements in an array is a common task that can be optimized with SIMD operations. Using SIMD allows us to process multiple elements simultaneously, enhancing performance, especially for...

Counting positive elements in an array is a common task, especially in fields like signal processing and data analysis, where you need to filter or transform data based on conditions...

Git LFS (Large File Storage) is an extension of Git that allows users to manage and track large files, such as high-resolution images, videos, audio files, and other large assets...

Counting non-zero elements in an array is a common task in data analysis, signal processing, and machine learning. For large datasets, performing this operation efficiently is crucial. Using SIMD allows...

In many applications, such as signal processing, machine learning, and data analysis, it's common to apply a sign function to array elements. This function evaluates each element, returning 1 if...