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...

Applying a binary threshold to an array, where each element is set to 1 if it exceeds a threshold and 0 otherwise, is a common operation in image processing, computer...

Negating all elements in an array is a common operation in applications such as signal processing, image manipulation, and scientific computations. For small datasets, a scalar approach is adequate. However...

Finding the maximum element in an array is a common operation in many applications, including graphics, data analysis, and machine learning. While a straightforward scalar approach can effectively handle small...

Calculating the reciprocal square root is a frequent operation in scientific computing, machine learning, and graphics applications. A scalar implementation of this operation works well for small datasets. However, for...