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...
C++
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...
In computational tasks, comparing and finding the maximum values from two arrays is a common operation. While a scalar implementation works well for small datasets, it can become a bottleneck...
For many applications requiring mathematical operations over large datasets, performance is critical. Calculating the reciprocal of each element in an array is one such task. While a basic scalar implementation...
Normalization is a widely used technique in data processing. One popular method is normalization using the L2 norm, which also known as Euclidean normalization. It scales an array so that...