This code is inspired by Cache-friendly, Parallel, and Samplesort-based Constructor for Suffix Arrays and LCP Arrays. We copied many ideas from the original C++ implementation CaPS-SA, most notably ...

Tired of out-of-memory errors derailing your data analysis? There's a better way to handle huge arrays in Python.

Abstract: Computing-In-Memory (CIM) is widely applied in neural networks due to its unique capability to perform multiply-and-accumulate operations within a circuit array. This process directly ...