The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

Propose the introduction of Radix Sort into TuGraph-Analytics to achieve improved sorting performance under specific data types and scales. The solution will dynamically select the optimal sorting ...

GPU-based sorting algorithms have emerged as a crucial area of research due to their ability to harness the immense parallel processing power inherent in modern graphics processing units. By ...

TuGraph-Analytics is a high-performance graph data analysis system that currently utilizes Java's built-in priority queue for sorting, which is primarily based on heap sort. However, when sorting keys ...

Abstract: Every algorithm has its own best-case as well as its worst-case scenario, so it is difficult to determine the best sorting algorithm just by its Big-O. Not only that, the amount of memory ...

Abstract: We focus on the improvement of data locality for the in-core sequential Radix sort algorithm for 32-bit positive integer keys. We propose a new algorithm that we call Cache Conscious Radix ...