Parallel sorting algorithm optimization represents a critical area of research aimed at accelerating the arrangement of large data sets by exploiting modern multi-core and many-core architectures. By ...

Sorting. It’s a classic problem that’s been studied for decades, and it’s a great first step towards “thinking algorithmically.” Over the years, a handful of sorting algorithms have emerged, each ...

Parallel scan is a fundamental primitive widely used in a broad range of workloads, including parallel sorting, graph algorithms, and sampling in large language model inference. Although GPU-optimized ...