This example demonstrates an efficient CUDA implementation of parallel prefix sum, also known as "scan". Given an array of numbers, scan computes a new array in which each element is the sum of all the elements before it in the input array.

Key Concepts

Data-Parallel Algorithms, Performance Strategies

Supported SM Architectures

SM 5.0 SM 5.2 SM 5.3 SM 6.0 SM 6.1 SM 7.0 SM 7.2 SM 7.5 SM 8.0 SM 8.6 SM 8.7 SM 8.9 SM 9.0

Supported OSes

Linux, Windows

Supported CPU Architecture

x86_64, armv7l

CUDA APIs involved

CUDA Runtime API

cudaMalloc, cudaDeviceSynchronize, cudaMemcpy, cudaFree

Prerequisites

Download and install the CUDA Toolkit 12.5 for your corresponding platform.

README.md

scan - CUDA Parallel Prefix Sum (Scan)

Description