This document discusses accelerating the seam carving algorithm for image resizing using CUDA (Compute Unified Device Architecture) on a GPU (graphics processing unit). Seam carving is a content-aware image resizing technique that identifies paths of least importance (seams) through an image that can be removed or inserted to change the image size. The document explains that seam carving involves large matrix calculations that can be significantly accelerated by implementing them in parallel on a CUDA-enabled GPU. It presents the seam carving algorithm, describes CUDA and GPU architecture, proposes implementing seam carving using CUDA to achieve speed-ups, and concludes that parallelizing seam carving calculations on a GPU exploits its massive parallelism for faster execution compared to