Based on the provided context, here is a well-structured guide to CUDA:
Based on the provided context, here is a well-structured guide to CUDA:
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CUDA is a **parallel computing platform and programming model** developed by NVIDIA. It enables dramatic increases in computing performance by harnessing the power of the GPU (Graphics Processing Unit). It allows developers to accelerate compute-intensive applications, widely used in fields such as **deep learning**, **scientific computing**, and **high-performance computing (HPC)**.
- **Parallel Computing**: Leverages the massive parallel processing capabilities of GPUs.
- **GPU Acceleration**: Offloads computationally heavy tasks to the GPU for faster execution.
- **CUDA Programming Model**: Combines high-level languages (e.g., C++, Python) with directives and libraries for GPU programming.
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The CUDA programming model is designed to execute code on NVIDIA GPUs. It consists of two main components: