Features/Benefits of CUDA
CUDA allows developers to take advantage of the parallel architecture of GPUs to perform multiple computations simultaneously, leading to a reduction in computational time.
CUDA provides significant speedup compared to CPU-only computations, especially for complex and data-intensive tasks.
Easy to use
CUDA provides a high-level API and tools that make it relatively easy to develop, debug and optimize GPU-accelerated applications.
Compatible with a variety of languages
CUDA supports various programming languages including C, C++, and Python, making it accessible to a wide range of developers.
High performance computing
CUDA provides a high-level programming model for GPUs that enables high-performance computing for a wide range of applications.
NVIDIA GPUs with CUDA support are widely available and supported by many software packages, making it easy to get started with parallel computing.