<ul><li>UPC is a high-level parallel programming language designed for distributed memory systems, employing a Partitioned Global Address Space (PGAS) model.</li><li>MPI is a standard for message-passing on distributed memory systems, offering fine-grained control over communication.</li><li>CUDA is a parallel computing platform specifically for NVIDIA GPUs, excelling at data-parallel workloads.</li><li>Selecting the right parallel programming paradigm requires considering hardware capabilities, application requirements, and developer expertise.</li></ul>

UPC vs MPI vs CUDA: Choosing the Right Parallel Programming Approach

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