What are some popular tools for parallel programming?
Some popular tools for parallel programming include OpenMP, MPI, and CUDA. Each has its own strengths depending on the application.
Can you explain how OpenMP works?
OpenMP is an API that supports multi-platform shared memory multiprocessing programming in C, C++, and Fortran. It uses compiler directives to specify parallel regions.
What about MPI? How is it different from OpenMP?
MPI, or Message Passing Interface, is designed for distributed memory systems. Unlike OpenMP, which is for shared memory, MPI allows processes to communicate over a network.
Are there any specific use cases where CUDA is preferred?
CUDA is preferred for applications that require heavy computations, like deep learning and scientific simulations, as it leverages NVIDIA GPUs for parallel processing.
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