Performance Analysis: C vs CUDA
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The document discusses implementing solutions to the n-queens problem using both CPU and GPU architectures. It describes three CPU solutions: a single-threaded depth-first recursive approach, a single-threaded depth-first plain approach, and an N-threaded depth-first plain approach using pthreads. It also describes three GPU solutions: a step-based breadth-first approach using static memory, another step-based breadth-first approach using dynamic memory, and a plain depth-first dynamic memory version. The goals are to learn CUDA, implement n-queens solutions in both C++ and CUDA, and compare the performance between CPU and GPU implementations.
