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View All on GitHubAI Summary: This issue requests the implementation of benchmarking functionality for both CPU and GPU code, including execution time measurement using specific timers (CUDA events for GPU, high-resolution clocks for CPU) and result comparison using an absolute difference metric. It also involves conducting a computational experiment to plot and analyze the performance complexities of CPU versus GPU implementations.
AI Summary: The issue requests a program written in CUDA C/C++ to calculate a function of real arguments using `float` type. It requires two implementations: one optimized for CPU execution and another for GPU execution. The specific function to be calculated is not provided in the issue body but is referenced as being from a 'given list'.