SUMMARY
The discussion centers on finding efficient C code for performing a 2D Fast Fourier Transform (FFT) on large arrays, specifically 8192 x 8192 dimensions. Users reported unsatisfactory results from the Paul Bourke and Sanfoundry resources, citing slow computation times. Recommendations include using FFTW, a widely recognized library for FFT operations, which also supports GPU implementations for enhanced performance. Additionally, the Ooura FFT library is suggested as an alternative for those seeking different options.
PREREQUISITES
- Understanding of 2D Fast Fourier Transform (FFT) algorithms
- Familiarity with C programming language
- Knowledge of FFTW library and its functionalities
- Basic concepts of GPU computing for FFT acceleration
NEXT STEPS
- Explore the FFTW library documentation for implementation details
- Investigate the Ooura FFT library for alternative FFT solutions
- Learn about optimizing FFT performance on GPUs
- Research best practices for handling large data arrays in C
USEFUL FOR
Software developers, researchers in signal processing, and anyone involved in computational mathematics seeking efficient methods for performing 2D FFTs on large datasets.