Implementation and Evaluation of Parallel FFT Using SIMD Instructions on Multi-core Processors

In this paper, an implementation of a parallel two- dimensional fast Fourier transform (FFT) using short vector SIMD instructions on multi-core processors is proposed. Combination of vectorization and the block two- dimensional FFT algorithm is shown to effectively improve performance. We vectorized FFT kernels using Intel's streaming SIMD extensions 3 (SSE3) instruction. The performance results for two-dimensional FFTs on multi-core processors are reported. We succeeded in obtaining a performance of over 2.7 GFLOPS on a dual-core Intel Xeon (2.8 GHz, two CPUs, four cores) and over 3.3 GFLOPS on an Intel Core2 Duo E6600 (2.4 GHz, one CPU, two cores) for a 2
¹⁰
times 2
¹⁰
-point FFT.