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arXiv · 2308.00497

Leveraging MLIR for Loop Vectorization and GPU Porting of FFT Libraries

Yifei He·Artur Podobas·Stefano Markidis
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Abstract

FFTc is a Domain-Specific Language (DSL) for designing and generating Fast Fourier Transforms (FFT) libraries. The FFTc uniqueness is that it leverages and extend Multi-Level Intermediate Representation (MLIR) dialects to optimize FFT code generation. In this work, we present FFTc extensions and improvements such as the possibility of using different data layout for complex-value arrays, and sparsification to enable efficient vectorization, and a seamless porting of FFT libraries to GPU systems. We show that, on CPUs, thanks to vectorization, the performance of the FFTc-generated FFT is comparable to performance of FFTW, a state-of-the-art FFT libraries. We also present the initial performance results for FFTc on Nvidia GPUs.

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Yifei He, Artur Podobas, Stefano Markidis. 2023-08-01. Leveraging MLIR for Loop Vectorization and GPU Porting of FFT Libraries. https://arxiv.org/abs/2308.00497

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