Ainsworth, Sam

Armengol Estapé, Jordi

O'Boyle, Michael F P

Woodruff, Jackson

English

Specialized hardware accelerators continue to be a source of performance improvement. However, such specialization comes at a programming price. The fundamental issue is that of a mismatch between the diversity of user code and the functionality of fixed hardware, limiting its wider uptake. Here we focus on a particular set of accelerators: those for Fast Fourier Transforms. We present FACC (Fourier ACcelerator Compiler), a novel approach to automatically map legacy code to Fourier Transform accelerators. It automatically generates drop-in replacement adapters using InputOutput (IO)-based program synthesis that bridge the gap between user code and accelerators. We apply FACC to unmodified GitHub C programs of varying complexity and compare against two existing approaches. We target FACC to a high-performance library, FFTW, and two hardware accelerators, the NXP PowerQuad and the Analog Devices FFTA, and demonstrate mean speedups of 9x, 17x and 27x respectively

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Bind the Gap: Compiling Real Software to Hardware FFT Accelerators

https://www.research.ed.ac.uk/files/260330366/Bind_the_Gap_WOODRUFF_DOA25022022_AFV.pdf

Bind the Gap: Compiling Real Software to Hardware FFT Accelerators

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