A polyhedral transformation technique identifies hidden matrix multiplications in programs and substitutes them with specialized CGRA kernels, delivering up to 9.1x speedups on benchmarks with various CGRA sizes.
An optimizing framework on mlir for efficient fpga- based accelerator generation
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Exploiting pre-optimized kernels with polyhedral transformations for CGRA compilation
A polyhedral transformation technique identifies hidden matrix multiplications in programs and substitutes them with specialized CGRA kernels, delivering up to 9.1x speedups on benchmarks with various CGRA sizes.