Abstract: The Single Instruction Multiple Data (SIMD) architecture, supported by various high-performance computing platforms, efficiently utilizes data-level parallelism. The SIMD model is used in ...
This are simple but very fast bindings in Odin to the f32 FFT and IFFT of KISS_FFT with SIMD SSE optimization for complex input and output values. The trick that makes this bindings so fast is the use ...
Abstract: In recent years, considerable research has focused on the use of custom hardware to accelerate deep learning on edge devices. However, the end-to-end flow of deep learning includes ...
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