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A traditional filter works like a long chain of people passing a message around: each waits for the previous one to finish. That's slow. Engineers applied a clever method — cyclic reduction. They rearrange data so that dependencies between samples become not long chains but small groups. Now the process resembles the game of Telephone, where after each round the number of participants is halved: information is merged and quickly reaches everyone. This trick allows modern processors, like Meteor Lake chips, to process several signals simultaneously, like many short phone lines instead of one long one. AVX2 technology speeds up calculation like the speed of light in optical fiber compared to copper wire. Pioneers of parallel computing John von Neumann and John Bardeen laid the groundwork for such architectures. As a result, a 16th-order filter processes up to 618 million samples per second on a single core — 8 times faster than standard solutions. It's a step toward instant audio and signal processing in science, for instance when studying pulsars or spectroscopy of distant galaxies.