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Our implementation processes four characters per clock cycle (maximum performance of state of the art solutions) and occupies only O(n) memory (where n is the length of the regular expression) via synthesizing the verilog description and analyzing area/time constraints, SMPU can achieve 200 400 times speedup over traditional CPU implementations and up to 7.9 Gbps in processing throughput.
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The scheme can spare the test time by the test-per-clock arrangement.
The estimated parameters were: station clocks (excluding the reference clock) modelled as quadratic polynomials (three parameters per clock), the troposphere with one Zenith Wet Delay (ZWD) per station, and the target parameter UT1 UTC.
The throughput achieved is one pixel per clock cycle.
The throughput achieved is 1 pixel per clock cycle.
We use 200 time steps per clock cycle.
The sensitivity list of the process contains the clock signal and therefore the code is executed once per clock cycle.
The sensitivity list of our process contains the clock signal and therefore the code is executed once per clock cycle.
Rather than executing more instructions per second through clock-rate escalation, superscalar processors execute multiple instructions per clock cycle through parallel execution pipelines.
It is able to decode almost one symbol per clock cycle, while consuming limited hardware resources.
This enables us to access single BRAM 4 times per clock.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com