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Unpacked that list has a size of MB. Only one CPU core was used as only one file was searched. As stated above, this benchmark was performed on a large server with many CPUs and enough RAM to cache the whole test data.
This was done to show sift's ability to search concurrently and to scale linearly with the number of available CPUs. A typical use case for this are forensic analyses of log data which are often done on large servers to achieve maximum performance.
I found some public web logs here - the sample for July contains about MB of weblogs. The test scripts duplicate this data in 32 files each about 1GB in size and add one line that is searched for to one log file randomly selected.
The benchmarks can be reproduced using Amazon AWS: create a new c3. Therefore, the proposed method lends itself to digital implementation in a simple and straightforward manner.
These distinguishing features allow the SFT-PLL to be especially appropriate for interfacing weak single-phase micro-grids where high harmonic distortion and frequency variations are common characteristics.
A Simulink file contains the method implementation and compares it with the second-order generalized integrator phase-locked loop SOGI-PLL to validate the effectiveness and advantages of the proposed method under changing grid conditions.
The implementations given here is based on a continuous-time Fourier transform where the integration of signals is used instead of accumulation.
The discrete form can be easily implemented by replacing integrators with accumulators and by dividing by the number of samples instead of dividing on the periodic time for the averaging process of Fourier Transform.
The discrete form is, of course, more efficient regarding the number of math operations and the use of calculations resources. Saturation is a result of the limited capacity of numbers used by DSPs workarounds can be advised by contacting the contributor.
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