Tootfinder

Starting to look at some performance improvements for various scopehal filters as I begin the push for v0.2.
The benchmark dataset is P/N legs of 100baseTX Ethernet sampled at 500 Msps with a ThunderScope.
At 50M point memory depth, each waveform is 100 MB in size (2 channels * 8 bits * 500 Msps) and covers 100ms of real time.
The filter graph currently takes just shy of a second to run, meaning we're at 10% of real time. I want to improve on this.

Current summary of all of the GPU acceleration work I've been doing in ngscopeclient since v0.1.1.
Other than the CDR PLL and eye pattern which were high-priority targets that were worth the effort, and the Ethernet which I got nerdsniped on, these are all trivial inner loops of just a few lines that I threw at the GPU without any significant tuning, so there's probably more performance upside.
But I'm not complaining with what I've pulled off so far. (As you ca…