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Having said this, it is currently not feasible to perform phase-coherent dispersion removal across a 10 MHz band at the low end of Band 1 (e.g. centre frequency around 355 MHz) out to the maximum DM of 3000, where the minimum required FFT length is 64 megasamples. This transform length is possible, but the computational burden and GPU RAM required to span the desired bandwidth (i.e. N x 10MHz sub-bands) will likely exceed what can be done in real time with the current design. I don't have a benchmark handy to support this, but I can work on something to explore the tradeoffs; e.g. by reducing the number of pulsars observed simultaneously and dividing the band over multiple processing nodes, greater compute resources can be focused on the extreme systems with both high DM and high temporal resolution requirements.  \appendices  \section{Fluctuation Power Spectra}  \label{app:fluct}  The black line is total intensity and the red line is polarized intensity. The top-right corner lists pulsar name, nominal observing frequency, and total integration length in hours.