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[cudamapper] compared to minimap2
Hi,
I've tried doing alignment by cudamapper over 3 datasets, and compared to that by minimap2. The time costs don't reduce much when compared to minimap2. In some cases, the running speeds of cudamapper are slower than minimap2, as shown in the below table.
| Name | wall time(s) | mem peak(G) | note | |
|---|---|---|---|---|
| data 1 | cudamapper | 650.63 | 10.87 | v100, 16G |
| minimap2_v2.20 | 1687.86 | 31.53 | -t 32 -k 17 -w 17 -x ava-ont | |
| data 2 | cudamapper | 11193 | 39.76 | v100, 16G |
| minimap2_v2.20 | 4491 | 19.21 | -t 32 -k 17 -w 17 -x ava-ont | |
| data 3 | cudamapper | 5958 | 27.4 | NVIDIA TITAN xp, 12G |
| minimap2_v2.20 | 4590 | 54.02 | -t 32 -x ava-ont |
Also, the sensitivity of the cudamapper alignments is lower than that of minimap2, which leads to the poorer assembly results based on cudamapper alignments of the 3 above datasets. The algorithm of cudamapper might need to be modified to get alignment results similar to minimap2.