improve performance of buffer in mesh code

[SimonDanisch]

No description provided.

[MakieBot]

Compile Times benchmark

Note, that these numbers may fluctuate on the CI servers, so take them with a grain of salt. All benchmark results are based on the mean time and negative percent mean faster than the base branch. Note, that GLMakie + WGLMakie run on an emulated GPU, so the runtime benchmark is much slower. Results are from running:

using_time = @ctime using Backend
# Compile time
create_time = @ctime fig = scatter(1:4; color=1:4, colormap=:turbo, markersize=20, visible=true)
display_time = @ctime Makie.colorbuffer(display(fig))
# Runtime
create_time = @benchmark fig = scatter(1:4; color=1:4, colormap=:turbo, markersize=20, visible=true)
display_time = @benchmark Makie.colorbuffer(display(fig))

	using	create	display	create	display
GLMakie	13.23s (12.58, 13.95) 0.43+-	1.20s (1.16, 1.26) 0.04+-	805.99ms (760.06, 847.92) 30.33+-	11.84ms (11.35, 12.40) 0.41+-	104.22ms (102.04, 106.30) 1.64+-
master	13.26s (12.83, 13.85) 0.35+-	1.19s (1.15, 1.25) 0.04+-	807.89ms (781.00, 832.18) 18.85+-	11.99ms (11.47, 12.35) 0.36+-	103.59ms (101.28, 107.37) 2.24+-
evaluation	-0.21%, -0.03s invariant (-0.07d, 0.89p, 0.39std)	+0.64%, 0.01s invariant (0.20d, 0.72p, 0.04std)	-0.24%, -1.89ms invariant (-0.08d, 0.89p, 24.59std)	-1.26%, -0.15ms invariant (-0.39d, 0.48p, 0.39std)	+0.61%, 0.63ms invariant (0.32d, 0.56p, 1.94std)
CairoMakie	10.30s (10.20, 10.43) 0.08+-	1.03s (1.02, 1.04) 0.01+-	210.83ms (209.20, 213.23) 1.50+-	10.27ms (10.21, 10.35) 0.05+-	6.08ms (5.94, 6.15) 0.08+-
master	10.42s (10.35, 10.52) 0.05+-	1.04s (1.03, 1.05) 0.01+-	225.61ms (221.91, 231.57) 3.10+-	10.54ms (10.45, 10.60) 0.05+-	6.24ms (6.19, 6.28) 0.04+-
evaluation	-1.23%, -0.13s faster ✓ (-1.95d, 0.00p, 0.06std)	-0.80%, -0.01s invariant (-0.99d, 0.09p, 0.01std)	-7.01%, -14.78ms faster✅ (-6.07d, 0.00p, 2.30std)	-2.65%, -0.27ms faster ✓ (-5.57d, 0.00p, 0.05std)	-2.51%, -0.15ms faster ✓ (-2.51d, 0.00p, 0.06std)
WGLMakie	17.28s (16.82, 17.69) 0.33+-	1.69s (1.60, 1.81) 0.08+-	16.51s (16.20, 16.84) 0.23+-	24.99ms (22.64, 29.59) 2.26+-	1.56s (1.49, 1.65) 0.05+-
master	17.28s (17.09, 17.63) 0.19+-	1.73s (1.65, 1.84) 0.06+-	16.39s (16.12, 16.82) 0.23+-	23.21ms (22.38, 24.92) 0.98+-	1.58s (1.55, 1.69) 0.05+-
evaluation	+0.04%, 0.01s invariant (0.02d, 0.97p, 0.26std)	-2.12%, -0.04s invariant (-0.53d, 0.34p, 0.07std)	+0.70%, 0.12s invariant (0.50d, 0.37p, 0.23std)	+7.11%, 1.78ms noisy🤷‍♀️ (1.02d, 0.09p, 1.62std)	-1.77%, -0.03s invariant (-0.55d, 0.33p, 0.05std)