Hi,
I have just finished some basic benchmarking of the three different compression
methods I am playing with with some very surprising results (to me anyway : ) I
created a small test app that used either the current GL context, NVTT with
CUDA or vanilla CPU based NVTT to compress an image to a specified format. The
image was compressed ten times and the total time taken is given in seconds. I
ran the tests on two machines (one laptop and one desktop).
Desktop Win7 3.2ghz CPU Geforce GTX275
--------------------------------------
CPU CUDA GL
DXT1 17.0 1.47 0.66
DXT1a 14.22 0.47
DXT3 12.58 1.48 0.52
Laptop Win7 3.17ghz CPU ATI Mobility FireGL V5700
-------------------------------------------------
CPU GL
DXT1 18.61 3.913
DXT1a 20.65 3.948
DXT3 18.13 0.977
The main surprise for me was how much faster using the current GL approach is
compared to using NVTT. There is a big difference between the two video cards
but both are much faster than the CPU. I was a bit disappointed at the CUDA
results especially given this will only work on Nvidia cards and some formats
(the DXT1a cuda score isn't given as this output format doesn't support cuda
acceleration atm).
Before these tests I was leaning towards defaulting to using NVTT for maximum
compatibility but this doesn't look so good now.
Cheers,
Brad
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