Random Chitchat 2012-2016

[xoft]

Oh no, I meant, before even installing the powersupply into the computer

[FakeTruth]

Use a multimeter? idk

[xoft]

I wonder if this thing would run MCServer acceptably
http://www.tinydeal.com/mk808-16ghz-rk30...70725.html

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I've just given away my MK802, since its wifi was gone, it was of no use to me; brother-in-law seemed interested so maybe he can play with it

[xoft]

I'm currently fighting through the cNoise optimization, trying to figure the best way to attack it. At first I want to implement a 2D-only case, as a testbed for performance comparison. If it's found worth it, I'll expand it into 3D.

[xoft]

Initial tests look very promising:

Code:

[0ef0|21:11:23] cCubicNoise generating 100 * 256x256 values took 1029 ticks (1.03 sec)
[0ef0|21:11:31] cNoise generating 100 * 256x256 values took 8198 ticks (8.20 sec)

So we get an 8-fold increase in the noise generator. But I still believe I can make that 10-fold, at least, there's a few tricks left up my sleeve

[NiLSPACE]

wow 8 times faster :O

[xoft]

Well, it does NOT mean that generating will be that much faster; noise generation is only a part of the whole thing.
2D noise generation is about 10 % of the whole generating time, 3D noise generation is about 16 %. So if the noise speedup stayed at 8-fold, whole generating will speed up about 22 %.

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But more importantly, it will allow us to make overhangs

[NiLSPACE]

:D overhangs

[xoft]

Silly me, I've been comparing performance in Debug mode again. Of course it needs to be done in Release.
So here's a Release mode comparison of the same algorithms:

Code:

[21:40:01] cCubicNoise generating 500 * 256x256 values took 670 ticks (0.67 sec)
[21:40:05] cNoise generating 500 * 256x256 values took 3678 ticks (3.68 sec)

So the speedup is "only" 5.5x.

However, after two more rounds of code optimizing, I was able to squeeze out some more:

Code:

[21:52:49] cCubicNoise generating 1000 * 256x256 values took 1138 ticks (1.14 sec)
[21:52:56] cNoise generating 1000 * 256x256 values took 7403 ticks (7.40 sec)
[21:52:56] New method is 6.51x faster

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Oh yeah!

Code:

[22:31:47] cCubicNoise generating 1000 * 256x256 values took 701 ticks (0.70 sec)
[22:31:54] cNoise generating 1000 * 256x256 values took 7404 ticks (7.40 sec)
[22:31:54] New method is 10.56x faster

(Just changed datatype from double to float)

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I think I've hit the sweet spot now:

Code:

[22:38:19] cCubicNoise generating 1000 * 256x256 values took 686 ticks (0.69 sec)
[22:38:27] cNoise generating 1000 * 256x256 values took 7403 ticks (7.40 sec)
[22:38:27] New method is 10.79x faster

Changed datatype back to doubles, but re-implemented the CubicInterpolate() method for doubles, thus eliminating the conversion back and forth between doubles and floats.

[FakeTruth]

Impressive :O