FFT in D (using SIMD) and benchmarks
a
a at a.com
Tue Jan 24 16:04:10 PST 2012
Since SIMD types were added to D I've ported an FFT that I was
writing in C++ to D. The code is here:
https://github.com/jerro/pfft
Because dmd currently doesn't have an intrinsic for the SHUFPS
instruction I've included a version block with some GDC specific
code (this gave me a speedup of up to 80%). I've benchmarked the
scalar and SSE version of code compiled with both DMD and GDC and
also the c++ code using SSE. The results are below. The left
column is base two logarithm of the array size and the right
column is GFLOPS defined as the number of floating point
operations that the most basic FFT algorithm would perform
divided by the time taken (the algorithm I used performs just a
bit less operations):
GFLOPS = 5 n log2(n) / (time for one FFT in nanoseconds) (I
took that definition from http://www.fftw.org/speed/ )
Chart: http://cloud.github.com/downloads/jerro/pfft/image.png
Results:
GDC SSE:
2 0.833648
3 1.23383
4 6.92712
5 8.93348
6 10.9212
7 11.9306
8 12.5338
9 13.4025
10 13.5835
11 13.6992
12 13.493
13 12.7082
14 9.32621
15 9.15256
16 9.31431
17 8.38154
18 8.267
19 7.61852
20 7.14305
21 7.01786
22 6.58934
G++ SSE:
2 1.65933
3 1.96071
4 7.09683
5 9.66308
6 11.1498
7 11.9315
8 12.5712
9 13.4241
10 13.4907
11 13.6524
12 13.4215
13 12.6472
14 9.62755
15 9.24289
16 9.64412
17 8.88006
18 8.66819
19 8.28623
20 7.74581
21 7.6395
22 7.33506
GDC scalar:
2 0.808422
3 1.20835
4 2.66921
5 2.81166
6 2.99551
7 3.26423
8 3.61477
9 3.90741
10 4.04009
11 4.20405
12 4.21491
13 4.30896
14 3.79835
15 3.80497
16 3.94784
17 3.98417
18 3.58506
19 3.33992
20 3.42309
21 3.21923
22 3.25673
DMD SSE:
2 0.497946
3 0.773551
4 3.79912
5 3.78027
6 3.85155
7 4.06491
8 4.30895
9 4.53038
10 4.61006
11 4.82098
12 4.7455
13 4.85332
14 3.37768
15 3.44962
16 3.54049
17 3.40236
18 3.47339
19 3.40212
20 3.15997
21 3.32644
22 3.22767
DMD scalar:
2 0.478998
3 0.772341
4 1.6106
5 1.68516
6 1.7083
7 1.70625
8 1.68684
9 1.66931
10 1.66125
11 1.63756
12 1.61885
13 1.60459
14 1.402
15 1.39665
16 1.37894
17 1.36306
18 1.27189
19 1.21033
20 1.25719
21 1.21315
22 1.21606
SIMD gives between 2 and 3.5 speedup for GDC compiled code and
between 2.5 and 3 for DMD. Code compiled with GDC is just a
little bit slower than G++ (and just for some values of n), which
is really nice.
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