>gemm xdfindCE -f res/atlas_cacheedg
>e.h
>TA TB M N K alpha beta CacheEdge TIME
> MFLOPS
>== == ====== ====== ====== ====== ====== ========= =========
> ========
>
> T N 1600 1600 1600 1.00 1.00 0 1.228
> 6671.69
> T N 1600 1600 1600 1.00 1.00 16 -2.000
> 0.00
> T N 1600 1600 1600 1.00 1.00 32 -2.000
> 0.00
> T N 1600 1600 1600 1.00 1.00 64 1.514
> 5409.95
> T N 1600 1600 1600 1.00 1.00 128 1.279
> 6405.71
> T N 1600 1600 1600 1.00 1.00 256 1.248
> 6565.56
> T N 1600 1600 1600 1.00 1.00 512 1.239
> 6610.67
> T N 1600 1600 1600 1.00 1.00 1024 1.227
> 6673.78
> T N 1600 1600 1600 1.00 1.00 2048 1.227
> 6673.98
> T N 1600 1600 1600 1.00 1.00 4096 1.227
> 6674.22
> T N 1600 1600 1600 1.00 1.00 8192 1.228
> 6672.71
>
>Initial CE=4096KB, mflop=6674.22
>
> T N 1600 1600 1600 1.00 1.00 3072 1.227
> 6674.70
> T N 1600 1600 1600 1.00 1.00 2560 1.227
> 6676.11
> T N 1600 1600 1600 1.00 1.00 2304 1.227
> 6674.23
> T N 1600 1600 1600 1.00 1.00 2816 1.227
> 6675.75
>
>Best CE=2560KB, mflop=6676.11
>====================================================================
If you look at this output, you see that the performance of CE=2M is absolutely
indistinguishable from CE=0 (no L2 blocking). In such a case, ATLAS uses
CE, since its partitioning of K reduces workspace needs of large problems.
So, what you are seeing is that this system doesn't get any benefit from
L2 cache blocking, but that we can afford multiple write of C for large
matrices . . .
Cheers,
Clint
**************************************************************************
** R. Clint Whaley, PhD ** Assist Prof, UTSA ** www.cs.utsa.edu/~whaley **
**************************************************************************
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