From 929cffd7419c335221c005857f5f988c7dc30ef1 Mon Sep 17 00:00:00 2001 From: Samuel Thibault <samuel.thibault@ens-lyon.org> Date: Mon, 13 Mar 2017 19:01:26 +0100 Subject: [PATCH] Recalibrate potrf with magma support enabled --- .../sampling/codelets/44/dpotrf.sirocco | 146 +++++++++++++++++- .../sampling/codelets/44/spotrf.sirocco | 146 +++++++++++++++++- 2 files changed, 282 insertions(+), 10 deletions(-) diff --git a/simucore/perfmodels/.starpu/sampling/codelets/44/dpotrf.sirocco b/simucore/perfmodels/.starpu/sampling/codelets/44/dpotrf.sirocco index b37ae7cf5..c51248b76 100644 --- a/simucore/perfmodels/.starpu/sampling/codelets/44/dpotrf.sirocco +++ b/simucore/perfmodels/.starpu/sampling/codelets/44/dpotrf.sirocco @@ -5,7 +5,143 @@ #################### # COMBs # number of combinations +5 +#################### +# COMB_1 +# number of types devices +1 +#################### +# DEV_0 +# device type (CPU - 0, CUDA - 1, OPENCL - 2, MIC - 3, SCC - 4) +1 +#################### +# DEV_0 +# device id +0 +#################### +# DEV_0 +# number of cores +1 +########## +# number of implementations +1 +##### +# Model for cuda0_impl0 (Comb1) +# number of entries +5 +# sumlnx sumlnx2 sumlny sumlnxlny alpha beta n minx maxx +0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 nan nan 0 0 0 +# a b c +nan nan nan +# hash size flops mean (us) dev (us) sum sum2 n +25ebb669 16588800 0.000000e+00 1.927652e+04 3.502107e+03 9.059964e+05 1.804090e+10 47 +617e5fe6 7372800 0.000000e+00 1.229853e+04 1.768810e+03 6.149267e+05 7.719131e+09 50 +ad30af9b 51200 0.000000e+00 2.101636e+03 2.756395e+02 1.303014e+05 2.785568e+08 62 +982013a8 1548800 0.000000e+00 4.903930e+03 3.193701e+02 2.550044e+05 1.255828e+09 52 +5104f3b7 29491200 0.000000e+00 2.463348e+04 2.985247e+03 1.576542e+06 3.940607e+10 64 + +#################### +# COMB_2 +# number of types devices +1 +#################### +# DEV_0 +# device type (CPU - 0, CUDA - 1, OPENCL - 2, MIC - 3, SCC - 4) +1 +#################### +# DEV_0 +# device id +2 +#################### +# DEV_0 +# number of cores +1 +########## +# number of implementations +1 +##### +# Model for cuda2_impl0 (Comb2) +# number of entries +5 +# sumlnx sumlnx2 sumlny sumlnxlny alpha beta n minx maxx +0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 nan nan 0 0 0 +# a b c +nan nan nan +# hash size flops mean (us) dev (us) sum sum2 n +25ebb669 16588800 0.000000e+00 1.940135e+04 4.068762e+03 6.984485e+05 1.414682e+10 36 +617e5fe6 7372800 0.000000e+00 1.194505e+04 1.978674e+03 3.822416e+05 4.691180e+09 32 +ad30af9b 51200 0.000000e+00 2.114340e+03 2.957222e+02 1.268604e+05 2.734732e+08 60 +982013a8 1548800 0.000000e+00 5.046035e+03 5.465455e+02 1.766112e+05 9.016412e+08 35 +5104f3b7 29491200 0.000000e+00 2.329330e+04 2.356823e+03 1.094785e+06 2.576222e+10 47 + +#################### +# COMB_3 +# number of types devices +1 +#################### +# DEV_0 +# device type (CPU - 0, CUDA - 1, OPENCL - 2, MIC - 3, SCC - 4) +1 +#################### +# DEV_0 +# device id +3 +#################### +# DEV_0 +# number of cores 1 +########## +# number of implementations +1 +##### +# Model for cuda3_impl0 (Comb3) +# number of entries +5 +# sumlnx sumlnx2 sumlny sumlnxlny alpha beta n minx maxx +0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 nan nan 0 0 0 +# a b c +nan nan nan +# hash size flops mean (us) dev (us) sum sum2 n +25ebb669 16588800 0.000000e+00 1.848606e+04 2.220768e+03 5.545817e+05 1.039998e+10 30 +617e5fe6 7372800 0.000000e+00 1.174012e+04 1.793250e+03 3.991641e+05 4.795570e+09 34 +ad30af9b 51200 0.000000e+00 2.130842e+03 3.337398e+02 1.576823e+05 3.442383e+08 74 +982013a8 1548800 0.000000e+00 5.078755e+03 5.140761e+02 2.437802e+05 1.250785e+09 48 +5104f3b7 29491200 0.000000e+00 2.451908e+04 3.131104e+03 5.884580e+05 1.466374e+10 24 + +#################### +# COMB_0 +# number of types devices +1 +#################### +# DEV_0 +# device type (CPU - 0, CUDA - 1, OPENCL - 2, MIC - 3, SCC - 4) +1 +#################### +# DEV_0 +# device id +1 +#################### +# DEV_0 +# number of cores +1 +########## +# number of implementations +1 +##### +# Model for cuda1_impl0 (Comb0) +# number of entries +5 +# sumlnx sumlnx2 sumlny sumlnxlny alpha beta n minx maxx +0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 nan nan 0 0 0 +# a b c +nan nan nan +# hash size flops mean (us) dev (us) sum sum2 n +25ebb669 16588800 0.000000e+00 1.807832e+04 2.125912e+03 7.412111e+05 1.358515e+10 41 +ad30af9b 51200 0.000000e+00 2.127387e+03 2.904710e+02 1.404075e+05 3.042697e+08 66 +617e5fe6 7372800 0.000000e+00 1.177248e+04 1.259016e+03 4.002642e+05 4.765995e+09 34 +982013a8 1548800 0.000000e+00 4.993474e+03 5.010162e+02 2.546672e+05 1.284476e+09 51 +5104f3b7 29491200 0.000000e+00 2.412058e+04 2.891586e+03 1.206029e+06 2.950819e+10 50 + #################### # COMB_4 # number of types devices @@ -34,9 +170,9 @@ # a b c nan nan nan # hash size flops mean (us) dev (us) sum sum2 n -617e5fe6 7372800 0.000000e+00 1.199994e+04 1.417119e+03 2.051989e+06 2.496714e+10 171 -ad30af9b 51200 0.000000e+00 4.029498e+01 7.344934e+00 1.938188e+04 8.069416e+05 481 -982013a8 1548800 0.000000e+00 1.778398e+03 2.306933e+02 5.015082e+05 9.068890e+08 282 -25ebb669 16588800 0.000000e+00 3.651073e+04 5.293321e+03 4.308266e+06 1.606042e+11 118 -5104f3b7 29491200 0.000000e+00 8.248482e+04 9.428391e+03 9.403269e+06 7.857610e+11 114 +25ebb669 16588800 0.000000e+00 3.521786e+04 3.719259e+03 2.183508e+06 7.775611e+10 62 +982013a8 1548800 0.000000e+00 1.965233e+03 3.623952e+02 7.271360e+04 1.477584e+08 37 +617e5fe6 7372800 0.000000e+00 1.125962e+04 1.634952e+03 5.855000e+05 6.731505e+09 52 +ad30af9b 51200 0.000000e+00 4.077398e+01 4.776338e+00 2.487213e+03 1.028052e+05 61 +5104f3b7 29491200 0.000000e+00 7.956441e+04 8.548094e+03 5.410380e+06 4.354424e+11 68 diff --git a/simucore/perfmodels/.starpu/sampling/codelets/44/spotrf.sirocco b/simucore/perfmodels/.starpu/sampling/codelets/44/spotrf.sirocco index 04d00423c..d519d86de 100644 --- a/simucore/perfmodels/.starpu/sampling/codelets/44/spotrf.sirocco +++ b/simucore/perfmodels/.starpu/sampling/codelets/44/spotrf.sirocco @@ -5,7 +5,143 @@ #################### # COMBs # number of combinations +5 +#################### +# COMB_0 +# number of types devices +1 +#################### +# DEV_0 +# device type (CPU - 0, CUDA - 1, OPENCL - 2, MIC - 3, SCC - 4) +1 +#################### +# DEV_0 +# device id +0 +#################### +# DEV_0 +# number of cores +1 +########## +# number of implementations +1 +##### +# Model for cuda0_impl0 (Comb0) +# number of entries +5 +# sumlnx sumlnx2 sumlny sumlnxlny alpha beta n minx maxx +0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 nan nan 0 0 0 +# a b c +nan nan nan +# hash size flops mean (us) dev (us) sum sum2 n +5104f3b7 14745600 0.000000e+00 1.725922e+04 2.264939e+03 1.052812e+06 1.848364e+10 61 +25ebb669 8294400 0.000000e+00 1.618055e+04 2.196987e+03 7.766664e+05 1.279857e+10 48 +982013a8 774400 0.000000e+00 3.928085e+03 4.967651e+02 1.414111e+05 5.643587e+08 36 +ad30af9b 25600 0.000000e+00 2.070017e+03 2.556262e+02 1.283410e+05 2.697195e+08 62 +617e5fe6 3686400 0.000000e+00 9.570246e+03 1.453408e+03 5.263635e+05 5.153611e+09 55 + +#################### +# COMB_2 +# number of types devices +1 +#################### +# DEV_0 +# device type (CPU - 0, CUDA - 1, OPENCL - 2, MIC - 3, SCC - 4) +1 +#################### +# DEV_0 +# device id +1 +#################### +# DEV_0 +# number of cores +1 +########## +# number of implementations +1 +##### +# Model for cuda1_impl0 (Comb2) +# number of entries +5 +# sumlnx sumlnx2 sumlny sumlnxlny alpha beta n minx maxx +0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 nan nan 0 0 0 +# a b c +nan nan nan +# hash size flops mean (us) dev (us) sum sum2 n +5104f3b7 14745600 0.000000e+00 1.689494e+04 1.439976e+03 1.081276e+06 1.840081e+10 64 +25ebb669 8294400 0.000000e+00 1.549399e+04 1.742327e+03 8.211813e+05 1.288426e+10 53 +982013a8 774400 0.000000e+00 3.925510e+03 5.372277e+02 1.334673e+05 5.337401e+08 34 +ad30af9b 25600 0.000000e+00 2.102179e+03 3.123586e+02 1.303351e+05 2.800370e+08 62 +617e5fe6 3686400 0.000000e+00 9.539420e+03 1.257811e+03 4.292739e+05 4.166218e+09 45 + +#################### +# COMB_3 +# number of types devices +1 +#################### +# DEV_0 +# device type (CPU - 0, CUDA - 1, OPENCL - 2, MIC - 3, SCC - 4) 1 +#################### +# DEV_0 +# device id +3 +#################### +# DEV_0 +# number of cores +1 +########## +# number of implementations +1 +##### +# Model for cuda3_impl0 (Comb3) +# number of entries +5 +# sumlnx sumlnx2 sumlny sumlnxlny alpha beta n minx maxx +0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 nan nan 0 0 0 +# a b c +nan nan nan +# hash size flops mean (us) dev (us) sum sum2 n +5104f3b7 14745600 0.000000e+00 1.679050e+04 1.864821e+03 5.037149e+05 8.561949e+09 30 +25ebb669 8294400 0.000000e+00 1.650986e+04 2.615948e+03 4.457661e+05 7.544300e+09 27 +982013a8 774400 0.000000e+00 4.072426e+03 6.492225e+02 1.384625e+05 5.782087e+08 34 +ad30af9b 25600 0.000000e+00 2.106632e+03 2.976700e+02 1.390377e+05 2.987493e+08 66 +617e5fe6 3686400 0.000000e+00 9.596093e+03 1.252122e+03 2.686906e+05 2.622279e+09 28 + +#################### +# COMB_1 +# number of types devices +1 +#################### +# DEV_0 +# device type (CPU - 0, CUDA - 1, OPENCL - 2, MIC - 3, SCC - 4) +1 +#################### +# DEV_0 +# device id +2 +#################### +# DEV_0 +# number of cores +1 +########## +# number of implementations +1 +##### +# Model for cuda2_impl0 (Comb1) +# number of entries +5 +# sumlnx sumlnx2 sumlny sumlnxlny alpha beta n minx maxx +0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 nan nan 0 0 0 +# a b c +nan nan nan +# hash size flops mean (us) dev (us) sum sum2 n +5104f3b7 14745600 0.000000e+00 1.640619e+04 1.490045e+03 6.398413e+05 1.058394e+10 39 +25ebb669 8294400 0.000000e+00 1.538862e+04 2.385658e+03 6.155449e+05 9.700043e+09 40 +982013a8 774400 0.000000e+00 4.069845e+03 5.836273e+02 1.627938e+05 6.761704e+08 40 +ad30af9b 25600 0.000000e+00 2.134159e+03 2.682985e+02 1.323178e+05 2.868503e+08 62 +617e5fe6 3686400 0.000000e+00 9.181625e+03 8.594056e+02 3.580834e+05 3.316592e+09 39 + #################### # COMB_4 # number of types devices @@ -34,9 +170,9 @@ # a b c nan nan nan # hash size flops mean (us) dev (us) sum sum2 n -5104f3b7 14745600 0.000000e+00 4.483079e+04 5.635100e+03 1.026625e+07 4.675159e+11 229 -25ebb669 8294400 0.000000e+00 1.993450e+04 2.800795e+03 3.109782e+06 6.321569e+10 156 -617e5fe6 3686400 0.000000e+00 7.511506e+03 7.944975e+02 2.291009e+06 1.740145e+10 305 -982013a8 774400 0.000000e+00 1.048226e+03 1.196694e+02 2.452850e+05 2.604652e+08 234 -ad30af9b 25600 0.000000e+00 7.425993e+01 7.891218e+00 2.784747e+04 2.091303e+06 375 +5104f3b7 14745600 0.000000e+00 4.292375e+04 3.070461e+03 2.704196e+06 1.166682e+11 63 +25ebb669 8294400 0.000000e+00 1.889580e+04 1.888554e+03 1.473872e+06 2.812818e+10 78 +982013a8 774400 0.000000e+00 1.554382e+03 1.710542e+02 5.595775e+04 8.803307e+07 36 +ad30af9b 25600 0.000000e+00 7.450665e+01 4.146608e+00 4.097866e+03 3.062640e+05 55 +617e5fe6 3686400 0.000000e+00 6.920145e+03 2.464678e+02 2.214446e+05 1.534373e+09 32 -- GitLab