diff --git a/simucore/perfmodels/.starpu/sampling/codelets/45/dgemm.sirocco b/simucore/perfmodels/.starpu/sampling/codelets/45/dgemm.sirocco
index dc72ba034db7b4b8697aa0b852bca31fb2faf68a..71459a7ff9fdac8958813af76131ba2ed214e450 100644
--- a/simucore/perfmodels/.starpu/sampling/codelets/45/dgemm.sirocco
+++ b/simucore/perfmodels/.starpu/sampling/codelets/45/dgemm.sirocco
@@ -37,10 +37,10 @@ nan nan nan
0
# hash size flops mean (us) dev (us) sum sum2 n
744ff412 22118400 0.000000e+00 7.614739e+04 1.570335e+04 4.926736e+07 3.911128e+12 647
-e6b94418 153600 0.000000e+00 5.080183e+01 9.743801e+00 2.861616e+06 1.507233e+08 56329
-c4a08f5f 4646400 0.000000e+00 8.137654e+03 1.863872e+03 1.657640e+07 1.419696e+11 2037
-8cfc3ba0 49766400 0.000000e+00 2.267816e+05 3.915016e+04 1.598810e+08 3.733864e+13 705
-a7cdf15b 88473600 0.000000e+00 4.662963e+05 5.310256e+04 3.273400e+08 1.546170e+14 702
+b63efa5a 153600 0.000000e+00 5.080183e+01 9.743801e+00 2.861616e+06 1.507233e+08 56329
+9427311d 4646400 0.000000e+00 8.137654e+03 1.863872e+03 1.657640e+07 1.419696e+11 2037
+dc7b85e2 49766400 0.000000e+00 2.267816e+05 3.915016e+04 1.598810e+08 3.733864e+13 705
+f74a4f19 88473600 0.000000e+00 4.662963e+05 5.310256e+04 3.273400e+08 1.546170e+14 702
####################
# COMB_1
@@ -73,10 +73,10 @@ nan nan nan
0
# hash size flops mean (us) dev (us) sum sum2 n
744ff412 22118400 0.000000e+00 1.715310e+03 9.993558e+01 9.566285e+06 1.646484e+10 5577
-e6b94418 153600 0.000000e+00 5.113274e+01 1.134809e+01 1.518642e+04 8.147708e+05 297
-c4a08f5f 4646400 0.000000e+00 2.017727e+02 2.861061e+01 1.652922e+06 3.402201e+08 8192
-8cfc3ba0 49766400 0.000000e+00 6.191028e+03 2.666186e+02 2.317302e+07 1.437309e+11 3743
-a7cdf15b 88473600 0.000000e+00 1.292684e+04 4.908603e+02 4.657542e+07 6.029413e+11 3603
+b63efa5a 153600 0.000000e+00 5.113274e+01 1.134809e+01 1.518642e+04 8.147708e+05 297
+9427311d 4646400 0.000000e+00 2.017727e+02 2.861061e+01 1.652922e+06 3.402201e+08 8192
+dc7b85e2 49766400 0.000000e+00 6.191028e+03 2.666186e+02 2.317302e+07 1.437309e+11 3743
+f74a4f19 88473600 0.000000e+00 1.292684e+04 4.908603e+02 4.657542e+07 6.029413e+11 3603
####################
# COMB_2
@@ -109,10 +109,10 @@ nan nan nan
0
# hash size flops mean (us) dev (us) sum sum2 n
744ff412 22118400 0.000000e+00 1.694044e+03 9.446026e+01 9.451069e+06 1.606030e+10 5579
-e6b94418 153600 0.000000e+00 6.271543e+01 1.282513e+01 1.994351e+04 1.303072e+06 318
-c4a08f5f 4646400 0.000000e+00 2.001219e+02 2.795923e+01 1.640199e+06 3.346467e+08 8196
-8cfc3ba0 49766400 0.000000e+00 6.117615e+03 2.941760e+02 2.339376e+07 1.434449e+11 3824
-a7cdf15b 88473600 0.000000e+00 1.279991e+04 4.666369e+02 4.609249e+07 5.907639e+11 3601
+b63efa5a 153600 0.000000e+00 6.271543e+01 1.282513e+01 1.994351e+04 1.303072e+06 318
+9427311d 4646400 0.000000e+00 2.001219e+02 2.795923e+01 1.640199e+06 3.346467e+08 8196
+dc7b85e2 49766400 0.000000e+00 6.117615e+03 2.941760e+02 2.339376e+07 1.434449e+11 3824
+f74a4f19 88473600 0.000000e+00 1.279991e+04 4.666369e+02 4.609249e+07 5.907639e+11 3601
####################
# COMB_0
@@ -145,10 +145,10 @@ nan nan nan
0
# hash size flops mean (us) dev (us) sum sum2 n
744ff412 22118400 0.000000e+00 1.713334e+03 9.294880e+01 9.365083e+06 1.609274e+10 5466
-e6b94418 153600 0.000000e+00 4.994209e+01 9.498420e+00 1.588158e+04 8.218495e+05 318
-c4a08f5f 4646400 0.000000e+00 2.026661e+02 2.758349e+01 1.561340e+06 3.222922e+08 7704
-8cfc3ba0 49766400 0.000000e+00 6.177427e+03 2.260170e+02 2.327037e+07 1.439434e+11 3767
-a7cdf15b 88473600 0.000000e+00 1.286952e+04 4.739314e+02 4.932886e+07 6.356995e+11 3833
+b63efa5a 153600 0.000000e+00 4.994209e+01 9.498420e+00 1.588158e+04 8.218495e+05 318
+9427311d 4646400 0.000000e+00 2.026661e+02 2.758349e+01 1.561340e+06 3.222922e+08 7704
+dc7b85e2 49766400 0.000000e+00 6.177427e+03 2.260170e+02 2.327037e+07 1.439434e+11 3767
+f74a4f19 88473600 0.000000e+00 1.286952e+04 4.739314e+02 4.932886e+07 6.356995e+11 3833
####################
# COMB_3
@@ -181,8 +181,8 @@ nan nan nan
0
# hash size flops mean (us) dev (us) sum sum2 n
744ff412 22118400 0.000000e+00 1.680328e+03 1.055142e+02 9.028404e+06 1.523050e+10 5373
-e6b94418 153600 0.000000e+00 5.000193e+01 1.025088e+01 7.350283e+03 3.829751e+05 147
-c4a08f5f 4646400 0.000000e+00 1.988673e+02 2.685130e+01 1.504233e+06 3.045963e+08 7564
-8cfc3ba0 49766400 0.000000e+00 6.051978e+03 2.759693e+02 2.305804e+07 1.398369e+11 3810
-a7cdf15b 88473600 0.000000e+00 1.258002e+04 4.620060e+02 4.874757e+07 6.140725e+11 3875
+b63efa5a 153600 0.000000e+00 5.000193e+01 1.025088e+01 7.350283e+03 3.829751e+05 147
+9427311d 4646400 0.000000e+00 1.988673e+02 2.685130e+01 1.504233e+06 3.045963e+08 7564
+dc7b85e2 49766400 0.000000e+00 6.051978e+03 2.759693e+02 2.305804e+07 1.398369e+11 3810
+f74a4f19 88473600 0.000000e+00 1.258002e+04 4.620060e+02 4.874757e+07 6.140725e+11 3875
diff --git a/simucore/perfmodels/.starpu/sampling/codelets/45/dplgsy.mirage b/simucore/perfmodels/.starpu/sampling/codelets/45/dplgsy.mirage
index fcc91046d561c54153f71ad3aadb028dc23c142d..10ad8a46a4300e5202ab320863d703b05b3af93d 100644
--- a/simucore/perfmodels/.starpu/sampling/codelets/45/dplgsy.mirage
+++ b/simucore/perfmodels/.starpu/sampling/codelets/45/dplgsy.mirage
@@ -43,7 +43,7 @@ c1dd9b4c 716800 0.000000e+00 8.750618e+02 5.882979e+02 4.41906
901ddf46 7372800 0.000000e+00 9.115973e+03 3.699894e+03 1.299482e+08 1.379744e+12 14255
471f3021 3379200 0.000000e+00 3.738489e+03 3.995652e+02 1.476703e+06 5.583702e+09 395
be417c6f 3379200 0.000000e+00 2.589893e+03 3.021594e+01 1.023008e+06 2.649841e+09 395
-982013a8 1548800 0.000000e+00 7.591599e+02 8.959083e+00 7.591599e+03 5.764040e+06 10
+69439308 1548800 0.000000e+00 7.591599e+02 8.959083e+00 7.591599e+03 5.764040e+06 10
bec19f89 204800 0.000000e+00 2.385948e+02 3.416508e+01 1.476902e+05 3.596065e+07 619
dd524d7f 204800 0.000000e+00 1.775137e+02 1.049637e+01 1.098810e+05 1.957358e+07 619
-ad30af9b 51200 0.000000e+00 3.296558e+01 1.621243e+00 6.263460e+02 2.069780e+04 19
+5c532f3b 51200 0.000000e+00 3.296558e+01 1.621243e+00 6.263460e+02 2.069780e+04 19
diff --git a/simucore/perfmodels/.starpu/sampling/codelets/45/dplgsy.sirocco b/simucore/perfmodels/.starpu/sampling/codelets/45/dplgsy.sirocco
index 6cd4c538b8b43ca9e529e866ba921fc1a777a8fc..e63e5c40cda42ba61ad702603be4fe23cd8a1fa1 100644
--- a/simucore/perfmodels/.starpu/sampling/codelets/45/dplgsy.sirocco
+++ b/simucore/perfmodels/.starpu/sampling/codelets/45/dplgsy.sirocco
@@ -37,8 +37,8 @@ nan nan nan
0
# hash size flops mean (us) dev (us) sum sum2 n
901ddf46 7372800 0.000000e+00 9.359014e+03 4.860060e+02 2.358472e+06 2.213249e+10 252
-ad30af9b 51200 0.000000e+00 9.876737e+01 1.343538e+01 1.590451e+06 1.599914e+08 16103
-982013a8 1548800 0.000000e+00 2.134161e+03 1.815312e+02 4.673812e+06 1.004683e+10 2190
-25ebb669 16588800 0.000000e+00 2.092160e+04 1.229935e+03 3.661280e+06 7.686456e+10 175
-5104f3b7 29491200 0.000000e+00 3.676615e+04 1.578675e+03 5.110494e+06 1.882396e+11 139
+5c532f3b 51200 0.000000e+00 9.876737e+01 1.343538e+01 1.590451e+06 1.599914e+08 16103
+69439308 1548800 0.000000e+00 2.134161e+03 1.815312e+02 4.673812e+06 1.004683e+10 2190
+d48836c9 16588800 0.000000e+00 2.092160e+04 1.229935e+03 3.661280e+06 7.686456e+10 175
+a0677317 29491200 0.000000e+00 3.676615e+04 1.578675e+03 5.110494e+06 1.882396e+11 139
diff --git a/simucore/perfmodels/.starpu/sampling/codelets/45/dpotrf.mirage b/simucore/perfmodels/.starpu/sampling/codelets/45/dpotrf.mirage
index 45762d5a0bb5b16052cfc13cab6f9e5f969ddbff..8a9717ef1c8eea2a4e5a8dc7160c9d29926968f1 100644
--- a/simucore/perfmodels/.starpu/sampling/codelets/45/dpotrf.mirage
+++ b/simucore/perfmodels/.starpu/sampling/codelets/45/dpotrf.mirage
@@ -39,8 +39,8 @@ nan nan nan
431274fd 627200 0.000000e+00 1.030682e+03 4.474767e+00 1.030682e+04 1.062325e+07 10
3fc0fdcd 819200 0.000000e+00 1.622851e+03 7.237150e+02 1.772153e+06 3.447889e+09 1092
901ddf46 7372800 0.000000e+00 3.362389e+04 1.714866e+03 1.028891e+07 3.468531e+11 306
-982013a8 1548800 0.000000e+00 3.571803e+03 3.350912e+01 3.571803e+04 1.275890e+08 10
-ad30af9b 51200 0.000000e+00 5.419050e+01 1.086799e+01 5.419050e+02 3.054724e+04 10
+69439308 1548800 0.000000e+00 3.571803e+03 3.350912e+01 3.571803e+04 1.275890e+08 10
+5c532f3b 51200 0.000000e+00 5.419050e+01 1.086799e+01 5.419050e+02 3.054724e+04 10
####################
# COMB_0
@@ -72,7 +72,7 @@ nan nan nan
# not multiple-regression-base
0
# hash size flops mean (us) dev (us) sum sum2 n
-ad30af9b 51200 0.000000e+00 1.498917e+03 2.849950e+01 1.199133e+04 1.798051e+07 8
+5c532f3b 51200 0.000000e+00 1.498917e+03 2.849950e+01 1.199133e+04 1.798051e+07 8
3fc0fdcd 819200 0.000000e+00 3.668830e+03 8.172072e+02 3.668830e+04 1.412814e+08 10
901ddf46 7372800 0.000000e+00 1.204932e+04 4.628557e+03 6.024659e+05 8.330481e+09 50
diff --git a/simucore/perfmodels/.starpu/sampling/codelets/45/dpotrf.sirocco b/simucore/perfmodels/.starpu/sampling/codelets/45/dpotrf.sirocco
index 7d72b654f3e03904943cd61e5e51242ea6f5c996..d84aa49cd289ce74ec56b29c64beca314131a16b 100644
--- a/simucore/perfmodels/.starpu/sampling/codelets/45/dpotrf.sirocco
+++ b/simucore/perfmodels/.starpu/sampling/codelets/45/dpotrf.sirocco
@@ -36,11 +36,11 @@ nan nan nan
# not multiple-regression-base
0
# 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
+d48836c9 16588800 0.000000e+00 1.927652e+04 3.502107e+03 9.059964e+05 1.804090e+10 47
901ddf46 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
+5c532f3b 51200 0.000000e+00 2.101636e+03 2.756395e+02 1.303014e+05 2.785568e+08 62
+69439308 1548800 0.000000e+00 4.903930e+03 3.193701e+02 2.550044e+05 1.255828e+09 52
+a0677317 29491200 0.000000e+00 2.463348e+04 2.985247e+03 1.576542e+06 3.940607e+10 64
####################
# COMB_2
@@ -72,11 +72,11 @@ nan nan nan
# not multiple-regression-base
0
# 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
+d48836c9 16588800 0.000000e+00 1.940135e+04 4.068762e+03 6.984485e+05 1.414682e+10 36
901ddf46 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
+5c532f3b 51200 0.000000e+00 2.114340e+03 2.957222e+02 1.268604e+05 2.734732e+08 60
+69439308 1548800 0.000000e+00 5.046035e+03 5.465455e+02 1.766112e+05 9.016412e+08 35
+a0677317 29491200 0.000000e+00 2.329330e+04 2.356823e+03 1.094785e+06 2.576222e+10 47
####################
# COMB_3
@@ -108,11 +108,11 @@ nan nan nan
# not multiple-regression-base
0
# 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
+d48836c9 16588800 0.000000e+00 1.848606e+04 2.220768e+03 5.545817e+05 1.039998e+10 30
901ddf46 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
+5c532f3b 51200 0.000000e+00 2.130842e+03 3.337398e+02 1.576823e+05 3.442383e+08 74
+69439308 1548800 0.000000e+00 5.078755e+03 5.140761e+02 2.437802e+05 1.250785e+09 48
+a0677317 29491200 0.000000e+00 2.451908e+04 3.131104e+03 5.884580e+05 1.466374e+10 24
####################
# COMB_0
@@ -144,11 +144,11 @@ nan nan nan
# not multiple-regression-base
0
# 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
+d48836c9 16588800 0.000000e+00 1.807832e+04 2.125912e+03 7.412111e+05 1.358515e+10 41
+5c532f3b 51200 0.000000e+00 2.127387e+03 2.904710e+02 1.404075e+05 3.042697e+08 66
901ddf46 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
+69439308 1548800 0.000000e+00 4.993474e+03 5.010162e+02 2.546672e+05 1.284476e+09 51
+a0677317 29491200 0.000000e+00 2.412058e+04 2.891586e+03 1.206029e+06 2.950819e+10 50
####################
# COMB_4
@@ -180,9 +180,9 @@ nan nan nan
# not multiple-regression-base
0
# hash size flops mean (us) dev (us) sum sum2 n
-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
+d48836c9 16588800 0.000000e+00 3.521786e+04 3.719259e+03 2.183508e+06 7.775611e+10 62
+69439308 1548800 0.000000e+00 1.965233e+03 3.623952e+02 7.271360e+04 1.477584e+08 37
901ddf46 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
+5c532f3b 51200 0.000000e+00 4.077398e+01 4.776338e+00 2.487213e+03 1.028052e+05 61
+a0677317 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/45/dsyrk.sirocco b/simucore/perfmodels/.starpu/sampling/codelets/45/dsyrk.sirocco
index 188d8943a5668722ec31f71cd448a4b2f3ff8c37..66a3a6695d396095bd3248adadafa9c1f5ed52be 100644
--- a/simucore/perfmodels/.starpu/sampling/codelets/45/dsyrk.sirocco
+++ b/simucore/perfmodels/.starpu/sampling/codelets/45/dsyrk.sirocco
@@ -37,10 +37,10 @@ nan nan nan
0
# hash size flops mean (us) dev (us) sum sum2 n
a1187f60 14745600 0.000000e+00 3.671926e+04 6.264954e+03 4.868973e+07 1.839896e+12 1326
-5831f4e0 102400 0.000000e+00 3.685897e+01 6.246340e+00 2.291522e+05 8.688881e+06 6217
-6a2f38af 3097600 0.000000e+00 3.808134e+03 7.661841e+02 8.320772e+06 3.296929e+10 2185
-0e8bce2b 33177600 0.000000e+00 1.197936e+05 2.202875e+04 9.260042e+07 1.146804e+13 773
-f001bd15 58982400 0.000000e+00 2.500810e+05 3.400228e+04 1.668040e+08 4.248568e+13 667
+6ab5620 102400 0.000000e+00 3.685897e+01 6.246340e+00 2.291522e+05 8.688881e+06 6217
+34b59a6f 3097600 0.000000e+00 3.808134e+03 7.661841e+02 8.320772e+06 3.296929e+10 2185
+50116ceb 33177600 0.000000e+00 1.197936e+05 2.202875e+04 9.260042e+07 1.146804e+13 773
+ae9b1fd5 58982400 0.000000e+00 2.500810e+05 3.400228e+04 1.668040e+08 4.248568e+13 667
####################
# COMB_2
@@ -73,10 +73,10 @@ nan nan nan
0
# hash size flops mean (us) dev (us) sum sum2 n
a1187f60 14745600 0.000000e+00 1.225366e+03 1.055960e+02 2.940879e+05 3.630415e+08 240
-5831f4e0 102400 0.000000e+00 6.983900e+01 1.260925e+01 8.380680e+02 6.043775e+04 12
-6a2f38af 3097600 0.000000e+00 2.036579e+02 2.324388e+01 5.885713e+04 1.214286e+07 289
-0e8bce2b 33177600 0.000000e+00 3.666675e+03 2.800845e+02 7.150015e+05 2.636975e+09 195
-f001bd15 58982400 0.000000e+00 7.329175e+03 4.915258e+02 1.693039e+06 1.246439e+10 231
+6ab5620 102400 0.000000e+00 6.983900e+01 1.260925e+01 8.380680e+02 6.043775e+04 12
+34b59a6f 3097600 0.000000e+00 2.036579e+02 2.324388e+01 5.885713e+04 1.214286e+07 289
+50116ceb 33177600 0.000000e+00 3.666675e+03 2.800845e+02 7.150015e+05 2.636975e+09 195
+ae9b1fd5 58982400 0.000000e+00 7.329175e+03 4.915258e+02 1.693039e+06 1.246439e+10 231
####################
# COMB_1
@@ -109,10 +109,10 @@ nan nan nan
0
# hash size flops mean (us) dev (us) sum sum2 n
a1187f60 14745600 0.000000e+00 1.251704e+03 9.523925e+01 2.928988e+05 3.687452e+08 234
-5831f4e0 102400 0.000000e+00 7.712755e+01 1.662959e+01 8.484030e+02 6.847722e+04 11
-6a2f38af 3097600 0.000000e+00 2.078053e+02 2.202377e+01 5.402939e+04 1.135371e+07 260
-0e8bce2b 33177600 0.000000e+00 3.720059e+03 2.853133e+02 8.295732e+05 3.104214e+09 223
-f001bd15 58982400 0.000000e+00 7.383529e+03 3.772204e+02 1.580075e+06 1.169698e+10 214
+6ab5620 102400 0.000000e+00 7.712755e+01 1.662959e+01 8.484030e+02 6.847722e+04 11
+34b59a6f 3097600 0.000000e+00 2.078053e+02 2.202377e+01 5.402939e+04 1.135371e+07 260
+50116ceb 33177600 0.000000e+00 3.720059e+03 2.853133e+02 8.295732e+05 3.104214e+09 223
+ae9b1fd5 58982400 0.000000e+00 7.383529e+03 3.772204e+02 1.580075e+06 1.169698e+10 214
####################
# COMB_0
@@ -145,10 +145,10 @@ nan nan nan
0
# hash size flops mean (us) dev (us) sum sum2 n
a1187f60 14745600 0.000000e+00 1.252296e+03 1.169465e+02 2.955417e+05 3.733333e+08 236
-5831f4e0 102400 0.000000e+00 7.692512e+01 1.259036e+01 1.230802e+03 9.721587e+04 16
-6a2f38af 3097600 0.000000e+00 2.079242e+02 2.471557e+01 6.029802e+04 1.271457e+07 290
-0e8bce2b 33177600 0.000000e+00 3.744678e+03 3.676926e+02 7.938716e+05 3.001455e+09 212
-f001bd15 58982400 0.000000e+00 7.454402e+03 4.686588e+02 1.669786e+06 1.249646e+10 224
+6ab5620 102400 0.000000e+00 7.692512e+01 1.259036e+01 1.230802e+03 9.721587e+04 16
+34b59a6f 3097600 0.000000e+00 2.079242e+02 2.471557e+01 6.029802e+04 1.271457e+07 290
+50116ceb 33177600 0.000000e+00 3.744678e+03 3.676926e+02 7.938716e+05 3.001455e+09 212
+ae9b1fd5 58982400 0.000000e+00 7.454402e+03 4.686588e+02 1.669786e+06 1.249646e+10 224
####################
# COMB_3
@@ -181,8 +181,8 @@ nan nan nan
0
# hash size flops mean (us) dev (us) sum sum2 n
a1187f60 14745600 0.000000e+00 1.227027e+03 1.116503e+02 2.908055e+05 3.597807e+08 237
-5831f4e0 102400 0.000000e+00 7.100592e+01 1.678181e+01 8.520710e+02 6.388163e+04 12
-6a2f38af 3097600 0.000000e+00 2.027211e+02 2.465123e+01 5.331564e+04 1.096802e+07 263
-0e8bce2b 33177600 0.000000e+00 3.582949e+03 2.599939e+02 6.341819e+05 2.284206e+09 177
-f001bd15 58982400 0.000000e+00 7.239223e+03 4.831241e+02 1.360974e+06 9.896276e+09 188
+6ab5620 102400 0.000000e+00 7.100592e+01 1.678181e+01 8.520710e+02 6.388163e+04 12
+34b59a6f 3097600 0.000000e+00 2.027211e+02 2.465123e+01 5.331564e+04 1.096802e+07 263
+50116ceb 33177600 0.000000e+00 3.582949e+03 2.599939e+02 6.341819e+05 2.284206e+09 177
+ae9b1fd5 58982400 0.000000e+00 7.239223e+03 4.831241e+02 1.360974e+06 9.896276e+09 188
diff --git a/simucore/perfmodels/.starpu/sampling/codelets/45/dtrsm.sirocco b/simucore/perfmodels/.starpu/sampling/codelets/45/dtrsm.sirocco
index a7b23eec405195f57e16d40f4c659d6d1a0aff51..7a19b71921b93c897aea1065a2f695ef56eda913 100644
--- a/simucore/perfmodels/.starpu/sampling/codelets/45/dtrsm.sirocco
+++ b/simucore/perfmodels/.starpu/sampling/codelets/45/dtrsm.sirocco
@@ -37,10 +37,10 @@ nan nan nan
0
# hash size flops mean (us) dev (us) sum sum2 n
a1187f60 14745600 0.000000e+00 3.428845e+04 6.014106e+03 4.670087e+07 1.650564e+12 1362
-5831f4e0 102400 0.000000e+00 4.315566e+01 9.048618e+00 2.734774e+05 1.232096e+07 6337
-6a2f38af 3097600 0.000000e+00 3.493952e+03 6.537880e+02 8.623074e+06 3.118353e+10 2468
-0e8bce2b 33177600 0.000000e+00 1.022247e+05 1.393583e+04 9.251336e+07 9.632909e+12 905
-f001bd15 58982400 0.000000e+00 2.235792e+05 2.485110e+04 1.562819e+08 3.537307e+13 699
+6ab5620 102400 0.000000e+00 4.315566e+01 9.048618e+00 2.734774e+05 1.232096e+07 6337
+34b59a6f 3097600 0.000000e+00 3.493952e+03 6.537880e+02 8.623074e+06 3.118353e+10 2468
+50116ceb 33177600 0.000000e+00 1.022247e+05 1.393583e+04 9.251336e+07 9.632909e+12 905
+ae9b1fd5 58982400 0.000000e+00 2.235792e+05 2.485110e+04 1.562819e+08 3.537307e+13 699
####################
# COMB_0
@@ -73,10 +73,10 @@ nan nan nan
0
# hash size flops mean (us) dev (us) sum sum2 n
a1187f60 14745600 0.000000e+00 3.276119e+03 3.115623e+02 8.157537e+05 2.696677e+09 249
-5831f4e0 102400 0.000000e+00 5.400294e+01 1.227261e+01 9.720530e+02 5.520483e+04 18
-6a2f38af 3097600 0.000000e+00 1.059018e+03 1.208041e+02 2.509872e+05 2.692586e+08 237
-0e8bce2b 33177600 0.000000e+00 7.073186e+03 6.003818e+02 1.082197e+06 7.709734e+09 153
-f001bd15 58982400 0.000000e+00 1.275670e+04 1.000532e+03 2.462043e+06 3.160076e+10 193
+6ab5620 102400 0.000000e+00 5.400294e+01 1.227261e+01 9.720530e+02 5.520483e+04 18
+34b59a6f 3097600 0.000000e+00 1.059018e+03 1.208041e+02 2.509872e+05 2.692586e+08 237
+50116ceb 33177600 0.000000e+00 7.073186e+03 6.003818e+02 1.082197e+06 7.709734e+09 153
+ae9b1fd5 58982400 0.000000e+00 1.275670e+04 1.000532e+03 2.462043e+06 3.160076e+10 193
####################
# COMB_1
@@ -109,10 +109,10 @@ nan nan nan
0
# hash size flops mean (us) dev (us) sum sum2 n
a1187f60 14745600 0.000000e+00 3.300871e+03 2.581032e+02 6.568733e+05 2.181511e+09 199
-5831f4e0 102400 0.000000e+00 1.639117e+02 3.695355e+01 1.966940e+03 3.387912e+05 12
-6a2f38af 3097600 0.000000e+00 1.035320e+03 1.634986e+02 2.370884e+05 2.515840e+08 229
-0e8bce2b 33177600 0.000000e+00 7.177520e+03 7.682785e+02 1.342196e+06 9.744017e+09 187
-f001bd15 58982400 0.000000e+00 1.284895e+04 1.132613e+03 2.479846e+06 3.211099e+10 193
+6ab5620 102400 0.000000e+00 1.639117e+02 3.695355e+01 1.966940e+03 3.387912e+05 12
+34b59a6f 3097600 0.000000e+00 1.035320e+03 1.634986e+02 2.370884e+05 2.515840e+08 229
+50116ceb 33177600 0.000000e+00 7.177520e+03 7.682785e+02 1.342196e+06 9.744017e+09 187
+ae9b1fd5 58982400 0.000000e+00 1.284895e+04 1.132613e+03 2.479846e+06 3.211099e+10 193
####################
# COMB_3
@@ -145,10 +145,10 @@ nan nan nan
0
# hash size flops mean (us) dev (us) sum sum2 n
a1187f60 14745600 0.000000e+00 3.224312e+03 2.905618e+02 8.576671e+05 2.787844e+09 266
-5831f4e0 102400 0.000000e+00 1.238758e+02 2.453256e+01 1.238758e+03 1.594706e+05 10
-6a2f38af 3097600 0.000000e+00 1.043152e+03 1.402538e+02 2.597449e+05 2.758515e+08 249
-0e8bce2b 33177600 0.000000e+00 6.893239e+03 4.958485e+02 1.557872e+06 1.079435e+10 226
-f001bd15 58982400 0.000000e+00 1.233960e+04 7.352896e+02 2.924485e+06 3.621511e+10 237
+6ab5620 102400 0.000000e+00 1.238758e+02 2.453256e+01 1.238758e+03 1.594706e+05 10
+34b59a6f 3097600 0.000000e+00 1.043152e+03 1.402538e+02 2.597449e+05 2.758515e+08 249
+50116ceb 33177600 0.000000e+00 6.893239e+03 4.958485e+02 1.557872e+06 1.079435e+10 226
+ae9b1fd5 58982400 0.000000e+00 1.233960e+04 7.352896e+02 2.924485e+06 3.621511e+10 237
####################
# COMB_2
@@ -181,8 +181,8 @@ nan nan nan
0
# hash size flops mean (us) dev (us) sum sum2 n
a1187f60 14745600 0.000000e+00 3.226919e+03 2.819444e+02 8.357719e+05 2.717557e+09 259
-5831f4e0 102400 0.000000e+00 7.576700e+01 1.461196e+01 1.288039e+03 1.012205e+05 17
-6a2f38af 3097600 0.000000e+00 1.050995e+03 1.429382e+02 2.385759e+05 2.553801e+08 227
-0e8bce2b 33177600 0.000000e+00 7.077068e+03 7.343420e+02 1.288026e+06 9.213596e+09 182
-f001bd15 58982400 0.000000e+00 1.259917e+04 1.081288e+03 2.797016e+06 3.549963e+10 222
+6ab5620 102400 0.000000e+00 7.576700e+01 1.461196e+01 1.288039e+03 1.012205e+05 17
+34b59a6f 3097600 0.000000e+00 1.050995e+03 1.429382e+02 2.385759e+05 2.553801e+08 227
+50116ceb 33177600 0.000000e+00 7.077068e+03 7.343420e+02 1.288026e+06 9.213596e+09 182
+ae9b1fd5 58982400 0.000000e+00 1.259917e+04 1.081288e+03 2.797016e+06 3.549963e+10 222
diff --git a/simucore/perfmodels/.starpu/sampling/codelets/45/sgemm.sirocco b/simucore/perfmodels/.starpu/sampling/codelets/45/sgemm.sirocco
index 915e0e03b72febc8dec7086f0bc8dc18a32186ee..b093180c891e0e63b83da2d89c33ca20cbfb96e5 100644
--- a/simucore/perfmodels/.starpu/sampling/codelets/45/sgemm.sirocco
+++ b/simucore/perfmodels/.starpu/sampling/codelets/45/sgemm.sirocco
@@ -28,7 +28,7 @@
#####
# Model for cpu0_impl0 (Comb0)
# number of entries
-7
+6
# 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
@@ -36,13 +36,12 @@ nan nan nan
# not multiple-regression-base
0
# hash size flops mean (us) dev (us) sum sum2 n
-a7cdf15b 44236800 0.000000e+00 2.633445e+05 5.249424e+04 6.322902e+08 1.731265e+14 2401
-8cfc3ba0 24883200 0.000000e+00 1.120333e+05 2.070542e+04 2.092782e+08 2.424696e+13 1868
+f74a4f19 44236800 0.000000e+00 2.633445e+05 5.249424e+04 6.322902e+08 1.731265e+14 2401
+dc7b85e2 24883200 0.000000e+00 1.120333e+05 2.070542e+04 2.092782e+08 2.424696e+13 1868
744ff412 11059200 0.000000e+00 3.623402e+04 6.546678e+03 1.580528e+08 5.913839e+12 4362
-c4a08f5f 2323200 0.000000e+00 3.732336e+03 6.841164e+02 3.950678e+07 1.524065e+11 10585
-e6b94418 76800 0.000000e+00 3.040738e+01 3.904133e+00 2.440131e+06 7.542116e+07 80248
-a4820f8f 512000 0.000000e+00 2.424582e+02 4.362487e+01 1.672962e+04 4.187550e+06 69
-6a7210dc 1228800 0.000000e+00 1.962744e+03 4.745716e+02 4.710585e+04 9.786197e+07 24
+9427311d 2323200 0.000000e+00 3.732336e+03 6.841164e+02 3.950678e+07 1.524065e+11 10585
+b63efa5a 76800 0.000000e+00 3.040738e+01 3.904133e+00 2.440131e+06 7.542116e+07 80248
+84e38ff9 1228800 0.000000e+00 1.962744e+03 4.745716e+02 4.710585e+04 9.786197e+07 24
####################
# COMB_3
@@ -74,11 +73,11 @@ nan nan nan
# not multiple-regression-base
0
# hash size flops mean (us) dev (us) sum sum2 n
-a7cdf15b 44236800 0.000000e+00 6.265723e+03 4.806927e+02 8.577149e+07 5.405835e+11 13689
-8cfc3ba0 24883200 0.000000e+00 2.982067e+03 1.577603e+02 2.606923e+07 7.795776e+10 8742
+f74a4f19 44236800 0.000000e+00 6.265723e+03 4.806927e+02 8.577149e+07 5.405835e+11 13689
+dc7b85e2 24883200 0.000000e+00 2.982067e+03 1.577603e+02 2.606923e+07 7.795776e+10 8742
744ff412 11059200 0.000000e+00 1.027724e+03 6.416246e+01 1.796770e+07 1.853781e+10 17483
-c4a08f5f 2323200 0.000000e+00 1.681587e+02 2.185477e+01 2.332192e+06 3.988026e+08 13869
-e6b94418 76800 0.000000e+00 4.561876e+01 1.081980e+01 6.934052e+03 3.341172e+05 152
+9427311d 2323200 0.000000e+00 1.681587e+02 2.185477e+01 2.332192e+06 3.988026e+08 13869
+b63efa5a 76800 0.000000e+00 4.561876e+01 1.081980e+01 6.934052e+03 3.341172e+05 152
####################
# COMB_1
@@ -110,11 +109,11 @@ nan nan nan
# not multiple-regression-base
0
# hash size flops mean (us) dev (us) sum sum2 n
-a7cdf15b 44236800 0.000000e+00 6.411657e+03 4.740807e+02 8.565973e+07 5.522235e+11 13360
-8cfc3ba0 24883200 0.000000e+00 2.990259e+03 1.556149e+02 2.622756e+07 7.863960e+10 8771
+f74a4f19 44236800 0.000000e+00 6.411657e+03 4.740807e+02 8.565973e+07 5.522235e+11 13360
+dc7b85e2 24883200 0.000000e+00 2.990259e+03 1.556149e+02 2.622756e+07 7.863960e+10 8771
744ff412 11059200 0.000000e+00 1.026941e+03 6.843339e+01 1.818713e+07 1.876005e+10 17710
-c4a08f5f 2323200 0.000000e+00 1.678676e+02 2.188969e+01 2.444656e+06 4.173565e+08 14563
-e6b94418 76800 0.000000e+00 5.712863e+01 1.016253e+01 2.182314e+04 1.286178e+06 382
+9427311d 2323200 0.000000e+00 1.678676e+02 2.188969e+01 2.444656e+06 4.173565e+08 14563
+b63efa5a 76800 0.000000e+00 5.712863e+01 1.016253e+01 2.182314e+04 1.286178e+06 382
####################
# COMB_2
@@ -146,11 +145,11 @@ nan nan nan
# not multiple-regression-base
0
# hash size flops mean (us) dev (us) sum sum2 n
-a7cdf15b 44236800 0.000000e+00 6.216224e+03 4.119793e+02 8.361443e+07 5.220491e+11 13451
-8cfc3ba0 24883200 0.000000e+00 3.034574e+03 1.617988e+02 2.660715e+07 8.097090e+10 8768
+f74a4f19 44236800 0.000000e+00 6.216224e+03 4.119793e+02 8.361443e+07 5.220491e+11 13451
+dc7b85e2 24883200 0.000000e+00 3.034574e+03 1.617988e+02 2.660715e+07 8.097090e+10 8768
744ff412 11059200 0.000000e+00 1.042160e+03 6.826839e+01 1.799915e+07 1.883849e+10 17271
-c4a08f5f 2323200 0.000000e+00 1.706067e+02 2.205696e+01 2.522932e+06 4.376237e+08 14788
-e6b94418 76800 0.000000e+00 4.872868e+01 7.797709e+00 3.376898e+04 1.687655e+06 693
+9427311d 2323200 0.000000e+00 1.706067e+02 2.205696e+01 2.522932e+06 4.376237e+08 14788
+b63efa5a 76800 0.000000e+00 4.872868e+01 7.797709e+00 3.376898e+04 1.687655e+06 693
####################
# COMB_4
@@ -182,9 +181,9 @@ nan nan nan
# not multiple-regression-base
0
# hash size flops mean (us) dev (us) sum sum2 n
-a7cdf15b 44236800 0.000000e+00 6.193669e+03 4.216424e+02 8.780145e+07 5.463333e+11 14176
-8cfc3ba0 24883200 0.000000e+00 3.030444e+03 1.493135e+02 2.715884e+07 8.250317e+10 8962
+f74a4f19 44236800 0.000000e+00 6.193669e+03 4.216424e+02 8.780145e+07 5.463333e+11 14176
+dc7b85e2 24883200 0.000000e+00 3.030444e+03 1.493135e+02 2.715884e+07 8.250317e+10 8962
744ff412 11059200 0.000000e+00 1.042297e+03 6.563263e+01 1.817663e+07 1.902057e+10 17439
-c4a08f5f 2323200 0.000000e+00 1.710487e+02 2.221991e+01 2.555297e+06 4.444559e+08 14939
-e6b94418 76800 0.000000e+00 5.246265e+01 9.697468e+00 1.453215e+04 7.884446e+05 277
+9427311d 2323200 0.000000e+00 1.710487e+02 2.221991e+01 2.555297e+06 4.444559e+08 14939
+b63efa5a 76800 0.000000e+00 5.246265e+01 9.697468e+00 1.453215e+04 7.884446e+05 277
diff --git a/simucore/perfmodels/.starpu/sampling/codelets/45/splgsy.mirage b/simucore/perfmodels/.starpu/sampling/codelets/45/splgsy.mirage
index 9b9d694900bf88c13e8bfa925f0974109e118a21..e6a3f8fc1e15c8d71cc86aa0b93a25f832de84d4 100644
--- a/simucore/perfmodels/.starpu/sampling/codelets/45/splgsy.mirage
+++ b/simucore/perfmodels/.starpu/sampling/codelets/45/splgsy.mirage
@@ -40,10 +40,10 @@ nan nan nan
e7960a21 153600 0.000000e+00 2.459287e+02 1.335026e+01 2.678163e+05 6.605781e+07 1089
412400ed 153600 0.000000e+00 2.806436e+02 3.490577e+02 3.056209e+05 2.184557e+08 1089
3fc0fdcd 409600 0.000000e+00 6.539599e+02 3.807974e+02 9.026543e+07 7.904510e+10 138029
-982013a8 774400 0.000000e+00 6.655441e+02 1.147597e+01 1.264534e+04 8.418531e+06 19
+69439308 774400 0.000000e+00 6.655441e+02 1.147597e+01 1.264534e+04 8.418531e+06 19
be417c6f 1689600 0.000000e+00 2.476178e+03 1.299370e+01 1.780372e+06 4.408638e+09 719
471f3021 1689600 0.000000e+00 2.879747e+03 1.833475e+02 2.070538e+06 5.986794e+09 719
901ddf46 3686400 0.000000e+00 5.696811e+03 7.164692e+02 1.476556e+08 8.544712e+11 25919
bec19f89 102400 0.000000e+00 1.893129e+02 2.113629e+02 1.171847e+05 4.983796e+07 619
dd524d7f 102400 0.000000e+00 1.687059e+02 1.677324e+00 1.044290e+05 1.761953e+07 619
-ad30af9b 25600 0.000000e+00 2.908353e+01 3.783301e-01 5.525870e+02 1.607390e+04 19
+5c532f3b 25600 0.000000e+00 2.908353e+01 3.783301e-01 5.525870e+02 1.607390e+04 19
diff --git a/simucore/perfmodels/.starpu/sampling/codelets/45/splgsy.sirocco b/simucore/perfmodels/.starpu/sampling/codelets/45/splgsy.sirocco
index 119d9c3f062e4375a7634d4355d00362311ae596..c4530465ccc3e2a790829d43f79222c8e9336d37 100644
--- a/simucore/perfmodels/.starpu/sampling/codelets/45/splgsy.sirocco
+++ b/simucore/perfmodels/.starpu/sampling/codelets/45/splgsy.sirocco
@@ -36,12 +36,12 @@ nan nan nan
# not multiple-regression-base
0
# hash size flops mean (us) dev (us) sum sum2 n
-5104f3b7 14745600 0.000000e+00 3.545004e+04 1.130964e+03 1.871762e+07 6.642158e+11 528
-25ebb669 8294400 0.000000e+00 1.998968e+04 3.810275e+02 4.657595e+06 9.313763e+10 233
+a0677317 14745600 0.000000e+00 3.545004e+04 1.130964e+03 1.871762e+07 6.642158e+11 528
+d48836c9 8294400 0.000000e+00 1.998968e+04 3.810275e+02 4.657595e+06 9.313763e+10 233
901ddf46 3686400 0.000000e+00 8.939938e+03 2.153220e+02 1.231923e+07 1.101971e+11 1378
-982013a8 774400 0.000000e+00 2.302314e+03 5.466484e+02 1.138264e+07 2.768379e+10 4944
-ad30af9b 25600 0.000000e+00 8.731844e+01 8.227614e+00 1.389149e+06 1.223753e+08 15909
-2384211a 6400 0.000000e+00 3.342405e+01 1.257385e+01 6.684810e+02 2.550538e+04 20
+69439308 774400 0.000000e+00 2.302314e+03 5.466484e+02 1.138264e+07 2.768379e+10 4944
+5c532f3b 25600 0.000000e+00 8.731844e+01 8.227614e+00 1.389149e+06 1.223753e+08 15909
+3442589a 6400 0.000000e+00 3.342405e+01 1.257385e+01 6.684810e+02 2.550538e+04 20
30b2a96f 51200 0.000000e+00 1.475864e+02 1.554810e+01 1.136415e+04 1.695808e+06 77
-2806844d 409600 0.000000e+00 8.902086e+02 1.436824e+02 1.370921e+05 1.252199e+08 154
+3fc0fdcd 409600 0.000000e+00 8.902086e+02 1.436824e+02 1.370921e+05 1.252199e+08 154
diff --git a/simucore/perfmodels/.starpu/sampling/codelets/45/spotrf.mirage b/simucore/perfmodels/.starpu/sampling/codelets/45/spotrf.mirage
index 7e0912a74d90b35a8fab1ba0fc65bc49003d4c60..2f81ec7f8ed8b77625562b5c86e086ba7efb8134 100644
--- a/simucore/perfmodels/.starpu/sampling/codelets/45/spotrf.mirage
+++ b/simucore/perfmodels/.starpu/sampling/codelets/45/spotrf.mirage
@@ -38,9 +38,9 @@ nan nan nan
# hash size flops mean (us) dev (us) sum sum2 n
681177a1 57600 0.000000e+00 4.555334e+02 1.090643e+02 4.099801e+03 1.974652e+06 9
3fc0fdcd 409600 0.000000e+00 1.132958e+03 3.711145e+02 1.898838e+06 2.382134e+09 1676
-982013a8 774400 0.000000e+00 2.357248e+03 4.801633e+00 2.357248e+04 5.556642e+07 10
+69439308 774400 0.000000e+00 2.357248e+03 4.801633e+00 2.357248e+04 5.556642e+07 10
901ddf46 3686400 0.000000e+00 2.085156e+04 6.096702e+02 1.194795e+07 2.493463e+11 573
-ad30af9b 25600 0.000000e+00 1.312747e+02 3.133704e+00 1.312747e+03 1.724287e+05 10
+5c532f3b 25600 0.000000e+00 1.312747e+02 3.133704e+00 1.312747e+03 1.724287e+05 10
####################
# COMB_0
@@ -72,10 +72,10 @@ nan nan nan
# not multiple-regression-base
0
# hash size flops mean (us) dev (us) sum sum2 n
-ad30af9b 25600 0.000000e+00 1.585751e+03 4.642049e+01 1.268601e+04 2.013409e+07 8
+5c532f3b 25600 0.000000e+00 1.585751e+03 4.642049e+01 1.268601e+04 2.013409e+07 8
3fc0fdcd 409600 0.000000e+00 3.513309e+03 1.463148e+02 3.513309e+04 1.236475e+08 10
901ddf46 3686400 0.000000e+00 7.780375e+03 3.551701e+03 8.169394e+05 7.680626e+09 105
-982013a8 774400 0.000000e+00 2.812901e+03 7.800857e+00 2.250321e+04 6.329979e+07 8
+69439308 774400 0.000000e+00 2.812901e+03 7.800857e+00 2.250321e+04 6.329979e+07 8
####################
# COMB_1
diff --git a/simucore/perfmodels/.starpu/sampling/codelets/45/spotrf.sirocco b/simucore/perfmodels/.starpu/sampling/codelets/45/spotrf.sirocco
index b26474001cb54b31df2e018ba5a1f57b508291cc..d0b792059e70b4fd554ef3d3cda822f17510b3f8 100644
--- a/simucore/perfmodels/.starpu/sampling/codelets/45/spotrf.sirocco
+++ b/simucore/perfmodels/.starpu/sampling/codelets/45/spotrf.sirocco
@@ -36,10 +36,10 @@ nan nan nan
# not multiple-regression-base
0
# 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
+a0677317 14745600 0.000000e+00 1.725922e+04 2.264939e+03 1.052812e+06 1.848364e+10 61
+d48836c9 8294400 0.000000e+00 1.618055e+04 2.196987e+03 7.766664e+05 1.279857e+10 48
+69439308 774400 0.000000e+00 3.928085e+03 4.967651e+02 1.414111e+05 5.643587e+08 36
+5c532f3b 25600 0.000000e+00 2.070017e+03 2.556262e+02 1.283410e+05 2.697195e+08 62
901ddf46 3686400 0.000000e+00 9.570246e+03 1.453408e+03 5.263635e+05 5.153611e+09 55
####################
@@ -72,10 +72,10 @@ nan nan nan
# not multiple-regression-base
0
# 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
+a0677317 14745600 0.000000e+00 1.689494e+04 1.439976e+03 1.081276e+06 1.840081e+10 64
+d48836c9 8294400 0.000000e+00 1.549399e+04 1.742327e+03 8.211813e+05 1.288426e+10 53
+69439308 774400 0.000000e+00 3.925510e+03 5.372277e+02 1.334673e+05 5.337401e+08 34
+5c532f3b 25600 0.000000e+00 2.102179e+03 3.123586e+02 1.303351e+05 2.800370e+08 62
901ddf46 3686400 0.000000e+00 9.539420e+03 1.257811e+03 4.292739e+05 4.166218e+09 45
####################
@@ -108,10 +108,10 @@ nan nan nan
# not multiple-regression-base
0
# 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
+a0677317 14745600 0.000000e+00 1.679050e+04 1.864821e+03 5.037149e+05 8.561949e+09 30
+d48836c9 8294400 0.000000e+00 1.650986e+04 2.615948e+03 4.457661e+05 7.544300e+09 27
+69439308 774400 0.000000e+00 4.072426e+03 6.492225e+02 1.384625e+05 5.782087e+08 34
+5c532f3b 25600 0.000000e+00 2.106632e+03 2.976700e+02 1.390377e+05 2.987493e+08 66
901ddf46 3686400 0.000000e+00 9.596093e+03 1.252122e+03 2.686906e+05 2.622279e+09 28
####################
@@ -144,10 +144,10 @@ nan nan nan
# not multiple-regression-base
0
# 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
+a0677317 14745600 0.000000e+00 1.640619e+04 1.490045e+03 6.398413e+05 1.058394e+10 39
+d48836c9 8294400 0.000000e+00 1.538862e+04 2.385658e+03 6.155449e+05 9.700043e+09 40
+69439308 774400 0.000000e+00 4.069845e+03 5.836273e+02 1.627938e+05 6.761704e+08 40
+5c532f3b 25600 0.000000e+00 2.134159e+03 2.682985e+02 1.323178e+05 2.868503e+08 62
901ddf46 3686400 0.000000e+00 9.181625e+03 8.594056e+02 3.580834e+05 3.316592e+09 39
####################
@@ -180,11 +180,11 @@ nan nan nan
# not multiple-regression-base
0
# hash size flops mean (us) dev (us) sum sum2 n
-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
+a0677317 14745600 0.000000e+00 4.292375e+04 3.070461e+03 2.704196e+06 1.166682e+11 63
+d48836c9 8294400 0.000000e+00 1.889580e+04 1.888554e+03 1.473872e+06 2.812818e+10 78
+69439308 774400 0.000000e+00 1.554382e+03 1.710542e+02 5.595775e+04 8.803307e+07 36
+5c532f3b 25600 0.000000e+00 7.450665e+01 4.146608e+00 4.097866e+03 3.062640e+05 55
901ddf46 3686400 0.000000e+00 6.920145e+03 2.464678e+02 2.214446e+05 1.534373e+09 32
-2806844d 409600 0.000000e+00 1.036386e+03 1.971561e+02 6.011040e+04 6.455208e+07 58
-2384211a 6400 0.000000e+00 1.971042e+01 5.545559e+00 3.744980e+02 7.965824e+03 19
+3fc0fdcd 409600 0.000000e+00 1.036386e+03 1.971561e+02 6.011040e+04 6.455208e+07 58
+3442589a 6400 0.000000e+00 1.971042e+01 5.545559e+00 3.744980e+02 7.965824e+03 19
diff --git a/simucore/perfmodels/.starpu/sampling/codelets/45/ssyrk.sirocco b/simucore/perfmodels/.starpu/sampling/codelets/45/ssyrk.sirocco
index 21d35c7990f866c142eb5d9f445969880568b07c..1eaf9507c1c58c38871e877df6499a3450537dfb 100644
--- a/simucore/perfmodels/.starpu/sampling/codelets/45/ssyrk.sirocco
+++ b/simucore/perfmodels/.starpu/sampling/codelets/45/ssyrk.sirocco
@@ -36,11 +36,11 @@ nan nan nan
# not multiple-regression-base
0
# hash size flops mean (us) dev (us) sum sum2 n
-f001bd15 29491200 0.000000e+00 3.885487e+03 3.138453e+02 1.266669e+06 4.953736e+09 326
-0e8bce2b 16588800 0.000000e+00 1.989457e+03 1.846987e+02 4.018704e+05 8.063950e+08 202
+ae9b1fd5 29491200 0.000000e+00 3.885487e+03 3.138453e+02 1.266669e+06 4.953736e+09 326
+50116ceb 16588800 0.000000e+00 1.989457e+03 1.846987e+02 4.018704e+05 8.063950e+08 202
a1187f60 7372800 0.000000e+00 6.844636e+02 6.633616e+01 2.457224e+05 1.697678e+08 359
-6a2f38af 1548800 0.000000e+00 1.274568e+02 1.956594e+01 3.097201e+04 4.040621e+06 243
-5831f4e0 51200 0.000000e+00 6.011745e+01 1.013925e+01 1.322584e+03 8.177208e+04 22
+34b59a6f 1548800 0.000000e+00 1.274568e+02 1.956594e+01 3.097201e+04 4.040621e+06 243
+6ab5620 51200 0.000000e+00 6.011745e+01 1.013925e+01 1.322584e+03 8.177208e+04 22
####################
# COMB_0
@@ -72,13 +72,13 @@ nan nan nan
# not multiple-regression-base
0
# hash size flops mean (us) dev (us) sum sum2 n
-f001bd15 29491200 0.000000e+00 1.358370e+05 2.496094e+04 3.762684e+08 5.283701e+13 2770
-0e8bce2b 16588800 0.000000e+00 5.960685e+04 1.152639e+04 8.929106e+07 5.521380e+12 1498
+ae9b1fd5 29491200 0.000000e+00 1.358370e+05 2.496094e+04 3.762684e+08 5.283701e+13 2770
+50116ceb 16588800 0.000000e+00 5.960685e+04 1.152639e+04 8.929106e+07 5.521380e+12 1498
a1187f60 7372800 0.000000e+00 1.879259e+04 3.534541e+03 7.201320e+07 1.401187e+12 3832
-6a2f38af 1548800 0.000000e+00 2.022561e+03 3.698244e+02 8.274299e+06 1.729480e+10 4091
-5831f4e0 51200 0.000000e+00 2.572545e+01 4.086938e+00 1.642570e+05 4.332233e+06 6385
+34b59a6f 1548800 0.000000e+00 2.022561e+03 3.698244e+02 8.274299e+06 1.729480e+10 4091
+6ab5620 51200 0.000000e+00 2.572545e+01 4.086938e+00 1.642570e+05 4.332233e+06 6385
e78115ba 57600 0.000000e+00 4.722764e+01 8.558222e+00 1.558512e+03 7.602186e+04 33
-3a47829c 819200 0.000000e+00 1.400813e+03 3.187817e+02 8.264794e+04 1.217700e+08 59
+72838077 819200 0.000000e+00 1.400813e+03 3.187817e+02 8.264794e+04 1.217700e+08 59
####################
# COMB_2
@@ -110,11 +110,11 @@ nan nan nan
# not multiple-regression-base
0
# hash size flops mean (us) dev (us) sum sum2 n
-f001bd15 29491200 0.000000e+00 3.928459e+03 3.071670e+02 1.312105e+06 5.186065e+09 334
-0e8bce2b 16588800 0.000000e+00 1.978866e+03 1.664848e+02 5.065897e+05 1.009569e+09 256
+ae9b1fd5 29491200 0.000000e+00 3.928459e+03 3.071670e+02 1.312105e+06 5.186065e+09 334
+50116ceb 16588800 0.000000e+00 1.978866e+03 1.664848e+02 5.065897e+05 1.009569e+09 256
a1187f60 7372800 0.000000e+00 6.835967e+02 5.317005e+01 1.893563e+05 1.302264e+08 277
-6a2f38af 1548800 0.000000e+00 1.295589e+02 1.835748e+01 3.588782e+04 4.742936e+06 277
-5831f4e0 51200 0.000000e+00 6.087710e+01 1.044897e+01 6.087710e+02 3.815202e+04 10
+34b59a6f 1548800 0.000000e+00 1.295589e+02 1.835748e+01 3.588782e+04 4.742936e+06 277
+6ab5620 51200 0.000000e+00 6.087710e+01 1.044897e+01 6.087710e+02 3.815202e+04 10
####################
# COMB_3
@@ -146,11 +146,11 @@ nan nan nan
# not multiple-regression-base
0
# hash size flops mean (us) dev (us) sum sum2 n
-f001bd15 29491200 0.000000e+00 3.795352e+03 3.099710e+02 1.335964e+06 5.104273e+09 352
-0e8bce2b 16588800 0.000000e+00 1.949808e+03 1.585039e+02 4.952512e+05 9.720259e+08 254
+ae9b1fd5 29491200 0.000000e+00 3.795352e+03 3.099710e+02 1.335964e+06 5.104273e+09 352
+50116ceb 16588800 0.000000e+00 1.949808e+03 1.585039e+02 4.952512e+05 9.720259e+08 254
a1187f60 7372800 0.000000e+00 6.738891e+02 5.051417e+01 2.459695e+05 1.666876e+08 365
-6a2f38af 1548800 0.000000e+00 1.249379e+02 2.159779e+01 3.198410e+04 4.115441e+06 256
-5831f4e0 51200 0.000000e+00 5.816600e+01 9.053481e+00 1.105154e+03 6.583973e+04 19
+34b59a6f 1548800 0.000000e+00 1.249379e+02 2.159779e+01 3.198410e+04 4.115441e+06 256
+6ab5620 51200 0.000000e+00 5.816600e+01 9.053481e+00 1.105154e+03 6.583973e+04 19
####################
# COMB_4
@@ -182,9 +182,9 @@ nan nan nan
# not multiple-regression-base
0
# hash size flops mean (us) dev (us) sum sum2 n
-f001bd15 29491200 0.000000e+00 3.938373e+03 2.754392e+02 1.606856e+06 6.359353e+09 408
-0e8bce2b 16588800 0.000000e+00 1.981274e+03 1.832435e+02 4.913559e+05 9.818378e+08 248
+ae9b1fd5 29491200 0.000000e+00 3.938373e+03 2.754392e+02 1.606856e+06 6.359353e+09 408
+50116ceb 16588800 0.000000e+00 1.981274e+03 1.832435e+02 4.913559e+05 9.818378e+08 248
a1187f60 7372800 0.000000e+00 6.796234e+02 6.194853e+01 2.113629e+05 1.448407e+08 311
-6a2f38af 1548800 0.000000e+00 1.301442e+02 2.060864e+01 2.915229e+04 3.889137e+06 224
-5831f4e0 51200 0.000000e+00 6.400964e+01 1.458943e+01 8.961350e+02 6.034120e+04 14
+34b59a6f 1548800 0.000000e+00 1.301442e+02 2.060864e+01 2.915229e+04 3.889137e+06 224
+6ab5620 51200 0.000000e+00 6.400964e+01 1.458943e+01 8.961350e+02 6.034120e+04 14
diff --git a/simucore/perfmodels/.starpu/sampling/codelets/45/strsm.sirocco b/simucore/perfmodels/.starpu/sampling/codelets/45/strsm.sirocco
index db742225a513bf92179bae62a6becc64edf6ee67..1a5783eb39d324db8c1dd064b4394eeaf71a51dd 100644
--- a/simucore/perfmodels/.starpu/sampling/codelets/45/strsm.sirocco
+++ b/simucore/perfmodels/.starpu/sampling/codelets/45/strsm.sirocco
@@ -36,13 +36,13 @@ nan nan nan
# not multiple-regression-base
0
# hash size flops mean (us) dev (us) sum sum2 n
-f001bd15 29491200 0.000000e+00 1.262354e+05 2.290170e+04 3.312416e+08 4.319067e+13 2624
-0e8bce2b 16588800 0.000000e+00 5.337615e+04 8.326371e+03 7.563401e+07 4.135291e+12 1417
+ae9b1fd5 29491200 0.000000e+00 1.262354e+05 2.290170e+04 3.312416e+08 4.319067e+13 2624
+50116ceb 16588800 0.000000e+00 5.337615e+04 8.326371e+03 7.563401e+07 4.135291e+12 1417
a1187f60 7372800 0.000000e+00 1.770446e+04 3.146495e+03 6.559501e+07 1.198005e+12 3705
-6a2f38af 1548800 0.000000e+00 1.942615e+03 3.132030e+02 9.050645e+06 1.803895e+10 4659
-5831f4e0 51200 0.000000e+00 3.124193e+01 7.098676e+00 1.885451e+05 6.194624e+06 6035
+34b59a6f 1548800 0.000000e+00 1.942615e+03 3.132030e+02 9.050645e+06 1.803895e+10 4659
+6ab5620 51200 0.000000e+00 3.124193e+01 7.098676e+00 1.885451e+05 6.194624e+06 6035
22f3afbe 460800 0.000000e+00 1.461281e+02 1.995835e+01 5.114484e+03 7.613117e+05 35
-3a47829c 819200 0.000000e+00 2.006172e+03 3.121162e+02 1.263888e+05 2.596950e+08 63
+72838077 819200 0.000000e+00 2.006172e+03 3.121162e+02 1.263888e+05 2.596950e+08 63
####################
# COMB_4
@@ -74,11 +74,11 @@ nan nan nan
# not multiple-regression-base
0
# hash size flops mean (us) dev (us) sum sum2 n
-f001bd15 29491200 0.000000e+00 1.305248e+04 1.334385e+03 5.207939e+06 6.868697e+10 399
-0e8bce2b 16588800 0.000000e+00 6.227569e+03 8.472811e+02 1.955457e+06 1.240316e+10 314
+ae9b1fd5 29491200 0.000000e+00 1.305248e+04 1.334385e+03 5.207939e+06 6.868697e+10 399
+50116ceb 16588800 0.000000e+00 6.227569e+03 8.472811e+02 1.955457e+06 1.240316e+10 314
a1187f60 7372800 0.000000e+00 2.363204e+03 3.410126e+02 1.072895e+06 2.588265e+09 454
-6a2f38af 1548800 0.000000e+00 9.588087e+02 1.079624e+02 1.716268e+05 1.666436e+08 179
-5831f4e0 51200 0.000000e+00 1.189339e+02 2.173609e+01 2.497612e+03 3.069724e+05 21
+34b59a6f 1548800 0.000000e+00 9.588087e+02 1.079624e+02 1.716268e+05 1.666436e+08 179
+6ab5620 51200 0.000000e+00 1.189339e+02 2.173609e+01 2.497612e+03 3.069724e+05 21
####################
# COMB_2
@@ -110,11 +110,11 @@ nan nan nan
# not multiple-regression-base
0
# hash size flops mean (us) dev (us) sum sum2 n
-f001bd15 29491200 0.000000e+00 1.285236e+04 1.196289e+03 4.961010e+06 6.431309e+10 386
-0e8bce2b 16588800 0.000000e+00 5.951177e+03 5.675201e+02 1.690134e+06 1.014976e+10 284
+ae9b1fd5 29491200 0.000000e+00 1.285236e+04 1.196289e+03 4.961010e+06 6.431309e+10 386
+50116ceb 16588800 0.000000e+00 5.951177e+03 5.675201e+02 1.690134e+06 1.014976e+10 284
a1187f60 7372800 0.000000e+00 2.336819e+03 2.871770e+02 9.136963e+05 2.167389e+09 391
-6a2f38af 1548800 0.000000e+00 9.794784e+02 1.067792e+02 1.557371e+05 1.543540e+08 159
-5831f4e0 51200 0.000000e+00 6.696491e+01 1.309227e+01 2.209842e+03 1.536383e+05 33
+34b59a6f 1548800 0.000000e+00 9.794784e+02 1.067792e+02 1.557371e+05 1.543540e+08 159
+6ab5620 51200 0.000000e+00 6.696491e+01 1.309227e+01 2.209842e+03 1.536383e+05 33
####################
# COMB_3
@@ -146,11 +146,11 @@ nan nan nan
# not multiple-regression-base
0
# hash size flops mean (us) dev (us) sum sum2 n
-f001bd15 29491200 0.000000e+00 1.284788e+04 1.232936e+03 6.231224e+06 8.079530e+10 485
-0e8bce2b 16588800 0.000000e+00 5.870740e+03 6.354548e+02 1.943215e+06 1.154177e+10 331
+ae9b1fd5 29491200 0.000000e+00 1.284788e+04 1.232936e+03 6.231224e+06 8.079530e+10 485
+50116ceb 16588800 0.000000e+00 5.870740e+03 6.354548e+02 1.943215e+06 1.154177e+10 331
a1187f60 7372800 0.000000e+00 2.366672e+03 3.276943e+02 8.401685e+05 2.026524e+09 355
-6a2f38af 1548800 0.000000e+00 9.462385e+02 1.249538e+02 1.750541e+05 1.685314e+08 185
-5831f4e0 51200 0.000000e+00 1.527756e+02 3.246283e+01 2.597185e+03 4.147017e+05 17
+34b59a6f 1548800 0.000000e+00 9.462385e+02 1.249538e+02 1.750541e+05 1.685314e+08 185
+6ab5620 51200 0.000000e+00 1.527756e+02 3.246283e+01 2.597185e+03 4.147017e+05 17
####################
# COMB_1
@@ -182,9 +182,9 @@ nan nan nan
# not multiple-regression-base
0
# hash size flops mean (us) dev (us) sum sum2 n
-f001bd15 29491200 0.000000e+00 1.272736e+04 1.188134e+03 5.409128e+06 6.944388e+10 425
-0e8bce2b 16588800 0.000000e+00 5.985624e+03 7.297118e+02 1.675975e+06 1.018085e+10 280
+ae9b1fd5 29491200 0.000000e+00 1.272736e+04 1.188134e+03 5.409128e+06 6.944388e+10 425
+50116ceb 16588800 0.000000e+00 5.985624e+03 7.297118e+02 1.675975e+06 1.018085e+10 280
a1187f60 7372800 0.000000e+00 2.310110e+03 2.968759e+02 1.016448e+06 2.386886e+09 440
-6a2f38af 1548800 0.000000e+00 9.767572e+02 1.265878e+02 1.670255e+05 1.658835e+08 171
-5831f4e0 51200 0.000000e+00 1.183823e+02 2.064199e+01 1.775735e+03 2.166070e+05 15
+34b59a6f 1548800 0.000000e+00 9.767572e+02 1.265878e+02 1.670255e+05 1.658835e+08 171
+6ab5620 51200 0.000000e+00 1.183823e+02 2.064199e+01 1.775735e+03 2.166070e+05 15
diff --git a/testing/CTestLists.cmake b/testing/CTestLists.cmake
index 9e95012c96a6b1d19dd1e7406f93112092b351a1..598da53926c6e9ef8d5e2d08aef6c97c30c25703 100644
--- a/testing/CTestLists.cmake
+++ b/testing/CTestLists.cmake
@@ -11,68 +11,109 @@ endif()
if (CHAMELEON_USE_CUDA AND CUDA_FOUND)
set(N_GPUS 0 1)
endif()
+if (CHAMELEON_SIMULATION)
+ set(TEST_CATEGORIES simushm)
+ if (CHAMELEON_USE_CUDA)
+ set( TEST_CATEGORIES ${TEST_CATEGORIES} simugpu )
+ endif()
+endif()
-foreach(prec ${RP_CHAMELEON_PRECISIONS})
- set (CMD ./chameleon_${prec}testing)
+if (NOT CHAMELEON_SIMULATION)
- #
- # Create the list of test based on precision and runtime
- #
- set( TESTS lacpy lange lantr lansy )
- if ( ${prec} STREQUAL c OR ${prec} STREQUAL z )
- set( TESTS ${TESTS} lanhe )
- endif()
- set( TESTS ${TESTS}
- geadd tradd lascal
- gemm symm syrk syr2k trmm trsm )
- if ( ${prec} STREQUAL c OR ${prec} STREQUAL z )
+ foreach(prec ${RP_CHAMELEON_PRECISIONS})
+ set (CMD ./chameleon_${prec}testing)
+
+ #
+ # Create the list of test based on precision and runtime
+ #
+ set( TESTS lacpy lange lantr lansy )
+ if ( ${prec} STREQUAL c OR ${prec} STREQUAL z )
+ set( TESTS ${TESTS} lanhe )
+ endif()
set( TESTS ${TESTS}
- hemm herk her2k )
- endif()
- set( TESTS ${TESTS}
- potrf potrs posv trtri lauum )
- if ( NOT CHAMELEON_SCHED_PARSEC )
- set( TESTS ${TESTS} potri )
- endif()
- if ( ${prec} STREQUAL c OR ${prec} STREQUAL z )
+ geadd tradd lascal
+ gemm symm syrk syr2k trmm trsm )
+ if ( ${prec} STREQUAL c OR ${prec} STREQUAL z )
+ set( TESTS ${TESTS}
+ hemm herk her2k )
+ endif()
set( TESTS ${TESTS}
- sytrf sytrs sysv )
- endif()
- set( TESTS ${TESTS}
- getrf getrs gesv
- geqrf gelqf
- geqrf_hqr gelqf_hqr)
- if ( ${prec} STREQUAL c OR ${prec} STREQUAL z )
+ potrf potrs posv trtri lauum )
+ if ( NOT CHAMELEON_SCHED_PARSEC )
+ set( TESTS ${TESTS} potri )
+ endif()
+ if ( ${prec} STREQUAL c OR ${prec} STREQUAL z )
+ set( TESTS ${TESTS}
+ sytrf sytrs sysv )
+ endif()
set( TESTS ${TESTS}
- ungqr unglq unmqr unmlq
- ungqr_hqr unglq_hqr unmqr_hqr unmlq_hqr)
- else()
+ getrf getrs gesv
+ geqrf gelqf
+ geqrf_hqr gelqf_hqr)
+ if ( ${prec} STREQUAL c OR ${prec} STREQUAL z )
+ set( TESTS ${TESTS}
+ ungqr unglq unmqr unmlq
+ ungqr_hqr unglq_hqr unmqr_hqr unmlq_hqr)
+ else()
+ set( TESTS ${TESTS}
+ orgqr orglq ormqr ormlq
+ orgqr_hqr orglq_hqr ormqr_hqr ormlq_hqr)
+ endif()
set( TESTS ${TESTS}
- orgqr orglq ormqr ormlq
- orgqr_hqr orglq_hqr ormqr_hqr ormlq_hqr)
- endif()
- set( TESTS ${TESTS}
- #geqrs gelqs
- #geqrs_hqr gelqs_hqr
- gels
- gels_hqr )
+ #geqrs gelqs
+ #geqrs_hqr gelqs_hqr
+ gels
+ gels_hqr )
- foreach(cat ${TEST_CATEGORIES})
- foreach(gpus ${N_GPUS})
+ foreach(cat ${TEST_CATEGORIES})
+ foreach(gpus ${N_GPUS})
- if (${gpus} EQUAL 1)
- set(cat ${cat}_gpu)
- endif()
+ if (${gpus} EQUAL 1)
+ set(cat ${cat}_gpu)
+ endif()
- if (${cat} STREQUAL "mpi")
- set (PREFIX mpiexec --bind-to none -n ${NP})
- else()
- set (PREFIX "")
- endif()
+ if (${cat} STREQUAL "mpi")
+ set (PREFIX mpiexec --bind-to none -n ${NP})
+ else()
+ set (PREFIX "")
+ endif()
- foreach(_test ${TESTS})
- add_test(test_${cat}_${prec}${_test} ${PREFIX} ${CMD} -c -t ${THREADS} -g ${gpus} -P 1 -f input/${_test}.in )
+ foreach(test ${TESTS})
+ add_test(test_${cat}_${prec}${test} ${PREFIX} ${CMD} -c -t ${THREADS} -g ${gpus} -P 1 -f input/${test}.in )
+ endforeach()
endforeach()
endforeach()
endforeach()
-endforeach()
+
+else (NOT CHAMELEON_SIMULATION)
+
+ # constraints for which we have perfmodels in simucore/perfmodels/
+ set( TESTS "potrf")
+ set(RP_CHAMELEON_PRECISIONS_SIMU "s;d")
+ set(TEST_CMD_simushm -t ${THREADS} -g 0)
+ set(TEST_CMD_simugpu -t ${THREADS} -g 1)
+ set(PLATFORMS "mirage;sirocco")
+ set(BSIZE_mirage "320;960")
+ set(BSIZE_sirocco "80;440;960;1440;1920")
+
+ # loop over constraints
+ foreach(cat ${TEST_CATEGORIES})
+ foreach(prec ${RP_CHAMELEON_PRECISIONS_SIMU})
+ string(TOUPPER ${prec} PREC)
+ foreach(test ${TESTS})
+ if (CHAMELEON_PREC_${PREC})
+ foreach(plat ${PLATFORMS})
+ foreach(bsize ${BSIZE_${plat}})
+ math(EXPR size "10 * ${bsize}")
+ add_test(test_${cat}_${prec}${test}_${plat}_${bsize} ./chameleon_${prec}testing -o ${test} ${TEST_CMD_${cat}} -n ${size} -b ${bsize})
+ set_tests_properties(test_${cat}_${prec}${test}_${plat}_${bsize} PROPERTIES
+ ENVIRONMENT "STARPU_HOME=${CMAKE_SOURCE_DIR}/simucore/perfmodels;STARPU_HOSTNAME=${plat}"
+ )
+ endforeach()
+ endforeach()
+ endif()
+ endforeach()
+ endforeach()
+ endforeach()
+
+endif (NOT CHAMELEON_SIMULATION)