starpu_dlu_lu_model_22.sirocco 5.6 KB

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  1. ##################
  2. # Performance Model Version
  3. 45
  4. ####################
  5. # COMBs
  6. # number of combinations
  7. 5
  8. ####################
  9. # COMB_0
  10. # number of types devices
  11. 1
  12. ####################
  13. # DEV_0
  14. # device type (CPU - 0, CUDA - 1, OPENCL - 2, MIC - 3)
  15. 1
  16. ####################
  17. # DEV_0
  18. # device id
  19. 2
  20. ####################
  21. # DEV_0
  22. # number of cores
  23. 1
  24. ##########
  25. # number of implementations
  26. 1
  27. #####
  28. # Model for cuda2_impl0 (Comb0)
  29. # number of entries
  30. 4
  31. # sumlnx sumlnx2 sumlny sumlnxlny alpha beta n minx maxx
  32. 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 nan nan 0 0 0
  33. # a b c
  34. nan nan nan
  35. # not multiple-regression-base
  36. 0
  37. # hash size flops mean (us) dev (us) sum sum2 n
  38. 24c84a50 22118400 0.000000e+00 1.754881e+03 1.567907e+02 8.516439e+06 1.506464e+10 4853
  39. d46431bb 2457600 0.000000e+00 9.227862e+01 1.339393e+01 6.585925e+05 6.205436e+07 7137
  40. f0ac7beb 9830400 0.000000e+00 5.560171e+02 4.481480e+01 2.452035e+06 1.372230e+09 4410
  41. 8cfc3ba0 49766400 0.000000e+00 5.688840e+03 4.278238e+02 1.962081e+07 1.122509e+11 3449
  42. ####################
  43. # COMB_3
  44. # number of types devices
  45. 1
  46. ####################
  47. # DEV_0
  48. # device type (CPU - 0, CUDA - 1, OPENCL - 2, MIC - 3)
  49. 1
  50. ####################
  51. # DEV_0
  52. # device id
  53. 3
  54. ####################
  55. # DEV_0
  56. # number of cores
  57. 1
  58. ##########
  59. # number of implementations
  60. 1
  61. #####
  62. # Model for cuda3_impl0 (Comb3)
  63. # number of entries
  64. 4
  65. # sumlnx sumlnx2 sumlny sumlnxlny alpha beta n minx maxx
  66. 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 nan nan 0 0 0
  67. # a b c
  68. nan nan nan
  69. # not multiple-regression-base
  70. 0
  71. # hash size flops mean (us) dev (us) sum sum2 n
  72. 24c84a50 22118400 0.000000e+00 1.725012e+03 1.556789e+02 8.775134e+06 1.526049e+10 5087
  73. d46431bb 2457600 0.000000e+00 9.099306e+01 1.290433e+01 7.117477e+05 6.606663e+07 7822
  74. f0ac7beb 9830400 0.000000e+00 5.497124e+02 4.364744e+01 2.308242e+06 1.276869e+09 4199
  75. 8cfc3ba0 49766400 0.000000e+00 5.591076e+03 4.188165e+02 1.997692e+07 1.123192e+11 3573
  76. ####################
  77. # COMB_2
  78. # number of types devices
  79. 1
  80. ####################
  81. # DEV_0
  82. # device type (CPU - 0, CUDA - 1, OPENCL - 2, MIC - 3)
  83. 1
  84. ####################
  85. # DEV_0
  86. # device id
  87. 0
  88. ####################
  89. # DEV_0
  90. # number of cores
  91. 1
  92. ##########
  93. # number of implementations
  94. 1
  95. #####
  96. # Model for cuda0_impl0 (Comb2)
  97. # number of entries
  98. 4
  99. # sumlnx sumlnx2 sumlny sumlnxlny alpha beta n minx maxx
  100. 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 nan nan 0 0 0
  101. # a b c
  102. nan nan nan
  103. # not multiple-regression-base
  104. 0
  105. # hash size flops mean (us) dev (us) sum sum2 n
  106. 24c84a50 22118400 0.000000e+00 1.724207e+03 1.559700e+02 8.529651e+06 1.482723e+10 4947
  107. d46431bb 2457600 0.000000e+00 9.395983e+01 1.410875e+01 5.884704e+05 5.653928e+07 6263
  108. f0ac7beb 9830400 0.000000e+00 5.531811e+02 3.935565e+01 3.264875e+06 1.815209e+09 5902
  109. 8cfc3ba0 49766400 0.000000e+00 5.682607e+03 4.627422e+02 2.006529e+07 1.147792e+11 3531
  110. ####################
  111. # COMB_4
  112. # number of types devices
  113. 1
  114. ####################
  115. # DEV_0
  116. # device type (CPU - 0, CUDA - 1, OPENCL - 2, MIC - 3)
  117. 0
  118. ####################
  119. # DEV_0
  120. # device id
  121. 0
  122. ####################
  123. # DEV_0
  124. # number of cores
  125. 1
  126. ##########
  127. # number of implementations
  128. 1
  129. #####
  130. # Model for cpu0_impl0 (Comb4)
  131. # number of entries
  132. 4
  133. # sumlnx sumlnx2 sumlny sumlnxlny alpha beta n minx maxx
  134. 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 nan nan 0 0 0
  135. # a b c
  136. nan nan nan
  137. # not multiple-regression-base
  138. 0
  139. # hash size flops mean (us) dev (us) sum sum2 n
  140. 24c84a50 22118400 0.000000e+00 6.659236e+04 1.142300e+04 1.507651e+08 1.033522e+13 2264
  141. d46431bb 2457600 0.000000e+00 3.623237e+03 8.721045e+02 1.668138e+07 6.394225e+10 4604
  142. f0ac7beb 9830400 0.000000e+00 2.355764e+04 4.984182e+03 4.405279e+07 1.084235e+12 1870
  143. 8cfc3ba0 49766400 0.000000e+00 2.164742e+05 3.673582e+04 3.325044e+08 7.405148e+13 1536
  144. ####################
  145. # COMB_1
  146. # number of types devices
  147. 1
  148. ####################
  149. # DEV_0
  150. # device type (CPU - 0, CUDA - 1, OPENCL - 2, MIC - 3)
  151. 1
  152. ####################
  153. # DEV_0
  154. # device id
  155. 1
  156. ####################
  157. # DEV_0
  158. # number of cores
  159. 1
  160. ##########
  161. # number of implementations
  162. 1
  163. #####
  164. # Model for cuda1_impl0 (Comb1)
  165. # number of entries
  166. 4
  167. # sumlnx sumlnx2 sumlny sumlnxlny alpha beta n minx maxx
  168. 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 nan nan 0 0 0
  169. # a b c
  170. nan nan nan
  171. # not multiple-regression-base
  172. 0
  173. # hash size flops mean (us) dev (us) sum sum2 n
  174. 24c84a50 22118400 0.000000e+00 1.746747e+03 1.539679e+02 8.628932e+06 1.518967e+10 4940
  175. d46431bb 2457600 0.000000e+00 9.539483e+01 1.447066e+01 7.032507e+05 6.863017e+07 7372
  176. f0ac7beb 9830400 0.000000e+00 5.601014e+02 3.783630e+01 3.218342e+06 1.810824e+09 5746
  177. 8cfc3ba0 49766400 0.000000e+00 5.710157e+03 4.302245e+02 2.027106e+07 1.164080e+11 3550