chol_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_2
  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. 1
  20. ####################
  21. # DEV_0
  22. # number of cores
  23. 1
  24. ##########
  25. # number of implementations
  26. 1
  27. #####
  28. # Model for cuda1_impl0 (Comb2)
  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. 8cfc3ba0 24883200 5.971968e+09 2.632193e+03 3.963412e+02 2.414774e+07 6.500262e+10 9174
  39. 24c84a50 11059200 1.769472e+09 7.545142e+02 4.622075e+01 1.174100e+07 8.891991e+09 15561
  40. f0ac7beb 4915200 5.242880e+08 2.651541e+02 2.896639e+01 2.197862e+06 5.897272e+08 8289
  41. d46431bb 1228800 6.553600e+07 5.633559e+01 1.027680e+01 7.345034e+05 4.275566e+07 13038
  42. ####################
  43. # COMB_1
  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. 0
  54. ####################
  55. # DEV_0
  56. # number of cores
  57. 1
  58. ##########
  59. # number of implementations
  60. 1
  61. #####
  62. # Model for cuda0_impl0 (Comb1)
  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. 8cfc3ba0 24883200 5.971968e+09 2.577659e+03 3.627579e+02 2.443621e+07 6.423574e+10 9480
  73. 24c84a50 11059200 1.769472e+09 7.434516e+02 4.620554e+01 1.184541e+07 8.840509e+09 15933
  74. f0ac7beb 4915200 5.242880e+08 2.633265e+02 2.997768e+01 2.185610e+06 5.829880e+08 8300
  75. d46431bb 1228800 6.553600e+07 5.716015e+01 1.157773e+01 6.223597e+05 3.703364e+07 10888
  76. ####################
  77. # COMB_3
  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. 3
  88. ####################
  89. # DEV_0
  90. # number of cores
  91. 1
  92. ##########
  93. # number of implementations
  94. 1
  95. #####
  96. # Model for cuda3_impl0 (Comb3)
  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. 8cfc3ba0 24883200 5.971968e+09 2.575702e+03 3.709810e+02 2.479886e+07 6.519954e+10 9628
  107. 24c84a50 11059200 1.769472e+09 7.437036e+02 4.816754e+01 1.192752e+07 8.907749e+09 16038
  108. f0ac7beb 4915200 5.242880e+08 2.593699e+02 2.791728e+01 2.302427e+06 6.040986e+08 8877
  109. d46431bb 1228800 6.553600e+07 5.656092e+01 1.160148e+01 5.523739e+05 3.255722e+07 9766
  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. 1
  118. ####################
  119. # DEV_0
  120. # device id
  121. 2
  122. ####################
  123. # DEV_0
  124. # number of cores
  125. 1
  126. ##########
  127. # number of implementations
  128. 1
  129. #####
  130. # Model for cuda2_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. 8cfc3ba0 24883200 5.971968e+09 2.620269e+03 3.685780e+02 2.431872e+07 6.498239e+10 9281
  141. 24c84a50 11059200 1.769472e+09 7.558763e+02 4.610795e+01 1.204791e+07 9.140616e+09 15939
  142. f0ac7beb 4915200 5.242880e+08 2.625144e+02 2.860172e+01 2.207221e+06 5.863054e+08 8408
  143. d46431bb 1228800 6.553600e+07 5.829194e+01 1.220705e+01 7.805874e+05 4.749737e+07 13391
  144. ####################
  145. # COMB_0
  146. # number of types devices
  147. 1
  148. ####################
  149. # DEV_0
  150. # device type (CPU - 0, CUDA - 1, OPENCL - 2, MIC - 3)
  151. 0
  152. ####################
  153. # DEV_0
  154. # device id
  155. 0
  156. ####################
  157. # DEV_0
  158. # number of cores
  159. 1
  160. ##########
  161. # number of implementations
  162. 1
  163. #####
  164. # Model for cpu0_impl0 (Comb0)
  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. 8cfc3ba0 24883200 5.971968e+09 1.120418e+05 2.694960e+04 3.755640e+08 4.451334e+13 3352
  175. 24c84a50 11059200 1.769472e+09 3.494026e+04 6.587010e+03 1.697048e+08 6.140270e+12 4857
  176. f0ac7beb 4915200 5.242880e+08 1.147661e+04 2.242393e+03 3.799907e+07 4.527495e+11 3311
  177. d46431bb 1228800 6.553600e+07 1.593513e+03 3.073908e+02 2.396962e+07 3.961722e+10 15042