chol_model_11.hannibal 2.0 KB

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  1. ##################
  2. # Performance Model Version
  3. 45
  4. ####################
  5. # COMBs
  6. # number of combinations
  7. 3
  8. ####################
  9. # COMB_1
  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. 0
  20. ####################
  21. # DEV_0
  22. # number of cores
  23. 1
  24. ##########
  25. # number of implementations
  26. 1
  27. #####
  28. # Model for cuda0_impl0 (Comb1)
  29. # number of entries
  30. 1
  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. 617e5fe6 3686400 0 1.701016e+05 7.229737e+03 4.082438e+06 6.956835e+11 24
  39. ####################
  40. # COMB_2
  41. # number of types devices
  42. 1
  43. ####################
  44. # DEV_0
  45. # device type (CPU - 0, CUDA - 1, OPENCL - 2, MIC - 3)
  46. 1
  47. ####################
  48. # DEV_0
  49. # device id
  50. 1
  51. ####################
  52. # DEV_0
  53. # number of cores
  54. 1
  55. ##########
  56. # number of implementations
  57. 1
  58. #####
  59. # Model for cuda1_impl0 (Comb2)
  60. # number of entries
  61. 1
  62. # sumlnx sumlnx2 sumlny sumlnxlny alpha beta n minx maxx
  63. 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 nan nan 0 0 0
  64. # a b c
  65. nan nan nan
  66. # not multiple-regression-base
  67. 0
  68. # hash size flops mean (us) dev (us) sum sum2 n
  69. 617e5fe6 3686400 0 1.188776e+05 9.331204e+02 2.113643e+08 2.512803e+13 1778
  70. ####################
  71. # COMB_3
  72. # number of types devices
  73. 1
  74. ####################
  75. # DEV_0
  76. # device type (CPU - 0, CUDA - 1, OPENCL - 2, MIC - 3)
  77. 1
  78. ####################
  79. # DEV_0
  80. # device id
  81. 2
  82. ####################
  83. # DEV_0
  84. # number of cores
  85. 1
  86. ##########
  87. # number of implementations
  88. 1
  89. #####
  90. # Model for cuda2_impl0 (Comb3)
  91. # number of entries
  92. 1
  93. # sumlnx sumlnx2 sumlny sumlnxlny alpha beta n minx maxx
  94. 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 nan nan 0 0 0
  95. # a b c
  96. nan nan nan
  97. # not multiple-regression-base
  98. 0
  99. # hash size flops mean (us) dev (us) sum sum2 n
  100. 617e5fe6 3686400 0 1.205438e+05 2.044578e+03 2.189075e+08 2.639552e+13 1816