使用机器学习框架和工具创建系统级硬件软件协同设计模型 MATLAB.zip

|------------------------------------| Artix-7 |------------------------------------| ['Column1', 'DEVICE', 'BOARD', 'FUNCTION', 'DATA_TYPE', 'ID_VAL', 'DSP', 'BRAM', 'Flip_Flop', 'Area', 'min_Slack', 'Max_Freq', 'Time', 'Energy', 'BugsDelivered', 'DifficultyLevel', 'DistinctOperands', 'DistinctOperators', 'Effort', 'ProgramLength', 'ProgramLevel', 'ProgramVolume', 'TimeToImplement', 'TotalOperators', 'Total_Operands', 'VocabularySize', 'Sloc', 'DecisionPoint', 'GlobalVariables', 'If', 'Loop', 'Goto', 'Assignment', 'ExitPoint', 'Function.1', 'FunctionCall', 'PointerDereferencing', 'CyclomaticComplexity', 'SyntacticallyReachableFunctions', 'SemanticallyReachedFunctions', 'CoverageEstimation', 'SCALAR_INPUT', 'RANGE_SCALAR_VALUES', 'SCALAR_INDEX_INPUT', 'RANGE_SCALAR_INDEX_VALUES', 'ARRAY_INPUT', 'RANGE_ARRAY_INPUT', 'cInstr', 'assemblyInstr', 'clockCycles', 'CC4CS', 'Bugs_Delivered', 'SS_VAL_1', 'SV_VAL_1', 'SV_VAL_2', 'V_VAL_1', 'V_VAL_2', 'V_VAL_3', 'V_VAL_4', 'V_VAL_5', 'V_VAL_6', 'V_VAL_7', 'V_VAL_8', 'V_VAL_9', 'V_VAL_10', 'V_VAL_11', 'V_VAL_12', 'V_VAL_13', 'V_VAL_14', 'V_VAL_15', 'V_VAL_16', 'V_VAL_17', 'V_VAL_18', 'V_VAL_19', 'V_VAL_20', 'V_VAL_21', 'V_VAL_22', 'V_VAL_23', 'V_VAL_24', 'V_VAL_25', 'V_VAL_26', 'V_VAL_27', 'V_VAL_28', 'M_VAL_1', 'M_VAL_2', 'M_VAL_3', 'M_VAL_4', 'M_VAL_5', 'M_VAL_6', 'M_VAL_7', 'M_VAL_8', 'M_VAL_9', 'M_VAL_10', 'M_VAL_11', 'M_VAL_12', 'M_VAL_13', 'M_VAL_14', 'M_VAL_15', 'M_VAL_16', 'M_VAL_17', 'M_VAL_18', 'M_VAL_19', 'M_VAL_20', 'M_VAL_21', 'M_VAL_22', 'M_VAL_23', 'M_VAL_24', 'M_VAL_25', 'M_VAL_26', 'M_VAL_27', 'M_VAL_28', 'M_VAL_29', 'M_VAL_30', 'M_VAL_31', 'M_VAL_32'] ['BRAM', 'Flip_Flop', 'Area', 'min_Slack', 'Max_Freq'] clockCycles DSP BRAM Flip_Flop Area min_Slack Max_Freq clockCycles 0 0 8 181 2427 1.887380e-15 218.007412 997 1 0 8 181 2427 1.887380e-15 218.007412 60 2 0 8 181 2427 1.887380e-15 218.007412 822 3 0 8 181 2427 1.887380e-15 218.007412 302 4 0 8 181 2427 1.887380e-15 218.007412 663 ... ... ... ... ... ... ... ... 2095 0 8 336 2495 1.887380e-15 208.489701 4544 2096 0 16 250 2431 1.887380e-15 208.489701 50 2097 0 16 250 2431 1.887380e-15 208.489701 50 2098 0 8 340 2499 1.887380e-15 208.489701 49348 2099 0 16 250 2431 1.887380e-15 208.489701 352 [2100 rows x 7 columns] Column1 BugsDelivered DifficultyLevel DistinctOperands \ 0 6300 1.275580 35.09 108 1 6301 1.159960 36.19 93 2 6302 1.276457 35.17 107 3 6303 1.223947 34.73 103 4 6304 1.265803 34.35 108 ... ... ... ... ... 2095 8395 0.828293 24.84 67 2096 8396 0.388500 47.36 14 2097 8397 0.391100 44.20 15 2098 8398 2.489283 45.76 127 2099 8399 0.465537 31.50 26 DistinctOperators Effort ProgramLength ProgramLevel \ 0 53 134272.46 522 0.03 1 53 125930.32 484 0.03 2 53 134672.09 523 0.03 3 53 127534.15 504 0.03 4 53 130448.24 518 0.03 ... ... ... ... ... 2095 26 61714.04 380 0.04 2096 26 55194.86 219 0.02 2097 26 51860.03 219 0.02 2098 26 341698.33 1029 0.02 2099 26 43993.14 245 0.03 ProgramVolume TimeToImplement ... M_VAL_23 M_VAL_24 M_VAL_25 \ 0 3826.74 7459.58 ... 0 0 0 1 3479.88 6996.13 ... 0 0 0 2 3829.37 7481.78 ... 0 0 0 3 3671.84 7085.23 ... 0 0 0 4 3797.41 7247.12 ... 0 0 0 ... ... ... ... ... ... ... 2095 2484.88 3428.56 ... 3 6 3 2096 1165.50 3066.38 ... 0 0 0 2097 1173.30 2881.11 ... 0 0 0 2098 7467.85 18983.24 ... 0 9 19 2099 1396.61 2444.06 ... 0 0 0 M_VAL_26 M_VAL_27 M_VAL_28 M_VAL_29 M_VAL_30 M_VAL_31 M_VAL_32 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 ... ... ... ... ... ... ... ... 2095 1 2 2 2 3 1 4 2096 0 0 0 0 0 0 0 2097 0 0 0 0 0 0 0 2098 20 11 11 4 35 0 8 2099 0 0 0 0 0 0 0 [2100 rows x 99 columns] |------------------------------------| DSP |------------------------------------| C:\Users\vitto\AppData\Local\Temp\ipykernel_17296\929690531.py:34: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy y.fillna(0, inplace=True) ================ Feature Importance ============== ExtraTreesRegressor ____________________________________________________ ExtraTreesRegressor feature cInstr 0.003654 VocabularySize 0.008498 V_VAL_9 0.000817 V_VAL_8 0.001309 V_VAL_7 0.001090 ... ... Column1 0.040115 Bugs_Delivered 0.013571 BugsDelivered 0.013246 Assignment 0.046137 ARRAY_INPUT 0.151009 [99 rows x 1 columns] ---------------------------------------------------- ================ Feature Importance ============== GradientBoostingRegressor ____________________________________________________ GradientBoostingRegressor feature cInstr 0.018392 VocabularySize 0.000040 V_VAL_9 0.001907 V_VAL_8 0.000553 V_VAL_7 0.000203 ... ... Column1 0.525900 Bugs_Delivered 0.000127 BugsDelivered 0.003511 Assignment 0.000002 ARRAY_INPUT 0.233985 [99 rows x 1 columns] ---------------------------------------------------- ================ Feature Importance ============== AdaBoostRegressor _____________________________________