options

Functions and Loops

6 loops and 5 functions have been discarded from the report because their ratio ((Max Inclusive Time Over Threads * 100) / Max Thread Active Time) is lower than the threshold set by object_coverage_threshold (0.01%). It represents about 0.01% of the application. To include them, change the value of object_coverage_threshold in the experiment directory configuration file, then rerun the command with the additionnal parameter --force-static-analysis.
Inclusive metrics are only related to the given object code and do not include other external objects / libraries.

Columns Filter

Max Thread Time / Walltime run_2_threads (%) Max Thread Time / Walltime run_4_threads (%) Max Thread Time / Walltime run_8_threads (%) Max Thread Time / Walltime run_16_threads (%) Max Thread Time / Walltime run_26_threads (%) Max Thread Time / Walltime run_52_threads (%) Coverage run_2_threads (%) Coverage run_4_threads (%) Coverage run_8_threads (%) Coverage run_16_threads (%) Coverage run_26_threads (%) Coverage run_52_threads (%) Coverage Excluding Loops run_2_threads (%) Coverage Excluding Loops run_4_threads (%) Coverage Excluding Loops run_8_threads (%) Coverage Excluding Loops run_16_threads (%) Coverage Excluding Loops run_26_threads (%) Coverage Excluding Loops run_52_threads (%) Max Inclusive Time Over Threads run_2_threads (s) Max Inclusive Time Over Threads run_4_threads (s) Max Inclusive Time Over Threads run_8_threads (s) Max Inclusive Time Over Threads run_16_threads (s) Max Inclusive Time Over Threads run_26_threads (s) Max Inclusive Time Over Threads run_52_threads (s) Max Exclusive Time Over Threads run_2_threads (s) Max Exclusive Time Over Threads run_4_threads (s) Max Exclusive Time Over Threads run_8_threads (s) Max Exclusive Time Over Threads run_16_threads (s) Max Exclusive Time Over Threads run_26_threads (s) Max Exclusive Time Over Threads run_52_threads (s) Inclusive Time w.r.t. Wall Time run_2_threads (s) Inclusive Time w.r.t. Wall Time run_4_threads (s) Inclusive Time w.r.t. Wall Time run_8_threads (s) Inclusive Time w.r.t. Wall Time run_16_threads (s) Inclusive Time w.r.t. Wall Time run_26_threads (s) Inclusive Time w.r.t. Wall Time run_52_threads (s) Exclusive Time w.r.t. Wall Time run_2_threads (s) Exclusive Time w.r.t. Wall Time run_4_threads (s) Exclusive Time w.r.t. Wall Time run_8_threads (s) Exclusive Time w.r.t. Wall Time run_16_threads (s) Exclusive Time w.r.t. Wall Time run_26_threads (s) Exclusive Time w.r.t. Wall Time run_52_threads (s) Nb Threads run_2_threads Nb Threads run_4_threads Nb Threads run_8_threads Nb Threads run_16_threads Nb Threads run_26_threads Nb Threads run_52_threads Deviation (coverage) run_2_threads Deviation (coverage) run_4_threads Deviation (coverage) run_8_threads Deviation (coverage) run_16_threads Deviation (coverage) run_26_threads Deviation (coverage) run_52_threads Deviation (walltime) run_2_threads Deviation (walltime) run_4_threads Deviation (walltime) run_8_threads Deviation (walltime) run_16_threads Deviation (walltime) run_26_threads Deviation (walltime) run_52_threads Categories run_2_threads Categories run_4_threads Categories run_8_threads Categories run_16_threads Categories run_26_threads Categories run_52_threads Compilation Options (run_2_threads) Efficiency (run_2_threads) Potential Speed-Up (%) (run_4_threads) Efficiency (run_4_threads) Potential Speed-Up (%) (run_8_threads) Efficiency (run_8_threads) Potential Speed-Up (%) (run_16_threads) Efficiency (run_16_threads) Potential Speed-Up (%) (run_26_threads) Efficiency (run_26_threads) Potential Speed-Up (%) (run_52_threads) Efficiency (run_52_threads) Potential Speed-Up (%) Max Thread Time / Walltime Coverage Coverage Excluding Loops Max Inclusive Time Over Threads Max Exclusive Time Over Threads Inclusive Time w.r.t. Wall Time Exclusive Time w.r.t. Wall Time Nb Threads Deviation (coverage) Deviation (walltime) Categories Compilation Options Efficiency Potential Speed-Up
Run 1 Run 2 Run 3 Run 4 Run 5 Run 6
NameModuleMax Thread Time / Walltime run_2_threads (%)Max Thread Time / Walltime run_4_threads (%)Max Thread Time / Walltime run_8_threads (%)Max Thread Time / Walltime run_16_threads (%)Max Thread Time / Walltime run_26_threads (%)Max Thread Time / Walltime run_52_threads (%)Coverage run_2_threads (%)Coverage run_4_threads (%)Coverage run_8_threads (%)Coverage run_16_threads (%)Coverage run_26_threads (%)Coverage run_52_threads (%)Coverage Excluding Loops run_2_threads (%)Coverage Excluding Loops run_4_threads (%)Coverage Excluding Loops run_8_threads (%)Coverage Excluding Loops run_16_threads (%)Coverage Excluding Loops run_26_threads (%)Coverage Excluding Loops run_52_threads (%)Max Inclusive Time Over Threads run_2_threads (s)Max Inclusive Time Over Threads run_4_threads (s)Max Inclusive Time Over Threads run_8_threads (s)Max Inclusive Time Over Threads run_16_threads (s)Max Inclusive Time Over Threads run_26_threads (s)Max Inclusive Time Over Threads run_52_threads (s)Max Exclusive Time Over Threads run_2_threads (s)Max Exclusive Time Over Threads run_4_threads (s)Max Exclusive Time Over Threads run_8_threads (s)Max Exclusive Time Over Threads run_16_threads (s)Max Exclusive Time Over Threads run_26_threads (s)Max Exclusive Time Over Threads run_52_threads (s)Inclusive Time w.r.t. Wall Time run_2_threads (s)Inclusive Time w.r.t. Wall Time run_4_threads (s)Inclusive Time w.r.t. Wall Time run_8_threads (s)Inclusive Time w.r.t. Wall Time run_16_threads (s)Inclusive Time w.r.t. Wall Time run_26_threads (s)Inclusive Time w.r.t. Wall Time run_52_threads (s)Exclusive Time w.r.t. Wall Time run_2_threads (s)Exclusive Time w.r.t. Wall Time run_4_threads (s)Exclusive Time w.r.t. Wall Time run_8_threads (s)Exclusive Time w.r.t. Wall Time run_16_threads (s)Exclusive Time w.r.t. Wall Time run_26_threads (s)Exclusive Time w.r.t. Wall Time run_52_threads (s)Nb Threads run_2_threadsNb Threads run_4_threadsNb Threads run_8_threadsNb Threads run_16_threadsNb Threads run_26_threadsNb Threads run_52_threadsDeviation (coverage) run_2_threadsDeviation (coverage) run_4_threadsDeviation (coverage) run_8_threadsDeviation (coverage) run_16_threadsDeviation (coverage) run_26_threadsDeviation (coverage) run_52_threadsDeviation (walltime) run_2_threadsDeviation (walltime) run_4_threadsDeviation (walltime) run_8_threadsDeviation (walltime) run_16_threadsDeviation (walltime) run_26_threadsDeviation (walltime) run_52_threadsCategories run_2_threadsCategories run_4_threadsCategories run_8_threadsCategories run_16_threadsCategories run_26_threadsCategories run_52_threadsCompilation Options(run_2_threads) Efficiency(run_2_threads) Potential Speed-Up (%)(run_4_threads) Efficiency(run_4_threads) Potential Speed-Up (%)(run_8_threads) Efficiency(run_8_threads) Potential Speed-Up (%)(run_16_threads) Efficiency(run_16_threads) Potential Speed-Up (%)(run_26_threads) Efficiency(run_26_threads) Potential Speed-Up (%)(run_52_threads) Efficiency(run_52_threads) Potential Speed-Up (%)
computeForces(Particles&, CellList const&) [clone .extracted]+md-icpx-Ofast99.4399.2798.9097.9196.6191.2999.2898.4896.1792.8689.1381.860.000.000.000.000.000.00996.79506.62261.32135.8887.2647.900.000.000.000.000.010.00994.55502.00253.57128.2179.9342.440.000.000.000.000.000.002481626520.320.661.261.651.811.833.643.523.442.311.670.98Exe (%): 100.00Exe (%): 100.00Exe (%): 100.00Exe (%): 100.00Exe (%): 100.00Exe (%): 100.00clang based Intel(R) oneAPI DPC++/C++ Compiler 2024.2.1 (2024.2.1.20240711) --driver-mode=g++ --intel -I include -std=c++17 -fiopenmp -D USE_OPENMP -D COMPUTE_FORCES_OPTIMS -Wall -Werror -Wextra -Ofast -funroll-loops -g -x Host -mtune=native -c simulation...100.990.930.981.870.972.820.963.820.98.08
Loop 24 - simulation.cpp:140-246 - md-icpx-Ofast [...]+0.000.000.000.000.010.0199.2898.4896.1792.8689.1381.860.000.000.000.000.000.00997.93509.96262.55136.5187.6448.180.000.000.000.010.000.01994.55502.00253.57128.2179.9342.440.000.000.000.000.000.000001130.000.000.000.000.000.000.000.000.000.000.000.00
Loop 25 - simulation.cpp:140-246 - md-icpx-Ofast [...]+0.080.100.100.130.110.1399.2898.4896.1792.8689.1381.860.080.090.080.090.080.07997.93509.96262.55136.5087.6448.180.810.500.270.180.100.07994.55502.00253.57128.2179.9342.440.790.460.220.120.070.042481626520.000.010.010.020.020.030.020.050.040.030.020.01100.870.010.910.010.80.020.840.010.820.01
Loop 26 - simulation.cpp:158-239 - md-icpx-Ofast [...]+0.540.550.540.530.560.5399.2098.3996.0992.7789.0581.790.530.500.490.470.450.39997.12509.45262.28136.3387.5448.115.432.811.430.740.500.28993.76501.55253.35128.0879.8642.405.292.551.280.650.400.202481626520.020.050.040.040.050.050.210.240.120.060.050.03101.0401.0301.0201.01-01.010
Loop 27 - simulation.cpp:176-239 - md-icpx-Ofast [...]+0.850.950.990.990.890.8298.6797.8995.6192.3088.6081.400.840.910.930.900.810.64991.69506.64260.85135.5987.0347.838.514.832.621.380.810.43988.47499.00252.07127.4479.4642.208.384.662.451.240.730.332481626520.020.030.040.050.050.090.190.140.100.070.050.05100.90.090.850.130.840.140.880.10.980.02
Loop 28 - stl_vector.h:1119-1283 - md-icpx-Ofast [...]+61.0361.1060.2159.2958.0953.5797.8496.9794.6891.4187.7880.7760.9760.3358.3055.4152.3947.25983.18501.81258.23134.2186.2347.40611.80311.81159.0982.2952.4728.11980.10494.34249.62126.2078.7341.87610.76307.56153.7176.5046.9824.502481626520.150.560.841.281.401.301.762.932.291.791.280.68100.990.430.990.3910.11100.961.94
Loop 32 - simulation.cpp:231-231 - md-icpx-Ofast5.175.225.365.455.406.165.175.135.185.155.095.715.175.135.185.155.095.7151.8026.6214.167.574.883.2351.8026.6214.167.574.883.2351.7826.1513.667.114.562.9651.7826.1513.667.114.562.962481626520.000.060.120.180.190.230.050.330.310.250.170.12100.990.050.950.270.910.460.870.650.671.86
Loop 34 - simulation.cpp:239-239 - md-icpx-Ofast6.556.626.806.827.066.526.496.556.566.616.726.156.496.556.566.616.726.1565.7133.7817.959.476.383.4265.7133.7817.959.476.383.4265.0433.3817.299.136.023.1965.0433.3817.299.136.023.192481626520.090.060.140.190.200.260.970.290.390.260.180.14100.970.170.940.390.890.720.831.140.791.32
Loop 30 - simulation.cpp:222-222 - md-icpx-Ofast6.456.426.376.166.115.766.446.326.205.985.715.046.446.326.205.985.715.0464.7032.7516.838.555.513.0264.7032.7516.838.555.513.0264.5432.2016.348.265.122.6264.5432.2016.348.265.122.622481626520.030.130.160.140.200.260.260.660.430.200.180.1310100.990.080.980.140.970.180.950.26
Loop 33 - simulation.cpp:235-235 - md-icpx-Ofast6.576.596.726.787.206.866.496.436.506.646.746.416.496.436.506.646.746.4165.8533.6517.759.416.503.6065.8533.6517.759.416.503.6065.0232.7717.159.166.043.3265.0232.7717.159.166.043.322481626520.120.140.140.140.190.261.200.700.370.190.170.14100.990.050.950.340.890.750.831.160.751.59
Loop 29 - simulation.cpp:218-218 - md-icpx-Ofast5.936.065.905.855.615.975.925.985.765.635.455.275.925.985.765.635.455.2759.4230.9315.598.115.063.1359.4230.9315.598.115.063.1359.2830.4915.197.774.892.7359.2830.4915.197.774.892.732481626520.020.100.110.160.160.260.240.500.290.230.150.13100.970.170.980.140.950.260.930.370.830.87
Loop 31 - simulation.cpp:226-226 - md-icpx-Ofast6.376.326.386.366.015.496.366.246.185.995.694.946.366.246.185.995.694.9463.9132.2716.878.825.422.8863.9132.2716.878.825.422.8863.6831.7916.298.275.102.5663.6831.7916.298.275.102.562481626520.040.060.100.190.190.240.360.330.270.260.170.1310100.980.140.960.220.960.230.960.21
kmp_flag_64<false, true>::wait(kmp_info*, int, void*)libiomp5.so0.401.534.187.7311.1417.940.261.023.186.229.6316.110.261.023.186.229.6316.114.037.8311.0410.7310.069.424.037.8311.0410.7310.069.422.565.208.398.598.648.352.565.208.398.598.648.352481626520.210.581.181.571.741.892.092.943.112.171.560.98OMP (%): 100.00OMP (%): 100.00OMP (%): 100.00OMP (%): 100.00OMP (%): 100.00OMP (%): 100.00100.250.770.082.940.045.990.029.410.0115.92
__svml_fmod4_l9md-icpx-Ofast0.140.140.140.160.150.180.140.140.130.120.110.110.140.140.130.120.110.111.410.740.380.220.130.091.410.740.380.220.130.091.400.690.350.170.100.061.400.690.350.170.100.062481626520.000.010.010.020.020.030.020.060.020.030.020.01Math (%): 100.00Math (%): 100.00Math (%): 100.00Math (%): 100.00Math (%): 100.00Math (%): 100.00101.01-01.01-01.04-01.100.940.01
velocityVerlet(Particles&, CellList&, int, int) [clone .extracted]+md-icpx-Ofast0.100.110.120.190.270.580.090.100.100.160.220.470.000.000.000.000.000.000.970.540.330.270.240.300.000.000.000.000.000.000.950.490.270.220.190.240.000.000.000.000.000.002481626520.000.010.010.020.030.050.020.060.030.030.030.03Exe (%): 100.00Exe (%): 100.00Exe (%): 100.00Exe (%): 100.00Exe (%): 100.00Exe (%): 100.00clang based Intel(R) oneAPI DPC++/C++ Compiler 2024.2.1 (2024.2.1.20240711) --driver-mode=g++ --intel -I include -std=c++17 -fiopenmp -D USE_OPENMP -D COMPUTE_FORCES_OPTIMS -Wall -Werror -Wextra -Ofast -funroll-loops -g -x Host -mtune=native -c simulation...100.9800.880.010.550.070.380.140.150.4
Loop 43 - simulation.cpp:322-336 - md-icpx-Ofast0.100.110.120.190.270.580.090.100.100.160.220.470.090.100.100.160.220.470.970.540.330.270.240.300.970.540.330.270.240.300.950.490.270.220.190.240.950.490.270.220.190.242481626520.000.010.010.020.030.050.020.060.030.030.030.03100.9800.880.010.550.070.380.130.150.4
Loop 44 - simulation.cpp:322-335 - md-icpx-Ofast0.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000000000.000.000.000.000.000.000.000.000.000.000.000.00
velocityVerlet(Particles&, CellList&, int, int) [clone .extracted.39]+md-icpx-Ofast0.090.090.130.220.330.540.090.090.120.190.260.400.000.000.000.000.000.000.890.470.360.300.300.280.000.000.000.000.010.010.870.450.320.270.230.210.000.000.000.000.000.002481626520.000.000.020.020.030.050.040.010.040.020.030.03Exe (%): 100.00Exe (%): 100.00Exe (%): 100.00Exe (%): 100.00Exe (%): 100.00Exe (%): 100.00clang based Intel(R) oneAPI DPC++/C++ Compiler 2024.2.1 (2024.2.1.20240711) --driver-mode=g++ --intel -I include -std=c++17 -fiopenmp -D USE_OPENMP -D COMPUTE_FORCES_OPTIMS -Wall -Werror -Wextra -Ofast -funroll-loops -g -x Host -mtune=native -c simulation...100.9600.680.040.410.110.290.190.160.33
Loop 45 - simulation.cpp:351-354 - md-icpx-Ofast0.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000000000.000.000.000.000.000.000.000.000.000.000.000.00
Loop 46 - simulation.cpp:351-355 - md-icpx-Ofast0.090.090.130.220.330.530.090.090.120.190.260.400.090.090.120.190.260.400.890.470.360.300.300.280.890.470.360.300.300.280.870.450.320.270.230.210.870.450.320.270.230.212481626520.000.000.020.020.030.050.040.010.040.020.030.03100.9600.680.040.410.110.290.190.160.33
__intel_avx_rep_memset+md-icpx-Ofast0.100.200.470.761.223.630.050.050.060.050.050.070.050.050.060.050.050.071.011.001.241.061.101.901.011.001.241.061.101.900.520.270.160.070.050.040.520.270.160.070.050.04244715150.070.100.230.290.320.960.690.490.620.400.280.49Memory (%): 100.00Memory (%): 100.00Memory (%): 100.00Memory (%): 100.00Memory (%): 100.00Memory (%): 100.00100.9700.820.010.9400.840.010.520.03
Loop 105 - - md-icpx-Ofast0.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000000000.000.000.000.000.000.000.000.000.000.000.000.00
assignParticlesToCells(Particles const&, CellList&) [clone .extracted.24]+md-icpx-Ofast0.050.050.070.100.170.220.050.050.060.080.110.150.000.000.000.000.000.000.480.270.190.140.150.120.000.000.000.000.000.000.460.260.160.110.100.080.000.000.000.000.000.002481626520.000.000.000.010.040.020.020.010.010.010.030.01Exe (%): 100.00Exe (%): 100.00Exe (%): 100.00Exe (%): 100.00Exe (%): 100.00Exe (%): 100.00clang based Intel(R) oneAPI DPC++/C++ Compiler 2024.2.1 (2024.2.1.20240711) --driver-mode=g++ --intel -I include -std=c++17 -fiopenmp -D USE_OPENMP -D COMPUTE_FORCES_OPTIMS -Wall -Werror -Wextra -Ofast -funroll-loops -g -x Host -mtune=native -c simulation...100.890.010.730.020.520.040.360.070.230.12
Loop 19 - simulation.cpp:107-125 - md-icpx-Ofast [...]0.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000000000.000.000.000.000.000.000.000.000.000.000.000.00
Loop 22 - simulation.cpp:107-126 - md-icpx-Ofast [...]+0.000.000.000.000.000.000.050.050.060.080.110.150.000.000.000.000.000.000.500.290.200.150.180.130.000.000.000.000.000.000.460.260.160.110.100.080.000.000.000.000.000.000110000.000.000.000.000.000.000.000.000.000.000.000.00
Loop 20 - simulation.cpp:107-126 - md-icpx-Ofast [...]0.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000000000.000.000.000.000.000.000.000.000.000.000.000.00
Loop 23 - simulation.cpp:107-126 - md-icpx-Ofast [...]0.010.010.020.020.030.020.010.010.010.010.010.000.010.010.010.010.010.000.120.060.040.030.030.010.120.060.040.030.030.010.110.040.030.010.010.000.110.040.030.010.010.002481521130.000.000.000.010.010.000.010.010.010.010.010.00101.26-01.1-01.19-00.9102.920
Loop 21 - simulation.cpp:107-126 - md-icpx-Ofast [...]0.040.040.060.090.170.220.040.040.050.070.100.150.040.040.050.070.100.150.380.220.150.120.150.120.380.220.150.120.150.120.350.220.130.100.090.080.350.220.130.100.090.082481626520.000.000.000.010.030.020.040.010.010.010.030.01100.810.010.670.020.450.040.30.070.180.12
__libm_logl_exmd-icpx-Ofast0.030.060.110.220.340.530.010.020.010.010.010.010.010.020.010.010.010.010.300.310.300.300.300.280.300.310.300.300.300.280.150.080.040.020.010.010.150.080.040.020.010.011111110.000.000.000.000.000.000.000.000.000.000.000.00Exe (%): 100.00Exe (%): 100.00Exe (%): 100.00Exe (%): 100.00Exe (%): 100.00Exe (%): 100.00100.970100.9800.9801.07-0
assignParticlesToCells(Particles const&, CellList&) [clone .extracted.11]+md-icpx-Ofast0.010.020.020.030.030.070.010.010.010.020.010.040.000.000.000.000.000.000.150.090.060.040.030.040.000.000.000.000.000.010.120.070.040.020.010.020.000.000.000.000.000.002481626520.000.000.000.000.010.010.030.010.010.010.010.01Exe (%): 100.00Exe (%): 100.00Exe (%): 100.00Exe (%): 100.00Exe (%): 100.00Exe (%): 100.00clang based Intel(R) oneAPI DPC++/C++ Compiler 2024.2.1 (2024.2.1.20240711) --driver-mode=g++ --intel -I include -std=c++17 -fiopenmp -D USE_OPENMP -D COMPUTE_FORCES_OPTIMS -Wall -Werror -Wextra -Ofast -funroll-loops -g -x Host -mtune=native -c simulation...100.8700.7900.7300.7900.220.03
Loop 8 - simulation.cpp:51-68 - md-icpx-Ofast [...]0.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000000000.000.000.000.000.000.000.000.000.000.000.000.00
Loop 10 - simulation.cpp:51-69 - md-icpx-Ofast [...]+0.000.000.000.000.010.010.010.010.010.010.010.040.000.000.000.000.000.000.170.100.060.040.040.050.000.000.010.000.000.000.120.070.040.020.010.020.000.000.000.000.000.000030120.000.000.000.000.000.000.000.000.000.000.000.00
Loop 9 - simulation.cpp:51-69 - md-icpx-Ofast [...]0.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000000000.000.000.000.000.000.000.000.000.000.000.000.00
Loop 12 - simulation.cpp:51-69 - md-icpx-Ofast [...]0.000.000.010.010.010.010.000.000.000.000.000.000.000.000.000.000.000.000.040.020.010.020.010.010.040.020.010.020.010.010.020.020.010.000.000.000.020.020.010.000.000.0024899130.000.000.000.000.000.000.020.010.000.000.000.00100.600.6400.600.900.690
Loop 11 - simulation.cpp:51-69 - md-icpx-Ofast [...]0.010.020.020.020.030.070.010.010.010.010.010.040.010.010.010.010.010.040.140.080.040.030.030.040.140.080.040.030.030.040.100.050.030.020.010.020.100.050.030.020.010.022481523520.000.000.000.000.010.010.050.020.010.000.010.01100.9800.8900.7800.7800.20.03
double std::uniform_real_distribution<double>::operator()<std::mersenne_twister_engine<unsigned long, 32ul, 624ul, 397ul, 31ul, 2567483615ul, 11ul, 4294967295ul, 7ul, 2636928640ul, 15ul, 4022730752ul, 18ul, 1812433253ul> >(std::mersenne_t...+md-icpx-Ofast0.010.030.050.090.160.300.010.010.010.010.010.010.010.010.000.000.000.000.140.140.150.130.140.160.120.130.110.090.100.130.070.030.020.010.010.000.060.030.010.010.000.001111110.000.000.000.000.000.000.000.000.000.000.000.00Exe (%): 100.00Exe (%): 100.00Exe (%): 100.00Exe (%): 100.00Exe (%): 100.00Exe (%): 100.00clang based Intel(R) oneAPI DPC++/C++ Compiler 2024.2.1 (2024.2.1.20240711) --driver-mode=g++ --intel -I include -std=c++17 -fiopenmp -D USE_OPENMP -D COMPUTE_FORCES_OPTIMS -Wall -Werror -Wextra -Ofast -funroll-loops -g -x Host -mtune=native -c particle.c...101.07-0101.16-0100.930
Loop 59 - random.tcc:404-3368 - md-icpx-Ofast [...]+0.000.000.010.020.030.060.000.000.000.000.000.000.000.000.000.000.000.000.030.010.040.030.040.030.030.010.030.030.030.030.010.000.010.000.000.000.010.000.000.000.000.001111110.000.000.000.000.000.000.000.000.000.000.000.00102.5-00.830100.8300.830
Loop 61 - random.tcc:412-417 - md-icpx-Ofast0.000.000.000.000.010.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000010100.000.000.000.000.000.000.000.000.000.000.000.00
Loop 60 - random.tcc:404-409 - md-icpx-Ofast0.000.000.000.000.010.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000.000011100.000.000.000.000.000.000.000.000.000.000.000.00
re_compile_fastmaplibc.so.60.000.000.000.130.000.000.000.000.000.100.000.000.000.000.000.100.000.000.000.000.000.180.000.000.000.000.000.180.000.000.000.000.000.140.000.000.000.000.000.140.000.0000016000.000.000.000.030.000.000.000.000.000.040.000.00NANANAString (%): 100.00NANA101010101010
__sched_yieldlibc.so.60.000.000.000.000.240.440.000.000.000.000.170.280.000.000.000.000.170.280.000.000.000.000.220.230.000.000.000.000.220.230.000.000.000.000.150.150.000.000.000.000.150.15000026520.000.000.000.000.040.060.000.000.000.000.040.03NANANANASystem (%): 100.00System (%): 100.00101010101010
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