| Run m1 | Number processes: 1Number nodes: NARun Command: <executable> MPI Command: mpirun -np <number_processes>Dataset: Run Directory: /users/invite/vlnscdrc/kevin/XY-model |
|---|---|
| Run m2 | Number processes: 2Run Command: <executable> MPI Command: mpirun -np <number_processes>Dataset: Run Directory: /users/invite/vlnscdrc/kevin/XY-model |
| Run m4 | Number processes: 4Run Command: <executable> MPI Command: mpirun -np <number_processes>Dataset: Run Directory: /users/invite/vlnscdrc/kevin/XY-model |
| Run m8 | Number processes: 8Run Command: <executable> MPI Command: mpirun -np <number_processes>Dataset: Run Directory: /users/invite/vlnscdrc/kevin/XY-model |
| Run m16 | Number processes: 16Run Command: <executable> MPI Command: mpirun -np <number_processes>Dataset: Run Directory: /users/invite/vlnscdrc/kevin/XY-model |
| Run m32 | Number processes: 32Run Command: <executable> MPI Command: mpirun -np <number_processes>Dataset: Run Directory: /users/invite/vlnscdrc/kevin/XY-model |
| Run m64 | Number processes: 64Run Command: <executable> MPI Command: mpirun -np <number_processes>Dataset: Run Directory: /users/invite/vlnscdrc/kevin/XY-model |
| Run m128 | Number processes: 128Run Command: <executable> MPI Command: mpirun -np <number_processes>Dataset: Run Directory: /users/invite/vlnscdrc/kevin/XY-model |
| Run m192 | Number processes: 192Run Command: <executable> MPI Command: mpirun -np <number_processes>Dataset: Run Directory: /users/invite/vlnscdrc/kevin/XY-model |
| Loop id | Source Location | Source Function | Level | Max Thread Time / Walltime m1 (%) | Max Thread Time / Walltime m2 (%) | Max Thread Time / Walltime m4 (%) | Max Thread Time / Walltime m8 (%) | Max Thread Time / Walltime m16 (%) | Max Thread Time / Walltime m32 (%) | Max Thread Time / Walltime m64 (%) | Max Thread Time / Walltime m128 (%) | Max Thread Time / Walltime m192 (%) | Exclusive Coverage m1 (%) | Exclusive Coverage m2 (%) | Exclusive Coverage m4 (%) | Exclusive Coverage m8 (%) | Exclusive Coverage m16 (%) | Exclusive Coverage m32 (%) | Exclusive Coverage m64 (%) | Exclusive Coverage m128 (%) | Exclusive Coverage m192 (%) | Inclusive Coverage m1 (%) | Inclusive Coverage m2 (%) | Inclusive Coverage m4 (%) | Inclusive Coverage m8 (%) | Inclusive Coverage m16 (%) | Inclusive Coverage m32 (%) | Inclusive Coverage m64 (%) | Inclusive Coverage m128 (%) | Inclusive Coverage m192 (%) | Max Exclusive Time Over Threads m1 (s) | Max Exclusive Time Over Threads m2 (s) | Max Exclusive Time Over Threads m4 (s) | Max Exclusive Time Over Threads m8 (s) | Max Exclusive Time Over Threads m16 (s) | Max Exclusive Time Over Threads m32 (s) | Max Exclusive Time Over Threads m64 (s) | Max Exclusive Time Over Threads m128 (s) | Max Exclusive Time Over Threads m192 (s) | Max Inclusive Time Over Threads m1 (s) | Max Inclusive Time Over Threads m2 (s) | Max Inclusive Time Over Threads m4 (s) | Max Inclusive Time Over Threads m8 (s) | Max Inclusive Time Over Threads m16 (s) | Max Inclusive Time Over Threads m32 (s) | Max Inclusive Time Over Threads m64 (s) | Max Inclusive Time Over Threads m128 (s) | Max Inclusive Time Over Threads m192 (s) | Exclusive Time w.r.t. Wall Time m1 (s) | Exclusive Time w.r.t. Wall Time m2 (s) | Exclusive Time w.r.t. Wall Time m4 (s) | Exclusive Time w.r.t. Wall Time m8 (s) | Exclusive Time w.r.t. Wall Time m16 (s) | Exclusive Time w.r.t. Wall Time m32 (s) | Exclusive Time w.r.t. Wall Time m64 (s) | Exclusive Time w.r.t. Wall Time m128 (s) | Exclusive Time w.r.t. Wall Time m192 (s) | Inclusive Time w.r.t. Wall Time m1 (s) | Inclusive Time w.r.t. Wall Time m2 (s) | Inclusive Time w.r.t. Wall Time m4 (s) | Inclusive Time w.r.t. Wall Time m8 (s) | Inclusive Time w.r.t. Wall Time m16 (s) | Inclusive Time w.r.t. Wall Time m32 (s) | Inclusive Time w.r.t. Wall Time m64 (s) | Inclusive Time w.r.t. Wall Time m128 (s) | Inclusive Time w.r.t. Wall Time m192 (s) | Nb Threads m1 | Nb Threads m2 | Nb Threads m4 | Nb Threads m8 | Nb Threads m16 | Nb Threads m32 | Nb Threads m64 | Nb Threads m128 | Nb Threads m192 | Vectorization Ratio (%) | Vector Length Use (%) | Speedup If No Scalar Integer | Speedup If FP Vectorized | Speedup If Fully Vectorized | Speedup If Perfect Load Balancing m1 | Speedup If Perfect Load Balancing m2 | Speedup If Perfect Load Balancing m4 | Speedup If Perfect Load Balancing m8 | Speedup If Perfect Load Balancing m16 | Speedup If Perfect Load Balancing m32 | Speedup If Perfect Load Balancing m64 | Speedup If Perfect Load Balancing m128 | Speedup If Perfect Load Balancing m192 | Stride 0 | Stride 1 | Stride n | Stride Unknown | Stride Indirect | Array Access Efficiency | (m1) Efficiency | (m1) Potential Speed-Up (%) | (m2) Efficiency | (m2) Potential Speed-Up (%) | (m4) Efficiency | (m4) Potential Speed-Up (%) | (m8) Efficiency | (m8) Potential Speed-Up (%) | (m16) Efficiency | (m16) Potential Speed-Up (%) | (m32) Efficiency | (m32) Potential Speed-Up (%) | (m64) Efficiency | (m64) Potential Speed-Up (%) | (m128) Efficiency | (m128) Potential Speed-Up (%) | (m192) Efficiency | (m192) Potential Speed-Up (%) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2 | xy_model - simulation.cpp:27-55 [...] | metropolisHalfSweep(Lattice&, int, int, double, int, int, int) | InBetween | 41.47 | 40.10 | 38.56 | 34.98 | 29.47 | 22.27 | 10.20 | 2.56 | 1.25 | 41.62 | 39.77 | 38.24 | 35.08 | 30.39 | 24.49 | 14.93 | 5.37 | 2.42 | 64.09 | 61.41 | 58.63 | 53.55 | 46.55 | 37.50 | 22.87 | 8.23 | 3.69 | 19.41 | 9.70 | 4.96 | 2.53 | 1.35 | 0.86 | 0.49 | 0.24 | 0.19 | 29.90 | 14.83 | 7.44 | 3.85 | 1.94 | 1.24 | 0.70 | 0.37 | 0.25 | 19.41 | 9.51 | 4.78 | 2.38 | 1.23 | 0.76 | 0.43 | 0.24 | 0.16 | 29.90 | 14.69 | 7.34 | 3.63 | 1.88 | 1.17 | 0.66 | 0.37 | 0.24 | 1 | 2 | 4 | 8 | 16 | 32 | 64 | 128 | 192 | 31.73 | 19.83 | 1.38 | 1.73 | 6.38 | 1 | 1.02 | 1.03 | 1.04 | 1.11 | 1.16 | 1.33 | 1.3 | 1.54 | NA | NA | NA | NA | NA | 0.00 | 1 | 0 | 1.02 | 0 | 0.81 | 7.2 | 0.51 | 17.16 | 0.99 | 0.32 | 0.8 | 5.01 | 0.7 | 4.42 | 0.63 | 2 | 0.65 | 0.84 |
| 6 | xy_model - random.tcc:401-3367 [...] | metropolisHalfSweep(Lattice&, int, int, double, int, int, int) | InBetween | 14.59 | 14.63 | 13.74 | 13.27 | 10.85 | 9.32 | 4.22 | 1.31 | 0.66 | 14.64 | 14.26 | 13.69 | 12.26 | 10.88 | 8.67 | 5.16 | 1.85 | 0.83 | 15.24 | 14.99 | 14.30 | 12.83 | 11.40 | 9.11 | 5.43 | 1.97 | 0.88 | 6.83 | 3.54 | 1.76 | 0.96 | 0.50 | 0.36 | 0.20 | 0.13 | 0.10 | 7.11 | 3.70 | 1.85 | 1.00 | 0.53 | 0.37 | 0.21 | 0.13 | 0.10 | 6.83 | 3.41 | 1.71 | 0.83 | 0.44 | 0.27 | 0.15 | 0.08 | 0.05 | 7.11 | 3.58 | 1.79 | 0.87 | 0.46 | 0.28 | 0.16 | 0.09 | 0.06 | 1 | 2 | 4 | 8 | 16 | 32 | 64 | 128 | 191 | 14.81 | 16.32 | 1.73 | 2.35 | 8.6 | 1 | 1.04 | 1.03 | 1.13 | 1.15 | 1.37 | 1.59 | 1.93 | 2.34 | 0 | 0 | 0 | 2 | 0 | 50.00 | 1 | 0 | 1 | 0 | 0.8 | 2.77 | 0.51 | 5.95 | 0.97 | 0.3 | 0.79 | 1.82 | 0.72 | 1.46 | 0.64 | 0.67 | 0.67 | 0.28 |
| 3 | xy_model - random.tcc:401-3367 [...] | metropolisHalfSweep(Lattice&, int, int, double, int, int, int) | InBetween | 6.68 | 6.57 | 5.88 | 6.15 | 4.38 | 3.88 | 1.96 | 0.63 | 0.30 | 6.70 | 6.30 | 5.76 | 5.28 | 4.45 | 3.66 | 2.33 | 0.85 | 0.36 | 7.23 | 6.65 | 6.09 | 5.64 | 4.76 | 3.90 | 2.51 | 0.90 | 0.39 | 3.13 | 1.59 | 0.76 | 0.44 | 0.20 | 0.15 | 0.10 | 0.06 | 0.05 | 3.38 | 1.67 | 0.79 | 0.46 | 0.21 | 0.15 | 0.10 | 0.06 | 0.05 | 3.13 | 1.51 | 0.72 | 0.36 | 0.18 | 0.11 | 0.07 | 0.04 | 0.02 | 3.38 | 1.59 | 0.76 | 0.38 | 0.19 | 0.12 | 0.07 | 0.04 | 0.02 | 1 | 2 | 4 | 8 | 16 | 32 | 64 | 128 | 190 | 14.81 | 16.32 | 1.73 | 2.35 | 8.6 | 1 | 1.06 | 1.05 | 1.22 | 1.13 | 1.36 | 1.63 | 2.01 | 2.44 | 0 | 0 | 0 | 2 | 0 | 50.00 | 1 | 0 | 1.04 | 0 | 0.87 | 0.76 | 0.55 | 2.39 | 1.09 | 0 | 0.86 | 0.52 | 0.73 | 0.63 | 0.64 | 0.31 | 0.71 | 0.1 |
| 5 | xy_model - random.tcc:409-414 | metropolisHalfSweep(Lattice&, int, int, double, int, int, int) | Innermost | 0.41 | 0.25 | 0.43 | 0.35 | 0.44 | 0.52 | 0.31 | 0.10 | 0.10 | 0.41 | 0.22 | 0.21 | 0.22 | 0.20 | 0.16 | 0.14 | 0.03 | 0.02 | 0.41 | 0.22 | 0.21 | 0.22 | 0.20 | 0.16 | 0.14 | 0.03 | 0.02 | 0.19 | 0.06 | 0.05 | 0.03 | 0.02 | 0.02 | 0.01 | 0.01 | 0.01 | 0.19 | 0.06 | 0.05 | 0.03 | 0.02 | 0.02 | 0.01 | 0.01 | 0.01 | 0.19 | 0.05 | 0.03 | 0.01 | 0.01 | 0.00 | 0.00 | 0.00 | 0.00 | 0.19 | 0.05 | 0.03 | 0.01 | 0.01 | 0.00 | 0.00 | 0.00 | 0.00 | 1 | 2 | 4 | 8 | 14 | 19 | 36 | 20 | 35 | 100 | 50 | 1 | 1 | 2 | 1 | 1.14 | 2.1 | 1.67 | 2.24 | 2.45 | 2.35 | 1.67 | 2.56 | 0 | 0 | 0 | 0 | 0 | 0.00 | 1 | 0 | 1.81 | 0 | 1.45 | 0 | 0.81 | 0.04 | 1.5 | 0 | 1.19 | 0 | 0.72 | 0.04 | 1.23 | 0 | 0.74 | 0.01 |
| 8 | xy_model - random.tcc:409-414 | metropolisHalfSweep(Lattice&, int, int, double, int, int, int) | Innermost | 0.36 | 0.48 | 0.47 | 0.41 | 0.66 | 0.52 | 0.41 | 0.16 | 0.07 | 0.36 | 0.43 | 0.38 | 0.27 | 0.36 | 0.24 | 0.14 | 0.07 | 0.03 | 0.36 | 0.43 | 0.38 | 0.27 | 0.36 | 0.24 | 0.14 | 0.07 | 0.03 | 0.17 | 0.12 | 0.06 | 0.03 | 0.03 | 0.02 | 0.02 | 0.02 | 0.01 | 0.17 | 0.12 | 0.06 | 0.03 | 0.03 | 0.02 | 0.02 | 0.02 | 0.01 | 0.17 | 0.10 | 0.05 | 0.02 | 0.01 | 0.01 | 0.00 | 0.00 | 0.00 | 0.17 | 0.10 | 0.05 | 0.02 | 0.01 | 0.01 | 0.00 | 0.00 | 0.00 | 1 | 2 | 4 | 8 | 15 | 25 | 35 | 54 | 51 | 100 | 50 | 1 | 1 | 2 | 1 | 1.12 | 1.26 | 1.6 | 1.96 | 2.13 | 3.04 | 2.53 | 1.76 | 0 | 0 | 0 | 0 | 0 | 0.00 | 1 | 0 | 0.83 | 0.07 | 0.72 | 0.11 | 0.58 | 0.11 | 0.73 | 0.1 | 0.7 | 0.07 | 0.64 | 0.05 | 0.41 | 0.04 | 0.47 | 0.02 |
| 7 | xy_model - random.tcc:401-406 | metropolisHalfSweep(Lattice&, int, int, double, int, int, int) | Innermost | 0.23 | 0.37 | 0.31 | 0.48 | 0.33 | 0.39 | 0.21 | 0.10 | 0.07 | 0.24 | 0.29 | 0.24 | 0.31 | 0.17 | 0.19 | 0.13 | 0.05 | 0.02 | 0.24 | 0.29 | 0.24 | 0.31 | 0.17 | 0.19 | 0.13 | 0.05 | 0.02 | 0.11 | 0.09 | 0.04 | 0.04 | 0.01 | 0.01 | 0.01 | 0.01 | 0.01 | 0.11 | 0.09 | 0.04 | 0.04 | 0.01 | 0.01 | 0.01 | 0.01 | 0.01 | 0.11 | 0.07 | 0.03 | 0.02 | 0.01 | 0.01 | 0.00 | 0.00 | 0.00 | 0.11 | 0.07 | 0.03 | 0.02 | 0.01 | 0.01 | 0.00 | 0.00 | 0.00 | 1 | 2 | 4 | 8 | 15 | 23 | 32 | 35 | 31 | 100 | 50 | 1 | 1 | 2 | 1 | 1.29 | 1.33 | 1.65 | 2.14 | 1.86 | 1.6 | 1.67 | 1.88 | 0 | 0 | 0 | 0 | 0 | 0.00 | 1 | 0 | 0.79 | 0.06 | 0.73 | 0.06 | 0.33 | 0.2 | 1.03 | 0 | 0.58 | 0.08 | 0.48 | 0.07 | 0.41 | 0.03 | 0.53 | 0.01 |
| 4 | xy_model - random.tcc:401-406 | metropolisHalfSweep(Lattice&, int, int, double, int, int, int) | Innermost | 0.13 | 0.14 | 0.19 | 0.28 | 0.33 | 0.39 | 0.21 | 0.10 | 0.03 | 0.13 | 0.14 | 0.12 | 0.14 | 0.11 | 0.08 | 0.04 | 0.02 | 0.01 | 0.13 | 0.14 | 0.12 | 0.14 | 0.11 | 0.08 | 0.04 | 0.02 | 0.01 | 0.06 | 0.04 | 0.02 | 0.02 | 0.01 | 0.02 | 0.01 | 0.01 | 0.01 | 0.06 | 0.04 | 0.02 | 0.02 | 0.01 | 0.02 | 0.01 | 0.01 | 0.01 | 0.06 | 0.03 | 0.01 | 0.01 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.06 | 0.03 | 0.01 | 0.01 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 1 | 2 | 4 | 6 | 9 | 12 | 12 | 17 | 14 | 100 | 50 | 1 | 1 | 2 | 1 | 1.08 | 1.67 | 1.5 | 1.93 | 2.25 | 1.85 | 1.79 | 1 | 0 | 0 | 0 | 0 | 0 | 0.00 | 1 | 0 | 0.92 | 0.01 | 0.8 | 0.02 | 0.38 | 0.09 | 0.84 | 0.02 | 0.73 | 0.02 | 0.8 | 0.01 | 0.49 | 0.01 | 0.68 | 0 |
| 1 | xy_model - simulation.cpp:26-55 [...] | metropolisHalfSweep(Lattice&, int, int, double, int, int, int) | Outermost | 0.11 | 0.08 | 0.27 | 0.21 | 0.77 | 0.78 | 0.41 | 0.21 | 0.10 | 0.11 | 0.07 | 0.24 | 0.15 | 0.36 | 0.28 | 0.27 | 0.09 | 0.07 | 64.20 | 61.48 | 58.87 | 53.71 | 46.91 | 37.78 | 23.14 | 8.32 | 3.75 | 0.05 | 0.02 | 0.04 | 0.02 | 0.04 | 0.03 | 0.02 | 0.02 | 0.02 | 29.95 | 14.85 | 7.47 | 3.86 | 1.96 | 1.25 | 0.71 | 0.37 | 0.25 | 0.05 | 0.02 | 0.03 | 0.01 | 0.01 | 0.01 | 0.01 | 0.00 | 0.00 | 29.95 | 14.71 | 7.37 | 3.64 | 1.89 | 1.18 | 0.67 | 0.38 | 0.24 | 1 | 2 | 4 | 7 | 15 | 26 | 50 | 63 | 98 | 0 | 12.05 | 1 | 1 | 10.29 | 1 | 1.14 | 1.17 | 1.24 | 2.28 | 2.84 | 2.33 | 3.04 | 2.28 | NA | NA | NA | NA | NA | 0.00 | 1 | 0 | 1.43 | 0 | 0.33 | 0.16 | 0.3 | 0.11 | 0.21 | 0.28 | 0.18 | 0.23 | 0.1 | 0.24 | 0.09 | 0.08 | 0.06 | 0.06 |
| 29 | xy_model - mpi_utils.cpp:26-28 | exchangeHalo(Lattice&, ompi_communicator_t*) | Single | 0.02 | 0.02 | 0.04 | 0.07 | 0.11 | 0.26 | 0.21 | 0.05 | 0.03 | 0.02 | 0.02 | 0.01 | 0.02 | 0.01 | 0.03 | 0.02 | 0.00 | 0.00 | 0.02 | 0.02 | 0.01 | 0.02 | 0.01 | 0.03 | 0.02 | 0.00 | 0.00 | 0.01 | 0.00 | 0.01 | 0.00 | 0.00 | 0.01 | 0.01 | 0.00 | 0.01 | 0.01 | 0.00 | 0.01 | 0.00 | 0.00 | 0.01 | 0.01 | 0.00 | 0.01 | 0.01 | 0.01 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.01 | 0.01 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 1 | 2 | 1 | 2 | 1 | 4 | 4 | 3 | 5 | 0 | 12.5 | 1 | 1 | 8 | 1 | 1 | 1 | 1 | 1 | 1.6 | 1.6 | 1 | 1 | 0 | 2 | 0 | 1 | 0 | 83.33 | 1 | 0 | 1 | 0 | 1.6 | 0 | 0.51 | 0.01 | 1.97 | 0 | 0.39 | 0.02 | 0.35 | 0.01 | 0.52 | 0 | 0.32 | 0 |
| 27 | xy_model - mpi_utils.cpp:51-53 | exchangeHalo(Lattice&, ompi_communicator_t*) | Single | 0.01 | 0.02 | 0.04 | 0.14 | 0.11 | 0.00 | 0.10 | 0.05 | 0.03 | 0.01 | 0.02 | 0.01 | 0.03 | 0.02 | 0.00 | 0.01 | 0.01 | 0.01 | 0.01 | 0.02 | 0.01 | 0.03 | 0.02 | 0.00 | 0.01 | 0.01 | 0.01 | 0.00 | 0.00 | 0.01 | 0.01 | 0.01 | 0.00 | 0.00 | 0.01 | 0.01 | 0.00 | 0.00 | 0.01 | 0.01 | 0.01 | 0.00 | 0.00 | 0.01 | 0.01 | 0.00 | 0.01 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.01 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 1 | 2 | 1 | 2 | 3 | 0 | 3 | 5 | 12 | 0 | 12.5 | 1 | 1 | 8 | 1 | 1 | 1 | 1.33 | 1 | 0 | 1 | 1 | 1 | 0 | 2 | 0 | 1 | 0 | 83.33 | 1 | 0 | 0.5 | 0.01 | 0.8 | 0 | 0.17 | 0.02 | 0.33 | 0.02 | 0.29 | 0.01 | 0.16 | 0 | 0.07 | 0.01 |