reduction performance benchmarks#

This example benchmarks the reduction performance for the different algorithms available in Shamrock

 9 import random
10 import time
11
12 import matplotlib.colors as colors
13 import matplotlib.pyplot as plt
14 import numpy as np
15
16 import shamrock
17
18 # If we use the shamrock executable to run this script instead of the python interpreter,
19 # we should not initialize the system as the shamrock executable needs to handle specific MPI logic
20 if not shamrock.sys.is_initialized():
21     shamrock.change_loglevel(1)
22     shamrock.sys.init("0:0")

Main benchmark functions

28 def benchmark_f32(N, nb_repeat=10):
29     times = []
30     for i in range(nb_repeat):
31         buf = shamrock.backends.DeviceBuffer_f32()
32         buf.resize(N)
33         buf.fill(0)
34         times.append(shamrock.algs.benchmark_reduction_sum(buf, N))
35     return min(times), max(times), sum(times) / nb_repeat
36
37
38 def benchmark_f64(N, nb_repeat=10):
39     times = []
40     for i in range(nb_repeat):
41         buf = shamrock.backends.DeviceBuffer_f64()
42         buf.resize(N)
43         buf.fill(0)
44         times.append(shamrock.algs.benchmark_reduction_sum(buf, N))
45     return min(times), max(times), sum(times) / nb_repeat

Run the performance test for all parameters

50 def run_performance_sweep():
51
52     # Define parameter ranges
53     # logspace as array
54     particle_counts = np.logspace(2, 7, 20).astype(int).tolist()
55
56     # Initialize results matrix
57     results_f32 = []
58     results_f64 = []
59
60     print(f"Particle counts: {particle_counts}")
61
62     total_runs = len(particle_counts)
63     current_run = 0
64
65     for i, N in enumerate(particle_counts):
66         current_run += 1
67
68         print(
69             f"[{current_run:2d}/{total_runs}] Running N={N:5d}...",
70             end=" ",
71         )
72
73         start_time = time.time()
74         min_time, max_time, mean_time = benchmark_f32(N)
75         results_f32.append(min_time)
76         min_time, max_time, mean_time = benchmark_f64(N)
77         results_f64.append(min_time)
78         elapsed = time.time() - start_time
79
80         print(f"mean={mean_time:.3f}s (took {elapsed:.1f}s)")
81
82     return particle_counts, results_f32, results_f64

List current implementation

impl_param(impl_name="group_reduction128", params="")

List all implementations available

[impl_param(impl_name="fallback", params=""), impl_param(impl_name="group_reduction16", params=""), impl_param(impl_name="group_reduction128", params=""), impl_param(impl_name="group_reduction256", params="")]

Run the performance benchmarks for all implementations

100 for impl in all_default_impls:
101     shamrock.algs.set_impl_reduction(impl.impl_name, impl.params)
102
103     print(f"Running reduction performance benchmarks for {impl}...")
104
105     # Run the performance sweep
106     particle_counts, results_f32, results_f64 = run_performance_sweep()
107
108     (line,) = plt.plot(particle_counts, results_f64, "--.", label=impl.impl_name + " (f64)")
109     plt.plot(
110         particle_counts, results_f32, ":", color=line.get_color(), label=impl.impl_name + " (f32)"
111     )
112
113
114 Nobj = np.array(particle_counts)
115 Time100M = Nobj / 1e8
116 plt.plot(particle_counts, Time100M, color="grey", linestyle="-", alpha=0.7, label="100M obj/sec")
117
118
119 plt.xlabel("Number of elements")
120 plt.ylabel("Time (s)")
121 plt.title("reduction performance benchmarks")
122
123 plt.xscale("log")
124 plt.yscale("log")
125
126 plt.grid(True)
127
128 plt.legend()
129 plt.show()
reduction performance benchmarks
Info: setting reduction implementation to impl : fallback                            [tree][rank=0]
Running reduction performance benchmarks for impl_param(impl_name="fallback", params="")...
Particle counts: [100, 183, 335, 615, 1128, 2069, 3792, 6951, 12742, 23357, 42813, 78475, 143844, 263665, 483293, 885866, 1623776, 2976351, 5455594, 10000000]
[ 1/20] Running N=  100... mean=0.000s (took 0.0s)
[ 2/20] Running N=  183... mean=0.000s (took 0.0s)
[ 3/20] Running N=  335... mean=0.000s (took 0.0s)
[ 4/20] Running N=  615... mean=0.000s (took 0.0s)
[ 5/20] Running N= 1128... mean=0.000s (took 0.0s)
[ 6/20] Running N= 2069... mean=0.000s (took 0.0s)
[ 7/20] Running N= 3792... mean=0.000s (took 0.0s)
[ 8/20] Running N= 6951... mean=0.000s (took 0.0s)
[ 9/20] Running N=12742... mean=0.000s (took 0.0s)
[10/20] Running N=23357... mean=0.000s (took 0.0s)
[11/20] Running N=42813... mean=0.000s (took 0.0s)
[12/20] Running N=78475... mean=0.000s (took 0.0s)
[13/20] Running N=143844... mean=0.000s (took 0.0s)
[14/20] Running N=263665... mean=0.001s (took 0.0s)
[15/20] Running N=483293... mean=0.001s (took 0.0s)
[16/20] Running N=885866... mean=0.003s (took 0.0s)
[17/20] Running N=1623776... mean=0.005s (took 0.1s)
[18/20] Running N=2976351... mean=0.009s (took 0.2s)
[19/20] Running N=5455594... mean=0.009s (took 0.3s)
[20/20] Running N=10000000... mean=0.025s (took 0.5s)
Info: setting reduction implementation to impl : group_reduction16                   [tree][rank=0]
Running reduction performance benchmarks for impl_param(impl_name="group_reduction16", params="")...
Particle counts: [100, 183, 335, 615, 1128, 2069, 3792, 6951, 12742, 23357, 42813, 78475, 143844, 263665, 483293, 885866, 1623776, 2976351, 5455594, 10000000]
[ 1/20] Running N=  100... mean=0.000s (took 0.0s)
[ 2/20] Running N=  183... mean=0.000s (took 0.0s)
[ 3/20] Running N=  335... mean=0.000s (took 0.0s)
[ 4/20] Running N=  615... mean=0.000s (took 0.0s)
[ 5/20] Running N= 1128... mean=0.000s (took 0.0s)
[ 6/20] Running N= 2069... mean=0.000s (took 0.0s)
[ 7/20] Running N= 3792... mean=0.000s (took 0.0s)
[ 8/20] Running N= 6951... mean=0.000s (took 0.0s)
[ 9/20] Running N=12742... mean=0.000s (took 0.0s)
[10/20] Running N=23357... mean=0.000s (took 0.0s)
[11/20] Running N=42813... mean=0.000s (took 0.0s)
[12/20] Running N=78475... mean=0.000s (took 0.0s)
[13/20] Running N=143844... mean=0.000s (took 0.0s)
[14/20] Running N=263665... mean=0.000s (took 0.0s)
[15/20] Running N=483293... mean=0.001s (took 0.0s)
[16/20] Running N=885866... mean=0.001s (took 0.0s)
[17/20] Running N=1623776... mean=0.002s (took 0.1s)
[18/20] Running N=2976351... mean=0.004s (took 0.1s)
[19/20] Running N=5455594... mean=0.008s (took 0.2s)
[20/20] Running N=10000000... mean=0.021s (took 0.5s)
Info: setting reduction implementation to impl : group_reduction128                  [tree][rank=0]
Running reduction performance benchmarks for impl_param(impl_name="group_reduction128", params="")...
Particle counts: [100, 183, 335, 615, 1128, 2069, 3792, 6951, 12742, 23357, 42813, 78475, 143844, 263665, 483293, 885866, 1623776, 2976351, 5455594, 10000000]
[ 1/20] Running N=  100... mean=0.000s (took 0.0s)
[ 2/20] Running N=  183... mean=0.000s (took 0.0s)
[ 3/20] Running N=  335... mean=0.000s (took 0.0s)
[ 4/20] Running N=  615... mean=0.000s (took 0.0s)
[ 5/20] Running N= 1128... mean=0.000s (took 0.0s)
[ 6/20] Running N= 2069... mean=0.000s (took 0.0s)
[ 7/20] Running N= 3792... mean=0.000s (took 0.0s)
[ 8/20] Running N= 6951... mean=0.000s (took 0.0s)
[ 9/20] Running N=12742... mean=0.000s (took 0.0s)
[10/20] Running N=23357... mean=0.000s (took 0.0s)
[11/20] Running N=42813... mean=0.000s (took 0.0s)
[12/20] Running N=78475... mean=0.000s (took 0.0s)
[13/20] Running N=143844... mean=0.000s (took 0.0s)
[14/20] Running N=263665... mean=0.000s (took 0.0s)
[15/20] Running N=483293... mean=0.000s (took 0.0s)
[16/20] Running N=885866... mean=0.001s (took 0.0s)
[17/20] Running N=1623776... mean=0.002s (took 0.0s)
[18/20] Running N=2976351... mean=0.003s (took 0.1s)
[19/20] Running N=5455594... mean=0.006s (took 0.2s)
[20/20] Running N=10000000... mean=0.018s (took 0.4s)
Info: setting reduction implementation to impl : group_reduction256                  [tree][rank=0]
Running reduction performance benchmarks for impl_param(impl_name="group_reduction256", params="")...
Particle counts: [100, 183, 335, 615, 1128, 2069, 3792, 6951, 12742, 23357, 42813, 78475, 143844, 263665, 483293, 885866, 1623776, 2976351, 5455594, 10000000]
[ 1/20] Running N=  100... mean=0.000s (took 0.0s)
[ 2/20] Running N=  183... mean=0.000s (took 0.0s)
[ 3/20] Running N=  335... mean=0.000s (took 0.0s)
[ 4/20] Running N=  615... mean=0.000s (took 0.0s)
[ 5/20] Running N= 1128... mean=0.000s (took 0.0s)
[ 6/20] Running N= 2069... mean=0.000s (took 0.0s)
[ 7/20] Running N= 3792... mean=0.000s (took 0.0s)
[ 8/20] Running N= 6951... mean=0.000s (took 0.0s)
[ 9/20] Running N=12742... mean=0.000s (took 0.0s)
[10/20] Running N=23357... mean=0.000s (took 0.0s)
[11/20] Running N=42813... mean=0.000s (took 0.0s)
[12/20] Running N=78475... mean=0.000s (took 0.0s)
[13/20] Running N=143844... mean=0.000s (took 0.0s)
[14/20] Running N=263665... mean=0.000s (took 0.0s)
[15/20] Running N=483293... mean=0.001s (took 0.0s)
[16/20] Running N=885866... mean=0.001s (took 0.0s)
[17/20] Running N=1623776... mean=0.002s (took 0.0s)
[18/20] Running N=2976351... mean=0.003s (took 0.1s)
[19/20] Running N=5455594... mean=0.006s (took 0.2s)
[20/20] Running N=10000000... mean=0.018s (took 0.4s)

Total running time of the script: (0 minutes 4.791 seconds)

Estimated memory usage: 267 MB

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