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re-evaluate peak perf benchs

master
Constantin Fürst 11 months ago
parent
commit
d06f0d0c6c
  1. BIN
      benchmarks/benchmark-plots/plot-perf-allnodes-throughput-selectbarplot.pdf
  2. BIN
      benchmarks/benchmark-plots/plot-perf-allnodes-throughput-selectbarplot.png
  3. BIN
      benchmarks/benchmark-plots/plot-perf-smart-throughput-selectbarplot.pdf
  4. BIN
      benchmarks/benchmark-plots/plot-perf-smart-throughput-selectbarplot.png
  5. 6
      benchmarks/benchmark-plotters/plot-perf-peakthroughput-bar.py

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benchmarks/benchmark-plots/plot-perf-allnodes-throughput-selectbarplot.pdf

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benchmarks/benchmark-plots/plot-perf-allnodes-throughput-selectbarplot.png

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benchmarks/benchmark-plots/plot-perf-smart-throughput-selectbarplot.pdf

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benchmarks/benchmark-plots/plot-perf-smart-throughput-selectbarplot.png

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Width: 695  |  Height: 530  |  Size: 13 KiB

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Width: 695  |  Height: 530  |  Size: 13 KiB

6
benchmarks/benchmark-plotters/plot-perf-peakthroughput-bar.py

@ -63,7 +63,7 @@ def load_time_mesurements(file_path):
def process_file_to_dataset(file_path, src_node, dst_node):
try:
file_data = load_time_mesurements(file_path)
time = [file_data["total"]]
time = file_data["combined"]
run_idx = 0
for t in time:
data.append({ runid : run_idx, x_label : dst_node, y_label : calc_throughput(file_data["size"], t)})
@ -75,11 +75,11 @@ def process_file_to_dataset(file_path, src_node, dst_node):
def plot_bar(table,title,node_config):
plt.figure(figsize=(8, 6))
sns.barplot(x=x_label, y=y_label, data=table, palette="rocket", errorbar=None)
sns.barplot(x=x_label, y=y_label, data=table, palette="rocket")
plt.ylim(0, 100)
plt.savefig(os.path.join(output_path, f"plot-perf-{node_config}-throughput-selectbarplot.pdf"), bbox_inches='tight')
plt.savefig(os.path.join(output_path, f"plot-perf-{node_config}-throughput-selectbarplot.png"), bbox_inches='tight')
plt.show()

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