adds new branch for some benchmark scripts
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6d33f6b29d
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13fdeb7c36
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import argparse
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import os
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import shutil
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import subprocess
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import time
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from pathlib import Path
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def run_command(command, cwd=None):
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"""Run a shell command in the specified directory and return its output."""
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result = subprocess.run(
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command,
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shell=True,
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cwd=cwd,
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stdout=subprocess.PIPE,
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stderr=subprocess.PIPE,
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check=False,
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)
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return result.stdout.decode("utf-8"), result.stderr.decode("utf-8")
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def build_test_cases(makefile_dir, iterations):
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"""Run the Makefile with the specified iterations."""
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make_command = f"make clean && make ITERATIONS={iterations}"
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stdout, stderr = run_command(make_command, cwd=makefile_dir)
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if stderr:
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raise RuntimeError(f"Error during make: {stderr}")
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def main(simulator_path, makefile_dir):
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# Directory for generated test cases
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generated_dir = makefile_dir.parent / "workspace"
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os.makedirs(generated_dir, exist_ok=True)
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# Define the iterations
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iterations_list = [10, 20, 30]
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# 15 value up to 6.000.000 evenly apart on a log scale
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iterations_list = [
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1,
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2,
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4,
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8,
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17,
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34,
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69,
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141,
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287,
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582,
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1182,
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2401,
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4878,
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9910,
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20133,
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40914,
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83103,
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168830,
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343042,
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696712,
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1414641,
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2874878,
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5837995,
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]
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for iteration in iterations_list:
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try:
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# Update the Makefile with the current ITERATIONS value
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build_test_cases(makefile_dir, iteration)
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except RuntimeError as e:
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print(f"Error during compilation with ITERATIONS={iteration}: {e}")
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continue
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# Run the simulator with the generated test case
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exe = makefile_dir / "dhrystone.elf"
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if not exe.is_file():
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exit(f"{exe} does not exist")
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verbose_exe = generated_dir / "bin" / f"dhrystone_{iteration}.elf"
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os.makedirs(verbose_exe.parent, exist_ok=True)
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shutil.copy(exe, verbose_exe)
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backends = ["interp", "llvm", "tcc", "asmjit"]
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for backend in backends:
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log_file = os.path.join(generated_dir, f"{backend}_{iteration}.log")
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sim_command = f"{simulator_path} -f {exe} --backend {backend}"
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start_time = time.time()
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sim_stdout, sim_stderr = run_command(sim_command)
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end_time = time.time()
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elapsed_time = end_time - start_time
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# Save the output to the logfile
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with open(log_file, "w", encoding="utf8") as f:
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f.write(sim_stdout)
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if sim_stderr:
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f.write(f"\nErrors:\n{sim_stderr}")
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print(
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f"Ran {backend} in {elapsed_time:.2f} s, Output saved to {backend}_{iteration}.log"
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)
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(
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description="Run simulations with generated test cases."
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)
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parser.add_argument("simulator_path", help="Path to the simulator executable.")
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args = parser.parse_args()
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dhrystone_path = Path(__file__).parent / "dhrystone"
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main(args.simulator_path, dhrystone_path)
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@ -0,0 +1,86 @@
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import argparse
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import os
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import re
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from pathlib import Path
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import plotly.express as px
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import yaml
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def parse_logs(log_dir):
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results = []
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for filename in os.listdir(log_dir):
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if filename.endswith(".log"):
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filepath = os.path.join(log_dir, filename)
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with open(filepath, "r", encoding="utf8") as file:
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for line in file:
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if (
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"Executed" in line
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and "instructions" in line
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and "during" in line
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and "resulting in" in line
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):
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parts = line.split()
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instructions = int(parts[3])
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time_idx = parts.index("during") + 1
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time = int(parts[time_idx].rstrip("ms"))
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mips_idx = parts.index("resulting") + 2
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mips = float(parts[mips_idx].rstrip("MIPS"))
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backend, iterations, _ = re.split(r"[_.]", filename)
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results.append(
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{
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"backend": backend,
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"run_count": int(iterations),
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"instructions": instructions,
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"time": time,
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"mips": mips,
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}
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)
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return results
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def write_yaml(results, output_file):
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with open(output_file, "w", encoding="utf8") as file:
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yaml.dump(results, file)
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def visualize_mips_over_instructions(yaml_file):
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# Read data from YAML file
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with open(yaml_file, "r", encoding="utf8") as file:
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data = yaml.safe_load(file)
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# Extract instructions and MIPS values
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run_count = [entry["run_count"] for entry in data]
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mips = [entry["mips"] for entry in data]
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backends = [entry["backend"] for entry in data]
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# Create scatter plot using Plotly Express
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fig = px.line(
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x=run_count,
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y=mips,
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color=backends,
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labels={"x": "Dhrystone Iterations", "y": "MIPS", "color": "Backend"},
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title="MIPS over Amount of Dhrystone Iterations",
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log_x=True,
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)
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fig.show()
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def main():
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parser = argparse.ArgumentParser(
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description="""
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Parse log files and extract relevant information. Create a 'results.yaml' file and visualize it.
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Intended to be run after 'dhrystone_run_multiple.py'"""
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)
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parser.add_argument("log_dir", help="Path to the directory containing log files.")
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args = parser.parse_args()
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result_file = Path(__file__).parent / "results.yaml"
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if not result_file.is_file():
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results = parse_logs(args.log_dir)
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write_yaml(results, result_file)
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visualize_mips_over_instructions(result_file)
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if __name__ == "__main__":
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main()
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