36 lines
No EOL
1.3 KiB
Python
36 lines
No EOL
1.3 KiB
Python
import matplotlib.pyplot as plt
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import numpy as np
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# Data
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categories = ['Negligible Local Waveguide Delay', 'With Local Waveguide Delay']
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no_input_reuse_time = [3452965, 6839776]
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no_input_reuse_throughput = [740960/3452965, 740960/6839776]
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input_reuse_time = [1814173, 3380300]
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input_reuse_throughput = [558872/1814173, 558872/3380300]
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x = np.arange(len(categories)) # the label locations
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fig, axes = plt.subplots(2, 2, figsize=(12, 10))
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# Graph 1: No Input Reuse - Time
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axes[0, 0].bar(categories, no_input_reuse_time, color='blue')
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axes[0, 0].set_title("No Input Reuse - Time")
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axes[0, 0].set_ylabel("Time (ns)")
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# Graph 2: No Input Reuse - Throughput
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axes[0, 1].bar(categories, [val * 1e6 for val in no_input_reuse_throughput], color='lightblue')
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axes[0, 1].set_title("No Input Reuse - Throughput")
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axes[0, 1].set_ylabel("Throughput (scaled *10^6)")
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# Graph 3: Input Reuse - Time
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axes[1, 0].bar(categories, input_reuse_time, color='green')
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axes[1, 0].set_title("Input Reuse - Time")
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axes[1, 0].set_ylabel("Time (ns)")
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# Graph 4: Input Reuse - Throughput
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axes[1, 1].bar(categories, [val * 1e6 for val in input_reuse_throughput], color='lightgreen')
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axes[1, 1].set_title("Input Reuse - Throughput")
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axes[1, 1].set_ylabel("Throughput (scaled *10^6)")
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plt.tight_layout()
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plt.show() |