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@ -5,8 +5,10 @@ import seaborn as sns |
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import matplotlib.pyplot as plt |
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output_path = "./plots" |
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prefetch_result = "./evaluation-results/qdp-xeonmax-prefetch-tca2-tcb1-tcj1-tmul8-wl4294967296-cs16777216.csv" |
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dram_result = "./evaluation-results/qdp-xeonmax-dram-tca2-tcb0-tcj1-tmul8-wl4294967296-cs2097152.csv" |
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hbm_result = "./evaluation-results/baseline/current-hbm/qdp-xeonmax-hbm-tca2-tcb0-tcj1-tmul16-wl4294967296-cs2097152.csv" |
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dram_result = "./evaluation-results/baseline/current-dram/qdp-xeonmax-dram-tca2-tcb0-tcj1-tmul16-wl4294967296-cs2097152.csv" |
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prefetch_result = "./evaluation-results/outofcacheallocation/qdp-xeonmax-prefetch-tca2-tcb1-tcj1-tmul16-wl4294967296-cs8388608.csv" |
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distprefetch_result = "./evaluation-results/distprefetch/qdp-xeonmax-distprefetch-tca1-tcb1-tcj1-tmul32-wl4294967296-cs8388608.csv" |
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tt_name = "rt-ns" |
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function_names = [ "scana-run", "scanb-run", "aggrj-run" ] |
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@ -14,30 +16,26 @@ fn_nice = [ "Scan A, Filter", "Scan B, Prefetch", "Aggregate, Project + Sum" ] |
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def read_timings_from_csv(fname) -> tuple[list[float], list[str]]: |
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t = {} |
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total_time = 0 |
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# Read data from CSV file |
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row_count = 0 |
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with open(fname, newline='') as csvfile: |
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reader = csv.DictReader(csvfile, delimiter=';') |
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for row in reader: |
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total_time += int(row[tt_name]) |
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row_count = row_count + 1 |
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for i in range(len(function_names)): |
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t[fn_nice[i]] = t.get(fn_nice[i], 0) + int(row[function_names[i]]) |
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t = {key: value * 100 / total_time for key, value in t.items() if value != 0} |
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total = sum(list(t.values())) |
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if total < 100.0: |
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t["Waiting / Other"] = 100.0 - total |
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t = {key: value / (1000 * 1000 * row_count) for key, value in t.items() if value != 0} |
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return list(t.values()), list(t.keys()) |
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def get_data_prefetch_cache_access() -> tuple[list[float], list[str]]: |
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total = 0.3 |
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data = [ 0.07, 0.19, 0.04 ] |
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total = 0.47 |
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data = [ 0.01, 0.01, 0.04, 0.42 ] |
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data = [ x * 100 / total for x in data ] |
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keys = ["numa_alloc_onnode", "dml::make_mem_move_task", "dml::hardware_device::submit"] |
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keys = ["Cache::GetCacheNode", "Cache::Access Itself", "dml::hardware_device::submit", "dml::make_mem_move_task (operator new)"] |
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return data,keys |
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@ -45,13 +43,13 @@ def get_data_prefetch_total() -> tuple[list[float], list[str]]: |
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return read_timings_from_csv(prefetch_result) |
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def get_data_dram_total() -> tuple[list[float], list[str]]: |
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return read_timings_from_csv(dram_result) |
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return |
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# loops over all possible configuration combinations and calls |
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# process_file_to_dataset for them in order to build a dataframe |
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# which is then displayed and saved |
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def main(data: tuple[list[float], list[str]], fname): |
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palette_color = sns.color_palette('mako') |
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def main(data: tuple[list[float], list[str]], fname, unit): |
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palette_color = sns.color_palette('mako_r') |
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fig, ax = plt.subplots(figsize=(6, 3), subplot_kw=dict(aspect="equal")) |
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wedges, texts = ax.pie(data[0], wedgeprops=dict(width=0.5), startangle=-40, colors=palette_color) |
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@ -66,12 +64,14 @@ def main(data: tuple[list[float], list[str]], fname): |
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horizontalalignment = {-1: "right", 1: "left"}[int(np.sign(x))] |
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connectionstyle = f"angle,angleA=0,angleB={ang}" |
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kw["arrowprops"].update({"connectionstyle": connectionstyle}) |
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ax.annotate(f"{data[1][i]} - {data[0][i]:2.1f}%", xy=(x, y), xytext=(1.35*np.sign(x), 1.4*y), horizontalalignment=horizontalalignment, **kw) |
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ax.annotate(f"{data[1][i]} - {data[0][i]:2.2f} {unit}", xy=(x, y), xytext=(1.35*np.sign(x), 1.4*y), horizontalalignment=horizontalalignment, **kw) |
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fig.savefig(os.path.join(output_path, fname), bbox_inches='tight') |
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if __name__ == "__main__": |
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main(get_data_prefetch_cache_access(), "plot-timing-prefetch-cacheaccess.pdf") |
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main(get_data_prefetch_total(), "plot-timing-prefetch-totalexec.pdf") |
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main(get_data_dram_total(), "plot-timing-dram-totalexec.pdf") |
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main(get_data_prefetch_cache_access(), "plot-timing-cacheaccess.pdf", "%") |
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main(read_timings_from_csv(prefetch_result), "plot-timing-prefetch.pdf", "ms") |
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main(read_timings_from_csv(distprefetch_result), "plot-timing-distprefetch.pdf", "ms") |
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main(read_timings_from_csv(dram_result), "plot-timing-dram.pdf", "ms") |
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main(read_timings_from_csv(hbm_result), "plot-timing-hbm.pdf", "ms") |