From bd23ae138ec7cc861cb1d3c876e66662292a925a Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Constantin=20F=C3=BCrst?= Date: Thu, 8 Feb 2024 17:45:28 +0100 Subject: [PATCH] finalize plotter script and add timing results --- qdp_project/plots/plot-timing-cacheaccess.pdf | Bin 0 -> 16740 bytes .../plots/plot-timing-distprefetch.pdf | Bin 0 -> 13761 bytes qdp_project/plots/plot-timing-dram.pdf | Bin 0 -> 12334 bytes qdp_project/plots/plot-timing-hbm.pdf | Bin 0 -> 13080 bytes qdp_project/plots/plot-timing-prefetch.pdf | Bin 0 -> 14097 bytes qdp_project/plotter.py | 40 +++++++++--------- 6 files changed, 20 insertions(+), 20 deletions(-) create mode 100644 qdp_project/plots/plot-timing-cacheaccess.pdf create mode 100644 qdp_project/plots/plot-timing-distprefetch.pdf create mode 100644 qdp_project/plots/plot-timing-dram.pdf create mode 100644 qdp_project/plots/plot-timing-hbm.pdf create mode 100644 qdp_project/plots/plot-timing-prefetch.pdf diff --git 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z@7LX`7974IbF#!&XgZ?a_BCP8Gs0Y6nimU;>0CnP*LeU3M zCw>-+u59Q8s1LsukS@wKFbAj`KMTk?7LEbd5TF&*0V)Nj0IUh97l60v z0wP|Y#tlk&p8`z1;YomHqs-$DdL2s31JLjFmM0Wolmhbto~8AcH()xz76fnrfGwch z1w9b3Je2l^V?u4PM{!=1Lm>bq5ej5gQF@V}fH9@avhJP$KerACJQjKb=Y|K|z)J?q z+j^gMF9)2RQ$~P}4^SD(T>hXx1flUv>DmlK!T*>~9s~Hc&Hd!TM|abF z3i5yOrU1Oi-P}(B`KRtGV6lJpQ}|OSaY%5N@;hE2I{p)e2KE7)`{BTZ_20$7ZfQJ4jj7-G4dlHD0PuI-cgMfVru%|Hf@c|7P#d7O=yZ8Vh1?2*;Y$P(CNT!$$ Q1QLgnhlq=7AJl>T52*+8r2qf` literal 0 HcmV?d00001 diff --git a/qdp_project/plotter.py b/qdp_project/plotter.py index 84afcd6..fcf7e85 100644 --- a/qdp_project/plotter.py +++ b/qdp_project/plotter.py @@ -5,8 +5,10 @@ import seaborn as sns import matplotlib.pyplot as plt output_path = "./plots" -prefetch_result = "./evaluation-results/qdp-xeonmax-prefetch-tca2-tcb1-tcj1-tmul8-wl4294967296-cs16777216.csv" -dram_result = "./evaluation-results/qdp-xeonmax-dram-tca2-tcb0-tcj1-tmul8-wl4294967296-cs2097152.csv" +hbm_result = "./evaluation-results/baseline/current-hbm/qdp-xeonmax-hbm-tca2-tcb0-tcj1-tmul16-wl4294967296-cs2097152.csv" +dram_result = "./evaluation-results/baseline/current-dram/qdp-xeonmax-dram-tca2-tcb0-tcj1-tmul16-wl4294967296-cs2097152.csv" +prefetch_result = "./evaluation-results/outofcacheallocation/qdp-xeonmax-prefetch-tca2-tcb1-tcj1-tmul16-wl4294967296-cs8388608.csv" +distprefetch_result = "./evaluation-results/distprefetch/qdp-xeonmax-distprefetch-tca1-tcb1-tcj1-tmul32-wl4294967296-cs8388608.csv" tt_name = "rt-ns" function_names = [ "scana-run", "scanb-run", "aggrj-run" ] @@ -14,30 +16,26 @@ fn_nice = [ "Scan A, Filter", "Scan B, Prefetch", "Aggregate, Project + Sum" ] def read_timings_from_csv(fname) -> tuple[list[float], list[str]]: t = {} - total_time = 0 - # Read data from CSV file + row_count = 0 + with open(fname, newline='') as csvfile: reader = csv.DictReader(csvfile, delimiter=';') for row in reader: - total_time += int(row[tt_name]) + row_count = row_count + 1 for i in range(len(function_names)): t[fn_nice[i]] = t.get(fn_nice[i], 0) + int(row[function_names[i]]) - t = {key: value * 100 / total_time for key, value in t.items() if value != 0} - - total = sum(list(t.values())) - if total < 100.0: - t["Waiting / Other"] = 100.0 - total + t = {key: value / (1000 * 1000 * row_count) for key, value in t.items() if value != 0} return list(t.values()), list(t.keys()) def get_data_prefetch_cache_access() -> tuple[list[float], list[str]]: - total = 0.3 - data = [ 0.07, 0.19, 0.04 ] + total = 0.47 + data = [ 0.01, 0.01, 0.04, 0.42 ] data = [ x * 100 / total for x in data ] - keys = ["numa_alloc_onnode", "dml::make_mem_move_task", "dml::hardware_device::submit"] + keys = ["Cache::GetCacheNode", "Cache::Access Itself", "dml::hardware_device::submit", "dml::make_mem_move_task (operator new)"] return data,keys @@ -45,13 +43,13 @@ def get_data_prefetch_total() -> tuple[list[float], list[str]]: return read_timings_from_csv(prefetch_result) def get_data_dram_total() -> tuple[list[float], list[str]]: - return read_timings_from_csv(dram_result) + return # loops over all possible configuration combinations and calls # process_file_to_dataset for them in order to build a dataframe # which is then displayed and saved -def main(data: tuple[list[float], list[str]], fname): - palette_color = sns.color_palette('mako') +def main(data: tuple[list[float], list[str]], fname, unit): + palette_color = sns.color_palette('mako_r') fig, ax = plt.subplots(figsize=(6, 3), subplot_kw=dict(aspect="equal")) wedges, texts = ax.pie(data[0], wedgeprops=dict(width=0.5), startangle=-40, colors=palette_color) @@ -66,12 +64,14 @@ def main(data: tuple[list[float], list[str]], fname): horizontalalignment = {-1: "right", 1: "left"}[int(np.sign(x))] connectionstyle = f"angle,angleA=0,angleB={ang}" kw["arrowprops"].update({"connectionstyle": connectionstyle}) - 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) + 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) fig.savefig(os.path.join(output_path, fname), bbox_inches='tight') if __name__ == "__main__": - main(get_data_prefetch_cache_access(), "plot-timing-prefetch-cacheaccess.pdf") - main(get_data_prefetch_total(), "plot-timing-prefetch-totalexec.pdf") - main(get_data_dram_total(), "plot-timing-dram-totalexec.pdf") + main(get_data_prefetch_cache_access(), "plot-timing-cacheaccess.pdf", "%") + main(read_timings_from_csv(prefetch_result), "plot-timing-prefetch.pdf", "ms") + main(read_timings_from_csv(distprefetch_result), "plot-timing-distprefetch.pdf", "ms") + main(read_timings_from_csv(dram_result), "plot-timing-dram.pdf", "ms") + main(read_timings_from_csv(hbm_result), "plot-timing-hbm.pdf", "ms")