l3-ENSL/dendrobates-t-azureus
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minor changes

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augustin64 2024-06-07 09:49:33 +02:00
parent 1a44f86e9c
commit 6c58640378
2 changed files with 15 additions and 12 deletions
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18
cache_utils/analyse_csv.py
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@ -177,7 +177,6 @@ def show_grid(df, col, row, shown=["clflush_miss_n", "clflush_remote_hit", "clfl
# Red = Remote Hit
# Green = Local Hit
# Yellow = Shared Hit
df.loc[:, (row,)] = df[row].apply(dict_to_json)
g = sns.FacetGrid(df, col=col, row=row, legend_out=True)
g.map(custom_hist, "time", *shown)
@ -202,14 +201,19 @@ def export_stats_csv():
stats.to_csv(sys.argv[1] + ".stats.csv", index=False)
custom_hist(df["time"], df["clflush_miss_n"], df["clflush_remote_hit"], title="miss v. hit")
plt.show()
df.loc[:, ("hash",)] = df["hash"].apply(dict_to_json)
show_specific_position(0, 2, 0)
if "NO_PLOT" not in os.environ:
custom_hist(df["time"], df["clflush_miss_n"], df["clflush_remote_hit"], title="miss v. hit")
plt.show()
df_main_core_0 = df[df["main_core"] == 0]
show_grid(df_main_core_0, "helper_core", "hash")
show_grid(df, "main_core", "hash")
show_specific_position(0, 2, 0)
df_main_core_0 = df[df["main_core"] == 0]
df_main_core_0.loc[:, ("hash",)] = df["hash"].apply(dict_to_json)
show_grid(df_main_core_0, "helper_core", "hash")
show_grid(df, "main_core", "hash")
if not os.path.exists(sys.argv[1] + ".stats.csv"):

9
cache_utils/analyse_medians.py
View File

@ -56,10 +56,10 @@ stats = pd.read_csv(sys.argv[1] + ".stats.csv",
slice_mapping = pd.read_csv(sys.argv[1] + ".slices.csv")
core_mapping = pd.read_csv(sys.argv[1] + ".cores.csv")
print(core_mapping.to_string())
print(slice_mapping.to_string())
print("core mapping:\n", core_mapping.to_string())
print("slice mapping:\n", slice_mapping.to_string())
print("core {} is mapped to '{}'".format(4, repr(core_mapping.iloc[4])))
#print("core {} is mapped to '{}'".format(4, repr(core_mapping.iloc[4])))
min_time_miss = stats["clflush_miss_n"].min()
max_time_miss = stats["clflush_miss_n"].max()
@ -91,8 +91,7 @@ print("Graphing from {} to {}".format(graph_lower_miss, graph_upper_miss))
g_ = sns.FacetGrid(stats, col="main_core_fixed", row="slice_group")
g_.map(sns.distplot, 'clflush_miss_n', bins=range(graph_lower_miss, graph_upper_miss), color="b")
#g.map(sns.scatterplot, 'slice_group', 'clflush_local_hit_n', color="g")
g_.map(sns.histplot, 'clflush_miss_n', bins=range(graph_lower_miss, graph_upper_miss), color="b", edgecolor="b", alpha=0.2)
plt.show()