Variables
str	folder_input = "/home/cristianbarrahinojosa/Overleaf/paper-llvm2022/experiments/18_sph_simulation/hamilton8/Noh_2D/output_np_400_et_0.01/likwid/"

list	datatype_inputs = ["MEM", "CACHE"]

str	filename_template = "output_" + datatype_input + "_cores__.cvs"

str	filename_template_regex = "output_" + datatype_input + "_cores_(.)_(.)"

list	cores_array = [1, 2, 4, 8, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64]

dict	data_template_SUM

dict	data_template_AVG

	data_SUM_on = pd.DataFrame(data_template_SUM)

	data_SUM_off = pd.DataFrame(data_template_SUM)

	data_AVG_on = pd.DataFrame(data_template_AVG)

	data_AVG_off = pd.DataFrame(data_template_AVG)

	N_metrics = len(data_SUM_on)

	offset_row = -N_metrics

	path = glob.glob(folder_input + filename_template)

	absfilename = file

	tempname = os.path.basename(absfilename)

	filename = os.path.splitext(tempname)[0]

	pf = re.compile(filename_template_regex)

	match = pf.search(filename)

	cores = match.group(1)

	clang = match.group(2)

	df_input = pd.read_csv(file, index_col=0, header=0, on_bad_lines="skip")

	SUM = df_input["Info"].iloc[offset_row:]

	AVG = df_input["Unnamed: 4"].iloc[offset_row:]

	SUM_on = np.zeros((N_metrics, len(cores_array)))

	AVG_on = np.zeros((N_metrics, len(cores_array)))

	SUM_off = np.zeros((N_metrics, len(cores_array)))

	AVG_off = np.zeros((N_metrics, len(cores_array)))

int	N_dt = 1e2

int	runtime_on = AVG_on[0] / N_dt

int	runtime_off = AVG_off[0] / N_dt

	clock_speed_on = AVG_on[2]

	clock_speed_off = AVG_off[2]

int	cache_req_on = AVG_on[1] / 1e12

int	cache_req_off = AVG_off[1] / 1e12

	cache_miss_ratio_on = AVG_on[5]

	cache_miss_ratio_off = AVG_off[5]

dict	font = {"size": 12}

	family

	usetex

	fig = plt.figure(figsize=(14, 4))

	gs = gridspec.GridSpec(1, 3, wspace=0.2)

	ax0 = plt.subplot(gs[0])

	marker

	edgecolors

	facecolors

	s

	zorder

	label

	c

	lw

	base

	direction

	top

	True

	right

	leg = plt.legend(loc="upper right", fontsize=10)

	ax1 = plt.subplot(gs[1])

	ax2 = plt.subplot(gs[2])

	bbox_inches

Variable Documentation

◆ absfilename

plots_llvm_paper_likwid_1x3_backup.absfilename = file

Definition at line 90 of file plots_llvm_paper_likwid_1x3_backup.py.

◆ AVG

plots_llvm_paper_likwid_1x3_backup.AVG = df_input["Unnamed: 4"].iloc[offset_row:]

Definition at line 109 of file plots_llvm_paper_likwid_1x3_backup.py.

◆ AVG_off

plots_llvm_paper_likwid_1x3_backup.AVG_off = np.zeros((N_metrics, len(cores_array)))

Definition at line 125 of file plots_llvm_paper_likwid_1x3_backup.py.

◆ AVG_on

plots_llvm_paper_likwid_1x3_backup.AVG_on = np.zeros((N_metrics, len(cores_array)))

Definition at line 122 of file plots_llvm_paper_likwid_1x3_backup.py.

◆ ax0

plots_llvm_paper_likwid_1x3_backup.ax0 = plt.subplot(gs[0])

Definition at line 163 of file plots_llvm_paper_likwid_1x3_backup.py.

◆ ax1

plots_llvm_paper_likwid_1x3_backup.ax1 = plt.subplot(gs[1])

Definition at line 195 of file plots_llvm_paper_likwid_1x3_backup.py.

◆ ax2

plots_llvm_paper_likwid_1x3_backup.ax2 = plt.subplot(gs[2])

Definition at line 222 of file plots_llvm_paper_likwid_1x3_backup.py.

◆ base

plots_llvm_paper_likwid_1x3_backup.base

Definition at line 182 of file plots_llvm_paper_likwid_1x3_backup.py.

◆ bbox_inches

plots_llvm_paper_likwid_1x3_backup.bbox_inches

Definition at line 253 of file plots_llvm_paper_likwid_1x3_backup.py.

◆ c

plots_llvm_paper_likwid_1x3_backup.c

Definition at line 176 of file plots_llvm_paper_likwid_1x3_backup.py.

◆ cache_miss_ratio_off

plots_llvm_paper_likwid_1x3_backup.cache_miss_ratio_off = AVG_off[5]

Definition at line 149 of file plots_llvm_paper_likwid_1x3_backup.py.

◆ cache_miss_ratio_on

plots_llvm_paper_likwid_1x3_backup.cache_miss_ratio_on = AVG_on[5]

Definition at line 148 of file plots_llvm_paper_likwid_1x3_backup.py.

◆ cache_req_off

plots_llvm_paper_likwid_1x3_backup.cache_req_off = AVG_off[1] / 1e12

Definition at line 146 of file plots_llvm_paper_likwid_1x3_backup.py.

◆ cache_req_on

plots_llvm_paper_likwid_1x3_backup.cache_req_on = AVG_on[1] / 1e12

Definition at line 145 of file plots_llvm_paper_likwid_1x3_backup.py.

◆ clang

plots_llvm_paper_likwid_1x3_backup.clang = match.group(2)

Definition at line 99 of file plots_llvm_paper_likwid_1x3_backup.py.

◆ clock_speed_off

plots_llvm_paper_likwid_1x3_backup.clock_speed_off = AVG_off[2]

Definition at line 142 of file plots_llvm_paper_likwid_1x3_backup.py.

◆ clock_speed_on

plots_llvm_paper_likwid_1x3_backup.clock_speed_on = AVG_on[2]

Definition at line 141 of file plots_llvm_paper_likwid_1x3_backup.py.

◆ cores

plots_llvm_paper_likwid_1x3_backup.cores = match.group(1)

Definition at line 98 of file plots_llvm_paper_likwid_1x3_backup.py.

◆ cores_array

plots_llvm_paper_likwid_1x3_backup.cores_array = [1, 2, 4, 8, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60, 64]

Definition at line 27 of file plots_llvm_paper_likwid_1x3_backup.py.

◆ data_AVG_off

plots_llvm_paper_likwid_1x3_backup.data_AVG_off = pd.DataFrame(data_template_AVG)

Definition at line 77 of file plots_llvm_paper_likwid_1x3_backup.py.

◆ data_AVG_on

plots_llvm_paper_likwid_1x3_backup.data_AVG_on = pd.DataFrame(data_template_AVG)

Definition at line 76 of file plots_llvm_paper_likwid_1x3_backup.py.

◆ data_SUM_off

plots_llvm_paper_likwid_1x3_backup.data_SUM_off = pd.DataFrame(data_template_SUM)

Definition at line 75 of file plots_llvm_paper_likwid_1x3_backup.py.

◆ data_SUM_on

plots_llvm_paper_likwid_1x3_backup.data_SUM_on = pd.DataFrame(data_template_SUM)

Definition at line 74 of file plots_llvm_paper_likwid_1x3_backup.py.

◆ data_template_AVG

dict plots_llvm_paper_likwid_1x3_backup.data_template_AVG

Initial value:

=  {
            "Metric AVG": [
                "Runtime (RDTSC) [s] STAT",
                "Runtime unhalted [s] STAT",
                "Clock [MHz] STAT",
                "CPI STAT",
                "Memory bandwidth [MBytes/s] STAT",
                "Memory data volume [GBytes] STAT",
            ],
        }

Definition at line 41 of file plots_llvm_paper_likwid_1x3_backup.py.

◆ data_template_SUM

dict plots_llvm_paper_likwid_1x3_backup.data_template_SUM

Initial value:

=  {
            "Metric SUM": [
                "Runtime (RDTSC) [s] STAT",
                "Runtime unhalted [s] STAT",
                "Clock [MHz] STAT",
                "CPI STAT",
                "Memory bandwidth [MBytes/s] STAT",
                "Memory data volume [GBytes] STAT",
            ],
        }

Definition at line 31 of file plots_llvm_paper_likwid_1x3_backup.py.

◆ datatype_inputs

list plots_llvm_paper_likwid_1x3_backup.datatype_inputs = ["MEM", "CACHE"]

Definition at line 21 of file plots_llvm_paper_likwid_1x3_backup.py.

◆ df_input

plots_llvm_paper_likwid_1x3_backup.df_input = pd.read_csv(file, index_col=0, header=0, on_bad_lines="skip")

Definition at line 102 of file plots_llvm_paper_likwid_1x3_backup.py.

◆ direction

plots_llvm_paper_likwid_1x3_backup.direction

Definition at line 185 of file plots_llvm_paper_likwid_1x3_backup.py.

◆ edgecolors

plots_llvm_paper_likwid_1x3_backup.edgecolors

Definition at line 170 of file plots_llvm_paper_likwid_1x3_backup.py.

◆ facecolors

plots_llvm_paper_likwid_1x3_backup.facecolors

Definition at line 171 of file plots_llvm_paper_likwid_1x3_backup.py.

◆ family

plots_llvm_paper_likwid_1x3_backup.family

Definition at line 157 of file plots_llvm_paper_likwid_1x3_backup.py.

◆ fig

plots_llvm_paper_likwid_1x3_backup.fig = plt.figure(figsize=(14, 4))

Definition at line 160 of file plots_llvm_paper_likwid_1x3_backup.py.

◆ filename

plots_llvm_paper_likwid_1x3_backup.filename = os.path.splitext(tempname)[0]

Definition at line 92 of file plots_llvm_paper_likwid_1x3_backup.py.

◆ filename_template

str plots_llvm_paper_likwid_1x3_backup.filename_template = "output_" + datatype_input + "_cores_*_*.cvs"

Definition at line 24 of file plots_llvm_paper_likwid_1x3_backup.py.

◆ filename_template_regex

str plots_llvm_paper_likwid_1x3_backup.filename_template_regex = "output_" + datatype_input + "_cores_(.*)_(.*)"

Definition at line 25 of file plots_llvm_paper_likwid_1x3_backup.py.

◆ folder_input

str plots_llvm_paper_likwid_1x3_backup.folder_input = "/home/cristianbarrahinojosa/Overleaf/paper-llvm2022/experiments/18_sph_simulation/hamilton8/Noh_2D/output_np_400_et_0.01/likwid/"

Definition at line 19 of file plots_llvm_paper_likwid_1x3_backup.py.