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ce2016bdc6
...
ee01fadf14
Author | SHA1 | Date | |
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ee01fadf14 | |||
10934046f7 |
@ -5,13 +5,25 @@ from enum import Enum
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class Stat(Enum):
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class Stat(Enum):
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CPU = 'cpu'
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CPU = 'cpu'
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SOLVER = 'solver'
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THREADS = 'threads'
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LIN_ALG = 'linear algebra'
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ITERATIONS = 'iterations'
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INPUT_FILE = 'input file'
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BASELINE_TIME_S = 'baseline time (sec)'
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MAXWELL_SIZE = 'maxwell size'
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BASELINE_DELAY_S = 'baseline delay (sec)'
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MATRIX_COLS = 'matrix columns'
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POWER_DELTA = 'Δ watt'
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SOLVER = 'solver'
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MATRIX_FILE = 'matrix file'
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MATRIX_SHAPE = 'matrix shape'
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MATRIX_SIZE = 'matrix size'
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MATRIX_NNZ = 'matrix nnz'
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MATRIX_DENSITY = 'matrix density %'
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POWER_BEFORE = 'power before'
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POWER = 'power'
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POWER_AFTER = 'power after'
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TIME_S = 'time (sec)'
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DELTA_WATT = 'Δ watt'
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JOULES = 'joules'
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TASK_CLK = 'task clock (msec)'
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TASK_CLK = 'task clock (msec)'
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PAGE_FAULTS = 'page faults'
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PAGE_FAULTS = 'page faults'
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@ -45,7 +57,14 @@ class Stat(Enum):
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L2D_CACHE_MISS_RATE = 'L2D cache miss rate'
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L2D_CACHE_MISS_RATE = 'L2D cache miss rate'
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LL_CACHE_MISS_RATE = 'LL cache miss rate'
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LL_CACHE_MISS_RATE = 'LL cache miss rate'
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altra_names = {
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class Cpu(Enum):
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#ALTRA = altra_names
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#XEON = xeon_names
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ALTRA = 'Altra'
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EPYC_7313P = 'Epyc 7313P'
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names = {
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Cpu.ALTRA: {
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Stat.TASK_CLK: 'task-clock:u',
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Stat.TASK_CLK: 'task-clock:u',
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Stat.PAGE_FAULTS: 'page-faults:u',
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Stat.PAGE_FAULTS: 'page-faults:u',
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Stat.CYCLES: 'cycles:u',
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Stat.CYCLES: 'cycles:u',
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@ -67,9 +86,8 @@ altra_names = {
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Stat.L2D_CACHE_MISS: 'L2D_CACHE_REFILL:u',
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Stat.L2D_CACHE_MISS: 'L2D_CACHE_REFILL:u',
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Stat.LL_CACHE: 'LL_CACHE_RD:u',
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Stat.LL_CACHE: 'LL_CACHE_RD:u',
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Stat.LL_CACHE_MISS: 'LL_CACHE_MISS_RD:u',
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Stat.LL_CACHE_MISS: 'LL_CACHE_MISS_RD:u',
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}
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},
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Cpu.EPYC_7313P: {
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xeon_names = {
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Stat.TASK_CLK: 'task-clock:u',
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Stat.TASK_CLK: 'task-clock:u',
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Stat.PAGE_FAULTS: 'page-faults:u',
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Stat.PAGE_FAULTS: 'page-faults:u',
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Stat.CYCLES: 'cycles:u',
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Stat.CYCLES: 'cycles:u',
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@ -87,12 +105,9 @@ xeon_names = {
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Stat.L1D_CACHE_MISS: 'L1-dcache-load-misses:u',
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Stat.L1D_CACHE_MISS: 'L1-dcache-load-misses:u',
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Stat.LL_CACHE: 'LLC-loads:u',
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Stat.LL_CACHE: 'LLC-loads:u',
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Stat.LL_CACHE_MISS: 'LLC-load-misses:u',
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Stat.LL_CACHE_MISS: 'LLC-load-misses:u',
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}
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}
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}
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class CPU(Enum):
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ALTRA = altra_names
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XEON = xeon_names
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def parse_output_old(filename: str, data: dict[str, str]) -> dict:
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def parse_output_old(filename: str, data: dict[str, str]) -> dict:
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result: dict[str, int | float] = dict()
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result: dict[str, int | float] = dict()
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cpu: CPU = CPU[data['cpu'].upper()]
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cpu: CPU = CPU[data['cpu'].upper()]
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@ -112,12 +127,12 @@ def parse_output_old(filename: str, data: dict[str, str]) -> dict:
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return result | parse_power(filename, cpu)
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return result | parse_power(filename, cpu)
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def parse_output(output: str, cpu: CPU) -> dict:
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def parse_output(output: str, cpu: Cpu) -> dict:
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result = dict()
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result = dict()
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for line in output.split('\n'):
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for line in output.split('\n'):
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for stat in [x for x in Stat if x in cpu.value]:
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for stat in [x for x in Stat if x in names[cpu]]:
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regex = r'^\W*([\d+(,|\.)?]+)\W*.*' + cpu.value[stat]
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regex = r'^\W*([\d+(,|\.)?]+)\W*.*' + names[cpu][stat]
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value = re.search(regex, line)
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value = re.search(regex, line)
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if value is None:
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if value is None:
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@ -1,5 +1,7 @@
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#! /bin/python3
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#! /bin/python3
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from data_stat import Cpu
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import argparse
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import argparse
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import glob
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import glob
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import os
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import os
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@ -7,7 +9,7 @@ import subprocess
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import random
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import random
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parser = argparse.ArgumentParser()
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parser = argparse.ArgumentParser()
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parser.add_argument('arch')
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parser.add_argument('cpu', choices=[x.name.lower() for x in Cpu])
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parser.add_argument('output_dir')
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parser.add_argument('output_dir')
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parser.add_argument('matrix_dir')
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parser.add_argument('matrix_dir')
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parser.add_argument('iterations', type=int)
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parser.add_argument('iterations', type=int)
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@ -17,8 +19,10 @@ parser.add_argument('--perf', action='store_const', const='--perf')
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parser.add_argument('--power', action='store_const', const='--power')
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parser.add_argument('--power', action='store_const', const='--power')
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parser.add_argument('--distribute', action='store_true')
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parser.add_argument('--distribute', action='store_true')
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args = parser.parse_args()
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args = parser.parse_args()
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args.cpu = Cpu[args.cpu.upper()]
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srun_args_altra = [
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srun_args = {
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Cpu.ALTRA: [
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'--account', 'oasis',
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'--account', 'oasis',
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'--partition', 'oasis',
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'--partition', 'oasis',
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'--qos', 'oasis-exempt',
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'--qos', 'oasis-exempt',
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@ -31,10 +35,11 @@ srun_args_altra = [
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#'--output', '/dev/null',
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#'--output', '/dev/null',
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#'--error', '/dev/null'
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#'--error', '/dev/null'
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]
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]
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}
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def srun(srun_args_list: list, run_args, matrix_file: str) -> list:
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def srun(srun_args_list: list, run_args, matrix_file: str) -> list:
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run_args_list = [
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run_args_list = [
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args.arch,
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args.cpu.name.lower(),
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matrix_file,
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matrix_file,
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str(args.iterations),
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str(args.iterations),
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str(args.baseline_time_s),
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str(args.baseline_time_s),
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@ -48,15 +53,17 @@ def srun(srun_args_list: list, run_args, matrix_file: str) -> list:
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processes = list()
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processes = list()
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for i, matrix in enumerate(glob.glob(f'{args.matrix_dir.rstrip("/")}/*.mtx')):
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for i, matrix in enumerate(glob.glob(f'{args.matrix_dir.rstrip("/")}/*.mtx')):
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if args.arch == 'altra':
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if args.distribute:
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if args.distribute:
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if args.cpu == Cpu.ALTRA:
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i = i % 40
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i = i % 40
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srun_args = srun_args_altra + ['--nodelist', f'oasis{i:02}']
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srun_args_temp = srun_args[args.cpu] + ['--nodelist', f'oasis{i:02}']
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elif args.cpu == Cpu.EPYC_7313P:
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srun_args_temp = srun_args[args.cpu]
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else:
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else:
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srun_args = srun_args_altra
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srun_args_temp = srun_args[args.cpu]
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output_filename = '_'.join([
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output_filename = '_'.join([
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args.arch,
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args.cpu.name.lower(),
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str(args.baseline_time_s),
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str(args.baseline_time_s),
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str(args.baseline_delay_s),
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str(args.baseline_delay_s),
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os.path.splitext(os.path.basename(matrix))[0],
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os.path.splitext(os.path.basename(matrix))[0],
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@ -65,14 +72,22 @@ for i, matrix in enumerate(glob.glob(f'{args.matrix_dir.rstrip("/")}/*.mtx')):
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json_filepath = f'{args.output_dir.rstrip("/")}/{output_filename}.json'
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json_filepath = f'{args.output_dir.rstrip("/")}/{output_filename}.json'
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raw_filepath = f'{args.output_dir.rstrip("/")}/{output_filename}.output'
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raw_filepath = f'{args.output_dir.rstrip("/")}/{output_filename}.output'
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with open(json_filepath, 'w') as json_file, open(raw_filepath, 'w') as raw_file:
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with open(json_filepath, 'w') as json_file, open(raw_filepath, 'w') as raw_file:
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print(srun(srun_args, args, matrix))
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print(srun(srun_args_temp, args, matrix))
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print(json_filepath)
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print(json_filepath)
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print(raw_filepath)
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print(raw_filepath)
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processes.append(subprocess.Popen(
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processes.append(subprocess.Popen(
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srun(srun_args_altra, args, matrix),
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srun(srun_args_temp, args, matrix),
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stdout=json_file,
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stdout=json_file,
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stderr=raw_file))
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stderr=raw_file))
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# Wait on every 10 jobs to avoid socket timeout.
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if i % 10 == 9:
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print("Waiting on 10 jobs")
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for process in processes:
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process.wait()
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processes = list()
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for process in processes:
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for process in processes:
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process.wait()
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process.wait()
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1
pytorch/data_stat.py
Symbolic link
1
pytorch/data_stat.py
Symbolic link
@ -0,0 +1 @@
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../analysis/data_stat.py
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@ -1 +0,0 @@
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../analysis/perf_stat.py
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@ -1,14 +1,16 @@
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#! /bin/python3
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#! /bin/python3
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import perf_stat
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import data_stat
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from data_stat import Stat, Cpu
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import argparse
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import argparse
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import os, sys
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import os, sys
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import subprocess, signal
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import subprocess, signal
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import json
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import json
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import time
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parser = argparse.ArgumentParser()
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parser = argparse.ArgumentParser()
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parser.add_argument('arch')
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parser.add_argument('cpu', choices=[x.name.lower() for x in Cpu])
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parser.add_argument('matrix_file')
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parser.add_argument('matrix_file')
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parser.add_argument('iterations', type=int)
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parser.add_argument('iterations', type=int)
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parser.add_argument('baseline_time_s', type=int)
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parser.add_argument('baseline_time_s', type=int)
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@ -17,17 +19,23 @@ parser.add_argument('--perf', action='store_true')
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parser.add_argument('--power', action='store_true')
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parser.add_argument('--power', action='store_true')
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parser.add_argument('-d', '--debug', action='store_true')
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parser.add_argument('-d', '--debug', action='store_true')
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args = parser.parse_args()
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args = parser.parse_args()
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args.cpu = Cpu[args.cpu.upper()]
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program_altra = [
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program = {
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Cpu.ALTRA: [
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'apptainer', 'run', 'pytorch-altra.sif', '-c',
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'apptainer', 'run', 'pytorch-altra.sif', '-c',
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'numactl --cpunodebind=0 --membind=0 '
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'numactl --cpunodebind=0 --membind=0 '
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+ f'python spmv.py {args.matrix_file} {args.iterations}']
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+ f'python spmv.py {args.matrix_file} {args.iterations}']
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}
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perf = ['perf', 'stat']
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perf = ['perf', 'stat']
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perf_altra = [['-d', '-d'],
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perf_args = {
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Cpu.ALTRA: [
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['-d', '-d'],
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['-M', 'branch_misprediction_ratio'],
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['-M', 'branch_misprediction_ratio'],
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['-M', 'dtlb_walk_ratio,itlb_walk_ratio'],
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['-M', 'dtlb_walk_ratio,itlb_walk_ratio'],
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['-M', 'l1d_cache_miss_ratio,l1i_cache_miss_ratio'],
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['-M', 'l1d_cache_miss_ratio,l1i_cache_miss_ratio'],
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['-M', 'l2_cache_miss_ratio,l2_tlb_miss_ratio,ll_cache_read_miss_ratio']]
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['-M', 'l2_cache_miss_ratio,l2_tlb_miss_ratio,ll_cache_read_miss_ratio']]
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}
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def baseline_power(baseline_time_s: int) -> list:
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def baseline_power(baseline_time_s: int) -> list:
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power_process = subprocess.Popen(['./power.py', '-s', str(baseline_time_s)],
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power_process = subprocess.Popen(['./power.py', '-s', str(baseline_time_s)],
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@ -37,66 +45,56 @@ def baseline_power(baseline_time_s: int) -> list:
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def run_program(program: list[str]) -> tuple[dict, str]:
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def run_program(program: list[str]) -> tuple[dict, str]:
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process = subprocess.run(program,
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process = subprocess.run(program,
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stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True)
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stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True)
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#print(json.loads(process.stdout))
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if args.debug:
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#print(process.stderr)
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print(process.stdout)
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print(process.stderr)
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return (json.loads(process.stdout), process.stderr)
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return (json.loads(process.stdout), process.stderr)
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result = dict()
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result = dict()
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result['architecture'] = args.arch
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result[Stat.CPU.value] = args.cpu.value
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result['iterations'] = args.iterations
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result[Stat.ITERATIONS.value] = args.iterations
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result['baseline_time_s'] = args.baseline_time_s
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result[Stat.BASELINE_TIME_S.value] = args.baseline_time_s
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result['baseline_delay_s'] = args.baseline_delay_s
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result[Stat.BASELINE_DELAY_S.value] = args.baseline_delay_s
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if args.power is True:
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if args.power:
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result['power_before'] = baseline_power(args.baseline_time_s)
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time.sleep(args.baseline_delay_s)
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result[Stat.POWER_BEFORE.value] = baseline_power(args.baseline_time_s)
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if args.debug:
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if args.debug:
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print(result)
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print(result)
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run_program(program_altra) # Warmup
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run_program(program[args.cpu]) # Warmup
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power_process = subprocess.Popen(['./power.py'],
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power_process = subprocess.Popen(['./power.py'],
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stdout=subprocess.PIPE, stderr=subprocess.DEVNULL, text=True)
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stdout=subprocess.PIPE, stderr=subprocess.DEVNULL, text=True)
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if args.arch == 'altra':
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result = result | run_program(program[args.cpu])[0]
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result = result | run_program(program_altra)[0]
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elif args.arch == 'x86':
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print("Arch not implemented yet!")
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exit(1)
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else:
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print("Unrecognized arch!")
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exit(1)
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power_process.send_signal(signal.SIGINT)
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power_process.send_signal(signal.SIGINT)
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if args.debug:
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if args.debug:
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print(result)
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print(result)
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result['power'] = [float(x) for x in power_process.communicate()[0].strip().split('\n')]
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result[Stat.POWER.value] = [float(x) for x in power_process.communicate()[0].strip().split('\n')]
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# Riemann Sum
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from math import ceil
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result[Stat.JOULES.value] = sum(result[Stat.POWER.value][-ceil(result[Stat.TIME_S.value]):-1]) + (result[Stat.POWER.value][-1] * (result[Stat.TIME_S.value] % 1))
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if args.debug:
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if args.debug:
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print(result)
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print(result)
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#print(len(result['power']))
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#print(len(result['power']))
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#print(sum(result['power']) / len(result['power']))
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#print(sum(result['power']) / len(result['power']))
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import time
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time.sleep(args.baseline_delay_s)
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time.sleep(args.baseline_delay_s)
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result['power_after'] = baseline_power(args.baseline_time_s)
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result[Stat.POWER_AFTER.value] = baseline_power(args.baseline_time_s)
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if args.debug:
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if args.debug:
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print(result)
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print(result)
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if args.perf is True:
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if args.perf:
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if args.arch == 'altra':
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for perf_arg in perf_args[args.cpu]:
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for perf_args in perf_altra:
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output = run_program(perf + perf_arg + program[args.cpu])[1]
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output = run_program(perf + perf_args + program_altra)[1]
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print(output, file=sys.stderr)
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print(output, file=sys.stderr)
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result = result | perf_stat.parse_output(output, perf_stat.CPU.ALTRA)
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result = result | data_stat.parse_output(output, args.cpu)
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if args.debug:
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if args.debug:
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print(result)
|
print(result)
|
||||||
elif args.arch == 'x86':
|
|
||||||
print("no implement")
|
|
||||||
exit(1)
|
|
||||||
else:
|
|
||||||
print("Unrecognized arch!")
|
|
||||||
exit(1)
|
|
||||||
|
|
||||||
result = result | perf_stat.derive_stats(result)
|
result = result | data_stat.derive_stats(result)
|
||||||
|
|
||||||
if args.debug:
|
if args.debug:
|
||||||
print(result)
|
print(result)
|
||||||
|
@ -1,3 +1,5 @@
|
|||||||
|
from data_stat import Stat
|
||||||
|
|
||||||
import torch, scipy
|
import torch, scipy
|
||||||
import numpy as np
|
import numpy as np
|
||||||
import argparse
|
import argparse
|
||||||
@ -32,19 +34,22 @@ end = time.time()
|
|||||||
|
|
||||||
result = dict()
|
result = dict()
|
||||||
|
|
||||||
result['matrix'] = os.path.splitext(os.path.basename(args.matrix_file))[0]
|
result[Stat.MATRIX_FILE.value] = os.path.splitext(os.path.basename(args.matrix_file))[0]
|
||||||
print(f"Matrix: {result['matrix']}", file=sys.stderr)
|
print(f"Matrix: {result[Stat.MATRIX_FILE.value]}", file=sys.stderr)
|
||||||
|
|
||||||
result['shape'] = matrix.shape
|
result[Stat.MATRIX_SHAPE.value] = matrix.shape
|
||||||
print(f"Shape: {result['shape']}", file=sys.stderr)
|
print(f"Shape: {result[Stat.MATRIX_SHAPE.value]}", file=sys.stderr)
|
||||||
|
|
||||||
result['nnz'] = matrix.values().shape[0]
|
result[Stat.MATRIX_SIZE.value] = matrix.shape[0] * matrix.shape[1]
|
||||||
print(f"NNZ: {result['nnz']}", file=sys.stderr)
|
print(f"Size: {result[Stat.MATRIX_SIZE.value]}", file=sys.stderr)
|
||||||
|
|
||||||
result['% density'] = matrix.values().shape[0] / (matrix.shape[0] * matrix.shape[1])
|
result[Stat.MATRIX_NNZ.value] = matrix.values().shape[0]
|
||||||
print(f"Density: {result['% density']}", file=sys.stderr)
|
print(f"NNZ: {result[Stat.MATRIX_NNZ.value]}", file=sys.stderr)
|
||||||
|
|
||||||
result['time_s'] = end - start
|
result[Stat.MATRIX_DENSITY.value] = matrix.values().shape[0] / (matrix.shape[0] * matrix.shape[1])
|
||||||
print(f"Time: {result['time_s']} seconds", file=sys.stderr)
|
print(f"Density: {result[Stat.MATRIX_DENSITY.value]}", file=sys.stderr)
|
||||||
|
|
||||||
|
result[Stat.TIME_S.value] = end - start
|
||||||
|
print(f"Time: {result[Stat.TIME_S.value]} seconds", file=sys.stderr)
|
||||||
|
|
||||||
print(json.dumps(result))
|
print(json.dumps(result))
|
||||||
|
Loading…
Reference in New Issue
Block a user