diff --git a/05/05-2-multiprocess-with-gpu.py b/05/05-2-multiprocess-with-gpu.py new file mode 100644 index 0000000..922f22a --- /dev/null +++ b/05/05-2-multiprocess-with-gpu.py @@ -0,0 +1,117 @@ +#!/usr/bin/env python3 +# -*- coding: utf-8 -*- +from multiprocessing import Pool +from time import time +import numpy as np +from numba import njit + +start = time() + +seeds = np.ndarray([]) # 0 +seed_to_soil = [] # 1 +soil_to_fertilizer = [] # 2 +fertilizer_to_water = [] # 3 +water_to_light = [] # 4 +light_to_temperature = [] # 5 +temperature_to_humidity = [] # 6 +humidity_to_location = [] # 7 + +list_number = 0 +# parse input +input_file = open("input", "r") +for line in input_file: + line = line.strip() + if line == "": + continue + if line.startswith('seeds: '): + seeds = [int(x) for x in line.replace('seeds: ', '').split()] + if line == "seed-to-soil map:": + list_number = 1 + continue + if line == "soil-to-fertilizer map:": + list_number = 2 + continue + if line == "fertilizer-to-water map:": + list_number = 3 + continue + if line == "water-to-light map:": + list_number = 4 + continue + if line == "light-to-temperature map:": + list_number = 5 + continue + if line == "temperature-to-humidity map:": + list_number = 6 + continue + if line == "humidity-to-location map:": + list_number = 7 + continue + if list_number == 1: + seed_to_soil.append([int(x) for x in line.split()]) + elif list_number == 2: + soil_to_fertilizer.append([int(x) for x in line.split()]) + elif list_number == 3: + fertilizer_to_water.append([int(x) for x in line.split()]) + elif list_number == 4: + water_to_light.append([int(x) for x in line.split()]) + elif list_number == 5: + light_to_temperature.append([int(x) for x in line.split()]) + elif list_number == 6: + temperature_to_humidity.append([int(x) for x in line.split()]) + elif list_number == 7: + humidity_to_location.append([int(x) for x in line.split()]) +input_file.close() + +seed_to_soil = np.asarray(seed_to_soil) +soil_to_fertilizer = np.asarray(soil_to_fertilizer) +fertilizer_to_water = np.asarray(fertilizer_to_water) +water_to_light = np.asarray(water_to_light) +light_to_temperature = np.asarray(light_to_temperature) +temperature_to_humidity = np.asarray(temperature_to_humidity) +humidity_to_location = np.asarray(humidity_to_location) + + +@njit +def find_dest(num, map_list): + for m in map_list: + if m[1] <= num < m[1] + m[2]: + return num - m[1] + m[0] + return num + + +@njit +def find_min(seed, ra): + min_location = - 1 + print(f"gestartet: Seed: {seed} Range: {ra}") + for s in range(seed, seed + ra): + soil = find_dest(s, seed_to_soil) + fertilizer = find_dest(soil, soil_to_fertilizer) + water = find_dest(fertilizer, fertilizer_to_water) + light = find_dest(water, water_to_light) + temperature = find_dest(light, light_to_temperature) + humidity = find_dest(temperature, temperature_to_humidity) + location = find_dest(humidity, humidity_to_location) + if min_location == -1: + min_location = location + elif location < min_location: + min_location = location + print(f"beendet.. Seed: {seed} Range: {ra} MinLocation: {min_location}") + return min_location + + +if __name__ == '__main__': + num_processes = 10 + + input_data = [] + for i in range(0, len(seeds), 2): + input_data.append((seeds[i], seeds[i+1])) + # input_data manuell erstellt: + # input_data = [(seeds[0], seeds[1]), (seeds[2], seeds[3]), (seeds[4], seeds[5]), (seeds[6], seeds[7]), + # (seeds[8], seeds[9]), (seeds[10], seeds[11]), (seeds[12], seeds[13]), (seeds[14], seeds[15]), + # (seeds[16], seeds[17]), (seeds[18], seeds[19])] + + with Pool(processes=num_processes) as pool: + results = pool.starmap(find_min, input_data) + print(results) + print(f"kleinste Location: {min(results)}") + print(f"Script beendet! Benötigte Zeit in Sekunden: {int(time()-start)}") diff --git a/05/05-2-multiprocessig-gpu-eric.py b/05/05-2-multiprocessig-gpu-eric.py new file mode 100644 index 0000000..238b7ae --- /dev/null +++ b/05/05-2-multiprocessig-gpu-eric.py @@ -0,0 +1,119 @@ +#!/usr/bin/env python3 +# -*- coding: utf-8 -*- +from multiprocessing import Pool +from time import time + +import numpy as np +from numba import jit + +seeds = [] # 0 +seed_to_soil = [] # 1 +soil_to_fertilizer = [] # 2 +fertilizer_to_water = [] # 3 +water_to_light = [] # 4 +light_to_temperature = [] # 5 +temperature_to_humidity = [] # 6 +humidity_to_location = [] # 7 + +list_number = 0 + + +@jit(target_backend='cuda', nopython=True) +def find_dest(num, map_list): + for m in map_list: + if m[1] <= num < m[1] + m[2]: + return num - m[1] + m[0] + return num + + +# parse input +input_file = open("input", "r") +for line in input_file: + line = line.strip() + if line == "": + continue + if line.startswith('seeds: '): + seeds = [int(x) for x in line.replace('seeds: ', '').split()] + if line == "seed-to-soil map:": + list_number = 1 + continue + if line == "soil-to-fertilizer map:": + list_number = 2 + continue + if line == "fertilizer-to-water map:": + list_number = 3 + continue + if line == "water-to-light map:": + list_number = 4 + continue + if line == "light-to-temperature map:": + list_number = 5 + continue + if line == "temperature-to-humidity map:": + list_number = 6 + continue + if line == "humidity-to-location map:": + list_number = 7 + continue + if list_number == 1: + seed_to_soil.append([int(x) for x in line.split()]) + elif list_number == 2: + soil_to_fertilizer.append([int(x) for x in line.split()]) + elif list_number == 3: + fertilizer_to_water.append([int(x) for x in line.split()]) + elif list_number == 4: + water_to_light.append([int(x) for x in line.split()]) + elif list_number == 5: + light_to_temperature.append([int(x) for x in line.split()]) + elif list_number == 6: + temperature_to_humidity.append([int(x) for x in line.split()]) + elif list_number == 7: + humidity_to_location.append([int(x) for x in line.split()]) +input_file.close() + +seeds = np.array(seeds) +seed_to_soil = np.array(seed_to_soil) +soil_to_fertilizer = np.array(soil_to_fertilizer) +fertilizer_to_water = np.array(fertilizer_to_water) +water_to_light = np.array(water_to_light) +light_to_temperature = np.array(light_to_temperature) +temperature_to_humidity = np.array(temperature_to_humidity) +humidity_to_location = np.array(humidity_to_location) + + +@jit(target_backend='cuda', nopython=True) +def find_min(seed, ra): + min_location = - 1 + print(f"gestartet: Seed: {seed} Range: {ra}") + for s in range(seed, seed + ra): + soil = find_dest(s, seed_to_soil) + fertilizer = find_dest(soil, soil_to_fertilizer) + water = find_dest(fertilizer, fertilizer_to_water) + light = find_dest(water, water_to_light) + temperature = find_dest(light, light_to_temperature) + humidity = find_dest(temperature, temperature_to_humidity) + location = find_dest(humidity, humidity_to_location) + if min_location == -1: + min_location = location + elif location < min_location: + min_location = location + print(f"beendet.. Seed: {seed} Range: {ra} MinLocation: {min_location}") + return min_location + + +if __name__ == '__main__': + num_processes = 10 + + input_data = [] + for i in range(0, len(seeds), 2): + input_data.append((seeds[i], seeds[i + 1])) + input_data = np.array(input_data) + + start = time() + with Pool(processes=num_processes) as pool: + results = pool.starmap(find_min, input_data) + print(results) + print(f"kleinste Location: {min(results)}") + + print(f"Benötigte Zeit: {round(time() - start)}s") + input("")