.

exercises/exerciseA/heavy_computation.py

@@ -5,28 +5,29 @@ from datetime import datetime
 import time
 
 # Timestamp that will be put in the file name
-timestamp = datetime.now().strftime("%H%M%S%f")
 
 # Get the environment variable for threads
-threads = os.getenv('OMP_NUM_THREADS')
+for threads in range(1,12):
+	for _ in range(3):
+		timestamp = datetime.now().strftime("%H%M%S%f")
 
-# A relatively large matrix to work on
-n = 5_000
-x = np.random.random(size=(n, n))
+		# A relatively large matrix to work on
+		n = 5_000
+		x = np.random.random(size=(n, n))
 
-print(f"We are executed with OMP_NUM_THREADS={threads} for {n=}")
+		print(f"We are executed with OMP_NUM_THREADS={threads} for {n=}")
 
-# Measure the time required for matrix multiplication
-start_time = time.time()
-y = x @ x  # The heavy compute
-elapsed_time = time.time() - start_time
+		# Measure the time required for matrix multiplication
+		start_time = time.time()
+		y = x @ x  # The heavy compute
+		elapsed_time = time.time() - start_time
 
-print(f'Time used for matrix multiplication: {elapsed_time:.2f} s')
+		print(f'Time used for matrix multiplication: {elapsed_time:.2f} s')
 
-# Check if timings folder exists
-if not os.path.isdir('timings/'):
-    os.mkdir('timings')
+		# Check if timings folder exists
+		if not os.path.isdir('timings/'):
+			os.mkdir('timings')
 
-# IO: Save the timing to a unique txt file
-with open(f'timings/{threads}_threads_t{timestamp}.txt', 'w') as file:
-    print(f'{threads},{elapsed_time:.6f}', file=file)
+		# IO: Save the timing to a unique txt file
+		with open(f'timings/{threads}_threads_t{timestamp}.txt', 'w') as file:
+			print(f'{threads},{elapsed_time:.6f}', file=file)