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# .. Memory benchmarks for SciPy's Singular Value Decomposition ..
# .. Author: Fabian Pedregosa <[email protected]>

import numpy as np
from scipy.sparse import linalg as splinalg
from scipy import sparse, linalg
import pylab as pl
from memory_profiler import memory_usage

dims = np.arange(500, 1500, 20)

quettabit

def hello_decorator(func):  
    
    # inner1 is a Wrapper function in   
    # which the argument is called  
        
    # inner function can access the outer local  
    # functions like in this case "func"  
    print("wooow")
    def inner1(a):  
        print("Hello, this is before function execution")  

quettabit

For a 1.5:1 (measured in cup) ratio of Rice and Channa,

Ingredients

• Green Chillies (4) finely chopped
• Medium sized onion (1) cut into thin strips
• Ginger Garlic paste (thick) (0.5 tablespoon)
• Green Cardamom (3)
• Cloves (2)
• Cumin seeds (1.5 teaspoon)
• Red Chilli powder (0.5 teaspoon)
• Coriander powder (1 teaspoon)

quettabit

Nvidia P100 vs V100

• Volta is successor to Pascal
• V100 is 3x faster than P100

In Compute Canada,

• Beluga has V100 GPUs
• Others have P100 GPUs