Digital data<span>. Biometric </span>data<span>. Digital </span><span>data</span>
Answer:
1. 2588672 bits
2. 4308992 bits
3. The larger the data size of the cache, the larger the area of memory you will need to "search" making the access time and performance slower than the a cache with a smaller data size.
Explanation:
1. Number of bits in the first cache
Using the formula: (2^index bits) * (valid bits + tag bits + (data bits * 2^offset bits))
total bits = 2^15 (1+14+(32*2^1)) = 2588672 bits
2. Number of bits in the Cache with 16 word blocks
Using the formula: (2^index bits) * (valid bits + tag bits + (data bits * 2^offset bits))
total bits = 2^13(1 +13+(32*2^4)) = 4308992 bits
3. Caches are used to help achieve good performance with slow main memories. However, due to architectural limitations of cache, larger data size of cache are not as effective than the smaller data size. A larger cache will have a lower miss rate and a higher delay. The larger the data size of the cache, the larger the area of memory you will need to "search" making the access time and performance slower than the a cache with a smaller data size.
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uwu hope dis halpz!
In python:
age = float(input("How old are you? "))
weight = float(input("How much do you weigh? "))
heart_rate = float(input("What's your heart rate? "))
time = float(input("What's the time? "))
print("The calories burned for men is {}, and the calories burned for women is {}.".format(
((age * 0.2017) - (weight * 0.09036) + (heart_rate * 0.6309) - 55.0969) * (time / 4.184),
((age * 0.074) - (weight * 0.05741) + (heart_rate * 0.4472) - 20.4022) * (time / 4.184)))
This is the program.
When you enter 49 155 148 60, the output is:
The calories burned for men is 489.77724665391963, and the calories burned for women is 580.939531548757.
Round to whatever you desire.
Answer:
midpoint i'm pretty sure. :)
Explanation:
