Answer:
A
Explanation:
I mean, I would say that it's A.
sorry, if it didn't help
Answer:
Check the explanation
Explanation:
kindly check the well written code below to get the solution to your question.
import json
def json_filter(input_string):
jsonFormat = json.loads(input_string)
result = []
for obj in jsonFormat:
if obj["temperature"] > 38.46:
result.append(obj)
return json.dumps(result)
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.
The answer is c because it’s showing what different types of brushes and their specific styles
Answer:
A computer has a memory hierarchy, rather than just a single memory component. The lowest level is some form of secondary storage such as a magnetic disk. The next level is the main memory where a subset of the data from the hard disk is stored temporarily. The cache memory is the next level and uses SRAM to store frequently used data. Finally, the register store variables and temporary results for the current CPU computations.
