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.
A microcomputer is a small device composed of a central CPU with a microprocessor. Microcomputers are also called personal computers (PCs) and they are ultimately easier to transport.
<h3>What is a microcomputer?</h3>
A microcomputer refers to a personal computer, which is similar to an IBM PC device machine.
The term microcomputer was used in the 1970s, nowadays they are called personal computers, and PCs are being increasingly better both in usage and transportability.
The average personal computer has a weight of 20-30 pounds, in the future, it is believed that there will be no need for a personal computer (all data will be in the cloud).
Learn more about personal computers here:
brainly.com/question/4945544
Answer:
d. integrity
Explanation:
Data integrity is defined as the condition in which all of the data in the database are consistent with the real-world events and conditions.
Data integrity can be used to describe a state, a process or a function – and is often used as a proxy for “data quality”. Data with “integrity” is said to have a complete or whole structure. Data integrity is imposed within a database when it is designed and is authenticated through the ongoing use of error checking and validation routines. As a simple example, to maintain data integrity numeric columns/cells should not accept alphabetic data.
