Answer: Single precision
Explanation:
A 1-bit sign, 8-bit exponent, 23-bit fraction and a bias of 127 is used for the single precision binary floating point representation. As, single precision is the smallest change that can be represented as floating point representation is called as precision. It is the computer format number, which occupies 32 bits in the computer memory.
The IEEE standard specify a binary 32 as:
Sign bit- 1 bit
Exponent width- 8 bits
Significant and precision- 24 bits (23 stored as explicitly)
A semantic element clearly describes its meaning to both the browser and the developer.Examples of non-semantic elements: and <span> - Tells nothing about its content. Examples of semantic elements: ,, and - Clearly defines its content.</span>
The above statement is FALSE.
The layout gallery displays 9 slide layouts NOT 10.
These 9 layouts have various<span> placeholders to define text and content positioning and formatting.
</span>1 - Title slide
2 - Title and content
3 - Section Header
4 - Two content
5 - Comparison
6 - Title only
7 - Blank
8 - Content with Caption
9 - Picture with Caption
Answer:
see explaination
Explanation:
If the cache contains 2k blocks, then the data at memory address i would go to cache block index ( i mod 2k )
Memory address = 5 bit
Cache block = 23
So, if the memory location is 9, then binary address = 01001 and cache block = 9 % 8 = 1 = 001
if the memory location is 12, then binary address = 01100 and cache block = 12 % 8 = 4 = 100
if the memory location is 15, then binary address = 01111 and cache block = 15 % 8 = 7 = 111
