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MA_775_DIABLO [31]
3 years ago
6

A CPU has 32 KB cache, 2-way set associative, 16-byte block size. How many bits are required to use index each set in this cache

?
Computers and Technology
1 answer:
LenKa [72]3 years ago
7 0

Answer:

10 bits

Explanation:

Cache size = 32 KB

We were also given that it is 2 way set associative

Block size = 16 bytes = 2^4 = 4 bits for offset

Number of blocks = cache size / block size = (32*2^10) / 16

=2^11

Hence, index = number of blocks / 2 (since 2 way associative)

=(2^11)/2 = 2^10 = 10 bits for index

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Answer: All of the above

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All the above listed point serves as security measures to safeguard our computing devices and systems.

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Create a short document titled "Guide to web searches" that Sergio can give to users of the facility he supervises. The document
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Answer:

Jobs Seeker's

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Sergio Escobar

PERFORMING A SEARCH:

All search engines will have a search field in which you are able to enter your search terms,

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Search terms are the keywords a search engine will use to try to find the most relevant search

results.

If you’re looking for general information, just enter the name of the topic you’re

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So, if you’re looking for work, you can use the search terms ‘employment’ and ‘jobs’.

The search engine will return you a list of web pages that include the words

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IF you’re looking for more specific information, you can narrow your search results by

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So, if you wanted employment opportunities in Phoenix, AZ, you could use the search terms:

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Once you’ve entered your search terms and selected the search or go button, the search

engine will provide you with a list oF search results.

Depending on your search, you could get thousands or even millions of search results. This is

because search engines will usually list every single web page on the Internet that used those

search terms somewhere on a web page.

(However, the most current and/ or relevant results should be at the top of the list.)

Searching Strategy:

Using Boolean Operators:

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ex: LOCAL AND JOBS

JOBS NOT IN NEWYORK

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With some search engines you can use proximity operators such as OpenText's NEAR operators or Webcrawler's ADJecent or the FOLLOWED BY operator.

With each of these operators, word order is important.

For example: if you place square brackets such as [local jobs] causes a hit if they are found within 100 words of each other.

Truncation (*)

You can use truncation on most search engines.

That is, you can use the asterisk (*) operator to end a root word.

For example: searching for comput* will find computer, computing, and computer jobs.

Note: the asterisk can not be the first or second letter of a root word.

Wildcard (?)

You can find words that share some but not all characters using the question mark (?) operator.

For example: Com?er J?b will find Computer Jobs and Computer Job.

Note: the ? can not be the first character in the search.

You may also use combinations of truncation (*) and single character wildcard (?) in your searches.

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These are just a few of the strategies and new tools trainers can use to make working on the web more productive.

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These are tools which are intended to make the world wide web more manageable for the user.

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Only you can decide which search/knowledge management strategies and tools actually improve your productivity.

It is my hope that this article helps you with making these decisions.

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Why is the central limit theorem so important to the study of sampling distributions?
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Answer:

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3423509 join the kahoot its for fun its about the holidayss:)
zheka24 [161]

Answer:

:)

Explanation:

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