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3 years ago

After a hard rain, water flows faster in a local creek. This washes away a lot of sediment, making the creek a little deeper.

Computers and Technology

1 answer:

notka56 [123]3 years ago

6 0

B. The Grand Canyon
Got this of a Study Island test. Good Luck!

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It takes 2 seconds to read or write one block from/to disk and it also takes 1 second of CPU time to merge one block of records.

Alexxx [7]

Answer:

Part a: For optimal 4-way merging, initiate with one dummy run of size 0 and merge this with the 3 smallest runs. Than merge the result to the remaining 3 runs to get a merged run of length 6000 records.

Part b: The optimal 4-way merging takes about 249 seconds.

Explanation:

The complete question is missing while searching for the question online, a similar question is found which is solved as below:

Part a

<em>For optimal 4-way merging, we need one dummy run with size 0.</em>

Merge 4 runs with size 0, 500, 800, and 1000 to produce a run with a run length of 2300. The new run length is calculated as follows $L_{mrg}=L_0+L_1+L_2+L_3=0+500+800+1000=2300$
Merge the run as made in step 1 with the remaining 3 runs bearing length 1000, 1200, 1500. The merged run length is 6000 and is calculated as follows

$L_{merged}=L_{mrg}+L_4+L_5+L_6=2300+1000+1200+1500=6000$

<em>The resulting run has length 6000 records</em>.

Part b

<u><em>For step 1</em></u>

Input Output Time

Input Output Time is given as

$T_{I.O}=\frac{L_{run}}{Size_{block}} \times Time_{I/O \, per\, block}$

Here

L_run is 2300 for step 01
Size_block is 100 as given
Time_{I/O per block} is 2 sec

$T_{I.O}=\frac{L_{run}}{Size_{block}} \times Time_{I/O \, per\, block}\\T_{I.O}=\frac{2300}{100} \times 2 sec\\T_{I.O}=46 sec$

So the input/output time is 46 seconds for step 01.

CPU Time

CPU Time is given as

$T_{CPU}=\frac{L_{run}}{Size_{block}} \times Time_{CPU \, per\, block}$

Here

L_run is 2300 for step 01
Size_block is 100 as given
Time_{CPU per block} is 1 sec

$T_{CPU}=\frac{L_{run}}{Size_{block}} \times Time_{CPU \, per\, block}\\T_{CPU}=\frac{2300}{100} \times 1 sec\\T_{CPU}=23 sec$

So the CPU time is 23 seconds for step 01.

Total time in step 01

$T_{step-01}=T_{I.O}+T_{CPU}\\T_{step-01}=46+23\\T_{step-01}=69 sec\\$

Total time in step 01 is 69 seconds.

<u><em>For step 2</em></u>

Input Output Time

Input Output Time is given as

$T_{I.O}=\frac{L_{run}}{Size_{block}} \times Time_{I/O \, per\, block}$

Here

L_run is 6000 for step 02
Size_block is 100 as given
Time_{I/O per block} is 2 sec

$T_{I.O}=\frac{L_{run}}{Size_{block}} \times Time_{I/O \, per\, block}\\T_{I.O}=\frac{6000}{100} \times 2 sec\\T_{I.O}=120 sec$

So the input/output time is 120 seconds for step 02.

CPU Time

CPU Time is given as

$T_{CPU}=\frac{L_{run}}{Size_{block}} \times Time_{CPU \, per\, block}$

Here

L_run is 6000 for step 02
Size_block is 100 as given
Time_{CPU per block} is 1 sec

$T_{CPU}=\frac{L_{run}}{Size_{block}} \times Time_{CPU \, per\, block}\\T_{CPU}=\frac{6000}{100} \times 1 sec\\T_{CPU}=60 sec$

So the CPU time is 60 seconds for step 02.

Total time in step 02

$T_{step-02}=T_{I.O}+T_{CPU}\\T_{step-02}=120+60\\T_{step-02}=180 sec\\$

Total time in step 02 is 180 seconds

Merging Time (Total)

<em>Now the total time for merging is given as </em>

$T_{merge}=T_{step-01}+T_{step-02}\\T_{merge}=69+180\\T_{merge}=249 sec\\$

Total time in merging is 249 seconds seconds

5 0

3 years ago

What privacy risks do new technologies present,<br> and how do we decide if they're worth it?

vredina [299]

Answer:

Los riesgos de las nuevas tecnologías se multiplican a medida que nos hacemos dependientes de ellas. También lo hacen a medida que sustituyen a otras formas de contacto social más cercanas

Los riesgos de las nuevas tecnologías son grandes desconocidos. El mal uso de las redes sociales y de Internet en los ordenadores y en el teléfono móvil, entre otros factores, supone un peligro real para todos los estratos de población, pero en especial para los más jóvenes. Pensemos, ¿realmente somos conscientes de los riesgos que suponen las nuevas tecnologías? ¿Sabemos cómo utilizarlas para no ponernos en riesgo?

Cabe destacar que las denominadas nuevas tecnologías de la información y de la comunicación (TICs) son un distintivo de la época actual y se han convertido en herramientas esenciales en las diferentes áreas de la vida. Esto es, para el área académica, laboral, social, de ocio…

En la mayoría de los ámbitos están presentes las TICS, pues incluyen las diferentes herramientas con las que nos manejamos hoy en día: servicios de contacto electrónico (e-mails, servicios de mensajería instantánea, chats), los teléfonos móviles, tablets y ordenadores, las plataformas online de difusión de contenidos, las redes sociales, entre otros..

Explanation:

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3 years ago

How does the occupational outlook affect the monetary benefits of a career

Ksivusya [100]

If there are changes to the responsibilities in a career, the typical outcome will change.

4 0

3 years ago

Which option identifies what the computer will yield in the following scenario?

dolphi86 [110]

I think it would be the computer program will create a design with the exact dimensions

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2 years ago

The discipline of building hardware architectures, operating systems, and specialized algorithms for running a program on a clus

kondaur [170]

The discipline of building hardware architectures, operating systems, and specialized algorithms for running a program on a cluster of processors is known as <u>parallel computing.</u>

<u></u>

<h3>What is Parallel Computing?</h3>

Parallel computing refers to the process of breaking down larger problems into smaller, independent, often similar parts that can be executed simultaneously by multiple processors communicating via shared memory, the results of which are combined upon completion as part of an overall algorithm. The primary goal of parallel computing is to increase available computation power for faster application processing and problem solving.

<h3>Types of parallel computing</h3>

There are generally four types of parallel computing, available from both proprietary and open source parallel computing vendors:

Bit-level parallelism: increases processor word size, which reduces the quantity of instructions the processor must execute in order to perform an operation on variables greater than the length of the word.
Instruction-level parallelism: the hardware approach works upon dynamic parallelism, in which the processor decides at run-time which instructions to execute in parallel; the software approach works upon static parallelism, in which the compiler decides which instructions to execute in parallel.
Task parallelism: a form of parallelization of computer code across multiple processors that runs several different tasks at the same time on the same data.
Superword-level parallelism: a vectorization technique that can exploit parallelism of inline code.

Learn more about parallel computing

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5 0

2 years ago