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Umnica [9.8K]
1 year ago
7

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

ter of processors is known by what term?
Computers and Technology
1 answer:
kondaur [170]1 year ago
5 0

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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Write a C++ console program to do the following: 1. Define an array of ints with the ten elements { 0, 1,2,3, 4, 5, 6, 7, 8, 9 }
Gemiola [76]

Answer:

#include<iostream>

#include <vector>

#include <list>

using namespace std;

int main(){

int a[10]={0,1,2,3, 4, 5, 6, 7, 8, 9 };

std::vector<int> v (&a[0],&a[0]+10);

std::list<int> l (&a[0],&a[0]+10);

int b[10];

for(int i=0;i<10;i++){

b[i]=a[i];

}

std::vector<int> v2(v);

std::list<int> l2(l);

for(int i=0;i<10;i++){

b[i]+=2;

}

for(int i=0;i<10;i++){

v2[i]+=3;

}

for (std::list<int>::iterator it = l2.begin(); it != l2.end(); it++)

*it=*it+5;

cout<<"Each containers value are: "<<endl;

cout<<"1st array: "<<endl;

for(int i=0;i<10;i++){

cout<<a[i]<<" ";

}

cout<<"\n 1st vector: \n";

for(int i=0;i<10;i++){

cout<<v[i]<<" ";

}

cout<<"\n 1st List is:\n";

for (std::list<int>::iterator it = l.begin(); it != l.end(); it++)

cout << *it << ' ';

cout<<"\n 2nd array: "<<endl;

for(int i=0;i<10;i++){

cout<<b[i]<<" ";

}

cout<<"\n 2nd vector:\n";

for(int i=0;i<10;i++){

cout<<v2[i]<<" ";

}

cout<<"\n 2nd list:\n";

for (std::list<int>::iterator it = l2.begin(); it != l2.end(); it++)

cout << *it << ' ';  

return 0;

}

Explanation:

  • Initialize an array, a vector and a list of type integer .
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  • Increase the value of each element in the array by 2 , vector by 3 and list by 5.
  • Finally display the relevant results.
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Modern computers are fixed-program computers (as opposed to stored program computers). True or False?
hjlf

Answer:

False.

Explanation:

The fixed program computer was used earlier which used wired processor and it was very laborious to make changes in processors. In the fixed program, the computer was following the build-in instructions and were processing only those data which were stored in memory.

Stored program computers are used in modern computers that are those computers that have single process structure and which will have instructions on how to perform the function on the computer and how to keep track of the processed data in computation.

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