What is Parallel Computing || 10% payout to @zero-to-Infinity

in hive-138458 •  3 years ago 

Hello Everyone to all members of zero to Infinity Community


I hope every one will be happy and enjoying yourlife by the grace of God.

Meet me, my name is Muneeb Ahmad. My user name is @muneebah. I am 18 years old. I am from pakistan.
I am student of 2nd years.

This is my first post in this community.
My friend @sameer07 ask me joined this community. And i decide my post to write in this community.

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In this posy we will talk about Parallel Computing,its advantage and disadvantages
This is very helpful post about everyone.

Today i will post about parallel Computing.

Parallel Computing


Parallel Computing is defined as down breaking of large computer problem, parallel computing convert it into smaller, and carried out simultanrously.
It may divided into small problems, and iy will solved into at same time.

Types


  • Bit-level
  • Instruction level
  • Data level
  • Task parallelism

Parallel computing is same as concurrent computing, they are also used to frequntly tobsolved problems. Parallel Computers are have roughly classified according hard ware that support parallelism which have miluticore,multi processor,MMPs And grids.

This also a collection of integrated and networked softwares and internet that is called computer platforms.

Parallel computing have impotance to grow with increasing usage of GPUs and processors. Usung the power of parallelismcomplete more work than system of CPU.

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Same like this cloud computingis term in which delivery of scalable,database,datastorage,networking and
Pay as you gobase.
In which three most common srvices are

  • Platform as a Service
  • Infrastructure as service
  • Software as a service

Advantages and disadvantages


Advantages:

  • Sovlve large facts and problems in short time.

  • It saves time and it have application of shoter wall clock time.

  • You can do many things immediatly by using of computing resources

  • we can store massive dat and it have massive data storage and quick computation.

  • Can using computing resources on Wide Area Network (WAN).

Disadvantages:

  • In the system good cooling technologies are required in the case of clusters.

  • It require proper understanding and practice,you are good to goo.

  • Extra cost incutred are due to data transfers,thread creation, due to to parallelization.

  • Power consumption is too big by artitecture of multicore.

Now at the end ,i hope you really loves my post in the wonderfull community is name zero to infinity

Special Mention:

@tarpan
@daytona475
@cryptogecko
@zmoreno

Regards,
@muneebah

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