Parallel Computation

Posted on: 19/06/2014

Parallel computation is one of the computer programming that allows to execute commands simultaneously and concurrently in a single or multiple processors inside a CPU. Parallel computation itself is useful to improve the performance of the computer as more and more processes that can be done at the same time it will be faster.

A. The concept of Parallel
The concept of parallel processors is an ability to perform a task or multiple tasks simultaneously or concurrently, in other words, the processor is able to perform one or many tasks at one time.

B. Distributed Processing
Distributed processing is the process of parallel processing in distributed parallel processing using multiple machines. So, it could be said the ability of the computers that run simultaneously to solve a problem with the process quickly.

C. Parallel Computer Architecture
According to a Processor Designer, taxonomy Flynn, Computer Architecture baguan divided into four, namely:

1. SISD (Single Instruction Single Data Stream)
The type of computer that only has one processor and one instruction is executed serially.

2. SIMD (Single Instruction Multiple Data Stream)
This type of computer that has more than one processor, but this computer only executes one instruction in parallel on different data in lock-step level.

3. MISD (Multiple Instruction Single Data Stream)
This type of computer that has a processor and execute multiple instructions in parallel but in practice there is no computer that is built with this architecture because the system is not easily understood, until now there has been no computers that use this type of architecture

4. MIMD (Multiple Instruction Multiple Data Stream)
This type of computer that has more than one processor and execute more than one instruction in parallel. This type of computer that is most widely used to build a parallel computer, even many supercomputer that implement this architecture, because the models and concepts that are not too complicated to understand.

D. Introduction to Programming Thread
A thread in computer programming is a relevant information about the use of a single program that can handle multiple users bersamaan.Thread This allows the program to determine how the user entered into the program in turn and the user will go back to using a different user. Multiple threads can run concurrently with other processes divides the resources into memory, while the other processes do not share it.

E. Introduction to Message Passing, Open MP
Message Passing is a form of communication used in parallel computing, OOT (Object Oriented Programming) or Object-Based Programming and communication interproses

F. Introduction to Programming CUDA GPU
Before I discuss about CUDA, I will discuss the first GPU. GPU refers to a specific processor for Memepercepat and change the memory to speed up image processing. The GPU itself is usually located on the graphics card or laptop computer
CUDA (Compute Unified Device Architecture) is a scheme that made by NVIDIA NVIDIA as the GPU (Graphic Processing Unit) capable of computing not only to graphics processing, but also for general purposes. So with the CUDA we can take advantage of multiple processors from NVIDIA to do the calculation process much ataunpun computing.


refrensi :–distributed-processing.html


Leave a Reply

Fill in your details below or click an icon to log in: Logo

You are commenting using your account. Log Out /  Change )

Google+ photo

You are commenting using your Google+ account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )


Connecting to %s

June 2014
« Apr    


%d bloggers like this: