Jumat, 20 Juni 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.
Parallel concept
The concept of parallel is a processors 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.
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.
Architectural Parallel
Computer
According to a Processor Designer, taxonomy Flynn, Computer
Architecture is divided into four sections.
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 one 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.
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
simultaneously.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.
Introduction to
Programming CUDA GPU
GPU
Refers to a specific processor GPU to accelerate 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 created by
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 or computing.
REFFERENCE
>> http://uchaaii.blogspot.com/2013/07/parallel-computation.html
