A complex computer task
can be broken down into tiny tasks and each of the tiny tasks can be
executed parallel to each other. Simultaneous execution of many
tasks is known as parallel processing. Instead of building one large
computer to carry out all the tasks, a set of small computers carry
out a task simultaneously. This becomes even more important as power
supply needs for very large computers cannot be met. Parallel
Computing can happen at the bit level or data level or instruction
level or task level.
It is easier to write
linear computing programs than parallel computing programs. As the
various sub tasks have to communicate and synchronize with each
other, it is difficult to code for a parallel computing program. The
complexity of coding for parallel computing is seen at all levels
such as deign, coding, tuning, maintenance, and debugging.
A consistency model or
memory model is defined for parallel computing. These models define
how computer memory works to produce the results.
PLC Technologies offers
projects and software development experience in parallel computing.
If you would like to do your final year projects at PLC visit Parallel Computing Final Year Project 2013.
You can mail to info@plctechnologies.in
or call 044-42005050/60.
