PARALLEL COMPUTING:

This topic was represented by

Mariam Mwakisisile and
Abdallah R. Sasya.

Introduction.
The topic concerns about parallel computing. In early times many software were written in serial computation which means that it has to be run in a single computer having one CPU.
CPU Is an integrated electronic device which interprets instructions to the computer, performs the logical and arithmetic processing operations, and causes the input and output operations to occur.
It shows that only a single task was to be performed at a time and the execution process was one by one.
This process took a lot of time in performing one task there it came a concept of parallel computing which allows multiple work at a time. The concept of parallel computing wad introduced by American mathematician John Von Neumann in 1947. The idea of John was that different calculations can be performed on either the same or sets of data.
Parallel computer also need powerful computer which may posses two or more processors and the CP.
Computer which possess all these will be capable of saving time, solving large problem which are complex, Provide concurrency and also allows data sharing.

Challenges.
Applying and using parallel computing is expensive because it involves more hardware.
It sometimes increases traffic on the shared memory-CPUs path.
There must be a programmer to ensure correct access of global memory.

Conclusion .
Applying parallel computing is very important because the work will be simplified and performed well. In many companies which work with a large statistical data this is PC with the ability of performing many task at a time are to be used.
This is important to understand because sometimes we work with many data and find our self complaining with the speed of computer this may be one of the reasons that needs to be observed carefully. It also helps us to know that we can increase the performance of computer by adding processor or CPU which gives computers power.