Difference between Sequential and Parallel Computing

Sequential Computing is the type of computing where one instruction is given at a particular time and the next instruction has to wait for the first instruction to execute. It is also known as a traditional computing method because all the instructions are executed in a sequence. It is having a single processor with low performance and high work-load of the processor. The main disadvantage of using this computing is that it takes more time as a single instruction is getting executed at a given point of time. 

To remove this disadvantage of sequential computing, parallel computing was introduced.

Parallel Computing is a type of computing where many calculations or the execution of the processes are carried out parallelly or simultaneously.  The type of computing where processes can execute simultaneously at a time is known as parallel computing.

It saves time as the processes are executed simultaneously. It solves larger problems. There are multiple processors with high performance and low work-load per processor.

Difference between Sequential Computing and Parallel Computing:

	Sequential Computing	Parallel Computing
1.	All the instructions are executed in a sequence, one at a time.	All the instructions are executed parallelly.
2.	It has a single processor.	It is having multiple processors.
3.	It has low performance and the workload of the processor is high due to the single processor.	It has high performance and the workload of the processor is low because multiple processors are working simultaneously.
4.	Bit-by-bit format is used for data transfer.	Data transfers are in bytes.
5.	It requires more time to complete the whole process.	It requires less time to complete the whole process.
6.	Cost is low	Cost is high