The primary goal of parallel computing is to increase the computational power available to your essential applications. Typically, This infrastructure is where the set of processors are present on a server, or separate servers are connected to each other to solve a computational problem.
In the earliest computer software, that executes a single instruction (having a single Central Processing Unit (CPU)) at a time that has written for serial computation. A Problem is broken down into multiple series of instructions, and that Instructions executed one after another. Only one computational instruction complete at a time.
Main Reasons to use Parallel Computing is that:
- Save time and money.
- Solve larger problems.
- Provide concurrency.
- Multiple execution units
Types of parallel computing Bit-level parallelism
In the Bit-level parallelism every task is running on the processor level and depends on processor word size (32-bit, 64-bit, etc.) and we need to divide the maximum size of instruction into multiple series of instructions in the tasks. For Example, if we want to do an operation on 16-bit numbers in the 8-bit processor, then we would require dividing the process into two 8 bit operations.
1. Instruction-level parallelism (ILP)
Instruction-level parallelism (ILP) is running on the hardware level (dynamic parallelism), and it includes how many instructions executed simultaneously in a single CPU clock cycle.
2. Data Parallelism
The multiprocessor system can execute a single set of instructions (SIMD), data parallelism achieved when several processors simultaneously perform the same task on the separate section of the distributed data.
4. Task Parallelism
Task parallelism is the parallelism in which tasks are splitting up between the processors to perform at once.
5. Hardware architecture of parallel computing
The hardware architecture of parallel computing is disturbed along the following categories as given below :
- Single-instruction, single-data (SISD) systems
- Single-instruction, multiple-data (SIMD) systems
- Multiple-instruction, single-data (MISD) systems
- Multiple-instruction, multiple-data (MIMD) systems