Examples of Implicit Parallelism
- Pipelining: Pipelining is an example of implicit parallelism that is being used by the processors to execute multiple instructions simultaneously. In the process of pipelining each stage of execution is performed in parallel with other instructions.
- Multithreading: Multithreading is defined as a process of executing multiple threads in a single process. Every process has its own instructions and can be executed independently of the other threads. Multithreading is commonly used in parallel processing applications.
- Vectorization: Vectorization is the technique used for optimizing the code in order to execute it on the processors that supports Single Instruction and Multiple Data Instructions. It allows performing the same operation on multiple data elements at the same time.
- Out-of-Order: Out-of-Order is a technique being used by the processors for the execution of instructions that maximizes parallelism. In this technique, instructions are executed as soon as the required operands are available instead of the order in which the operands appear in the program.
Difference Between Implicit Parallelism and Explicit Parallelism in Parallel Computing
Implicit Parallelism is defined as a parallelism technique where parallelism is automatically exploited by the compiler or interpreter. The objective of implicit parallelism is the parallel execution of code in the runtime environment. In implicit parallelism, parallelism is being carried out without explicitly mentioning how the computations are parallelized. The compiler assigns the resources to target machines for performing parallel operations. Implicit parallelism requires less programming effort and has applications in shared memory multiprocessors.