What is Explicit Parallelism?
Explicit Parallelism is defined as a parallelism technique where concurrent operations are executed parallel with the help of primitives that are known as special purpose directives or function calls. In explicit parallelism. In Explicit parallelism, the compiler does not detect the parallelism for the allocation of resources. The programming efforts required in explicit parallelism are more as compared to implicit parallelism as the execution of concurrent tasks takes place manually depending upon the source code developed by the programmer. The resources are being utilized more efficiently in explicit parallelism and have applications in loosely coupled multiprocessors.
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.