Implicit parallelism

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In computer science, implicit parallelism is a characteristic of a programming language that allows a compiler to automatically exploit the parallelism inherent to the computations expressed by some of the language's constructs. A pure implicitly parallel language does not need special directives, operators or functions to enable parallel execution.

Some parallel programming languages with implicit parallelism are: HPF, ZPL, NESL and SISAL.

A programmer that writes implicitly parallel code does not need to worry about task division or process communication, focusing instead in the problem that his or her program is intended to solve. Implicit parallelism generally facilitates the design of parallel programs and therefore results in a substantial improvement of programmer productivity.

Languages with implicit parallelism reduce the control that the programmer has over the parallel execution of the program, resulting sometimes in less-than-optimal parallel efficiency.

Topics in Parallel Computing  v • d • e 
General High-performance computing
Parallelism Data parallelism • Task parallelism
Theory Speedup • Amdahl's law • Flynn's Taxonomy • Cost efficiency • Gustafson's Law • Karp-Flatt Metric
Elements Process • Thread • Fiber • Parallel Random Access Machine
Coordination Multiprocessing • Multitasking • Memory coherency • Cache coherency • Barrier • Synchronization • Distributed computing • Grid computing
Programming Programming model • Implicit parallelism • Explicit parallelism
Hardware Computer cluster • Beowulf • Symmetric multiprocessing • Non-Uniform Memory Access • Cache only memory architecture • Asymmetric multiprocessing • Simultaneous multithreading • Shared memory • Distributed memory • Massively parallel processing • Superscalar processing • Vector processing • Supercomputer
Software Distributed shared memory • Application checkpointing
APIs Pthreads • OpenMP • Message Passing Interface (MPI)
Problems Embarrassingly parallel • Grand Challenge


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