github.com/Exascience/pargo
Package pargo provides functions and data structures for expressing parallel algorithms. While Go is primarily designed for concurrent programming, it is also usable to some extent for parallel programming, and this library provides convenience functionality to turn otherwise sequential algorithms into parallel algorithms, with the goal to improve performance. For documentation that provides a more structured overview than is possible with Godoc, see the wiki at https://github.com/exascience/pargo/wiki Pargo provides the following subpackages: pargo/parallel provides simple functions for executing series of thunks or predicates, as well as thunks, predicates, or reducers over ranges in parallel. See also https://github.com/ExaScience/pargo/wiki/TaskParallelism pargo/speculative provides speculative implementations of most of the functions from pargo/parallel. These implementations not only execute in parallel, but also attempt to terminate early as soon as the final result is known. See also https://github.com/ExaScience/pargo/wiki/TaskParallelism pargo/sequential provides sequential implementations of all functions from pargo/parallel, for testing and debugging purposes. pargo/sort provides parallel sorting algorithms. pargo/sync provides an efficient parallel map implementation. pargo/pipeline provides functions and data structures to construct and execute parallel pipelines. Pargo has been influenced to various extents by ideas from Cilk, Threading Building Blocks, and Java's java.util.concurrent and java.util.stream packages. See http://supertech.csail.mit.edu/papers/steal.pdf for some theoretical background, and the sample chapter at https://mitpress.mit.edu/books/introduction-algorithms for a more practical overview of the underlying concepts.
Readme
Package pargo provides functions and data structures for expressing parallel algorithms. While Go is primarily designed for concurrent programming, it is also usable to some extent for parallel programming, and this library provides convenience functionality to turn otherwise sequential algorithms into parallel algorithms, with the goal to improve performance.
Documentation: http://godoc.org/github.com/ExaScience/pargo and http://github.com/ExaScience/pargo/wiki
FAQs
Package pargo provides functions and data structures for expressing parallel algorithms. While Go is primarily designed for concurrent programming, it is also usable to some extent for parallel programming, and this library provides convenience functionality to turn otherwise sequential algorithms into parallel algorithms, with the goal to improve performance. For documentation that provides a more structured overview than is possible with Godoc, see the wiki at https://github.com/exascience/pargo/wiki Pargo provides the following subpackages: pargo/parallel provides simple functions for executing series of thunks or predicates, as well as thunks, predicates, or reducers over ranges in parallel. See also https://github.com/ExaScience/pargo/wiki/TaskParallelism pargo/speculative provides speculative implementations of most of the functions from pargo/parallel. These implementations not only execute in parallel, but also attempt to terminate early as soon as the final result is known. See also https://github.com/ExaScience/pargo/wiki/TaskParallelism pargo/sequential provides sequential implementations of all functions from pargo/parallel, for testing and debugging purposes. pargo/sort provides parallel sorting algorithms. pargo/sync provides an efficient parallel map implementation. pargo/pipeline provides functions and data structures to construct and execute parallel pipelines. Pargo has been influenced to various extents by ideas from Cilk, Threading Building Blocks, and Java's java.util.concurrent and java.util.stream packages. See http://supertech.csail.mit.edu/papers/steal.pdf for some theoretical background, and the sample chapter at https://mitpress.mit.edu/books/introduction-algorithms for a more practical overview of the underlying concepts.
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