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== Advantages of Chapel Cray == | == Advantages of Chapel Cray == | ||
Other current parallel programming models are limited that they target to specific hardware and they only implement single type of parallelism. | Other current parallel programming models are limited that they target to specific hardware and they only implement single type of parallelism. | ||
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| + | * '''General Parallelism:''' Chapel has the goal of supporting any parallel algorithm you can conceive of on any parallel hardware you want to target. In particular, you should never hit a point where you think “Well, that was fun while it lasted, but now that I want to do x, I’d better go back to MPI.” | ||
| + | * '''Separation of Parallelism and Locality:''' Chapel supports distinct concepts for describing parallelism (“These things should run concurrently”) from locality (“This should be placed here; that should be placed over there”). This is in sharp contrast to conventional approaches that either conflate the two concepts or ignore locality altogether. | ||
| + | * '''Multiresolution Design:''' Chapel is designed to support programming at higher or lower levels, as required by the programmer. Moreover, higher-level features—like data distributions or parallel loop schedules—may be specified by advanced programmers within the language. | ||
| + | * '''Productivity Features:''' In addition to all of its features designed for supercomputers, Chapel also includes a number of sequential language features designed for productive programming. Examples include type inference, iterator functions, object-oriented programming, and a rich set of array types. The result combines productivity features as in Python™, Matlab®, or Java™ software with optimization opportunities as in Fortran or C. | ||
== Installation Process == | == Installation Process == | ||
Revision as of 15:34, 4 April 2016
Contents
Chapel Cray
Team Information
Introduction to Chapel
Chapel(Cascade High-Productivity Language) is an alternative parallel programming language that focuses on the productivity of high-end computing systems.
Advantages of Chapel Cray
Other current parallel programming models are limited that they target to specific hardware and they only implement single type of parallelism.
- General Parallelism: Chapel has the goal of supporting any parallel algorithm you can conceive of on any parallel hardware you want to target. In particular, you should never hit a point where you think “Well, that was fun while it lasted, but now that I want to do x, I’d better go back to MPI.”
- Separation of Parallelism and Locality: Chapel supports distinct concepts for describing parallelism (“These things should run concurrently”) from locality (“This should be placed here; that should be placed over there”). This is in sharp contrast to conventional approaches that either conflate the two concepts or ignore locality altogether.
- Multiresolution Design: Chapel is designed to support programming at higher or lower levels, as required by the programmer. Moreover, higher-level features—like data distributions or parallel loop schedules—may be specified by advanced programmers within the language.
- Productivity Features: In addition to all of its features designed for supercomputers, Chapel also includes a number of sequential language features designed for productive programming. Examples include type inference, iterator functions, object-oriented programming, and a rich set of array types. The result combines productivity features as in Python™, Matlab®, or Java™ software with optimization opportunities as in Fortran or C.
