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UPC: Difference between revisions

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Programming Language Extension. Unified Parallel C (UPC) is an extension of the C programming language designed for high-performance computing on large-scale parallel machines, including those with a common global address space (SMP and NUMA) and those with distributed memory (eg. clusters). The programmer is presented with a single shared, partitioned address space, where variables may be directly read and written by any processor, but each variable is physically associated with a single processor. More.
{{Infobox software
| description =  '''Unified Parallel C''' (UPC) is an extension of the C programming language designed for high-performance computing on large-scale parallel machines, including those with a common global address space (SMP and NUMA) and those with distributed memory (eg. clusters). The programmer is presented with a single shared, partitioned address space, where variables may be directly read and written by any processor, but each variable is physically associated with a single processor.
| developer              = UPC Consortium
| available on      = [[NEC Nehalem Cluster]]
| category                  = [[:Category:Language Extension | Language Extension]]
| license                =
| website                = [http://upc.gwu.edu/ UPC homepage]
}}
 
== Availability ==
 
Different UPC compilers are available. Availability depends on the specific platform.
 
* [[Berkeley UPC]]
* [[Cray UPC]] (only [[Cray XT5m]])
 
== See also ==
* [[Software Development Tools, Compilers & Libraries]]
 
== External links ==
* [http://upc.gwu.edu/ UPC homepage]
 
[[Category:Language Extension]]

Latest revision as of 13:33, 1 March 2010

Unified Parallel C (UPC) is an extension of the C programming language designed for high-performance computing on large-scale parallel machines, including those with a common global address space (SMP and NUMA) and those with distributed memory (eg. clusters). The programmer is presented with a single shared, partitioned address space, where variables may be directly read and written by any processor, but each variable is physically associated with a single processor.
Developer: UPC Consortium
Platforms: NEC Nehalem Cluster
Category: Language Extension
License:
Website: UPC homepage


Availability

Different UPC compilers are available. Availability depends on the specific platform.

See also

External links