About: XMTC     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : dbo:ProgrammingLanguage, within Data Space : dbpedia.org associated with source document(s)
QRcode icon
http://dbpedia.org/describe/?url=http%3A%2F%2Fdbpedia.org%2Fresource%2FXMTC&graph=http%3A%2F%2Fdbpedia.org&graph=http%3A%2F%2Fdbpedia.org

XMTC (for explicit multi-threading C) is a shared-memory parallel programming language. It is an extension of the C programming language which strives to enable easy PRAM-like programming based on the explicit multi-threading paradigm. It is developed as part of the XMT PRAM-On-Chip vision by a research team at the University of Maryland, College Park, led by Dr. Uzi Vishkin. Software release of XMTC: PRAM-like programming allows experimenting with XMTC programming on standard computers. * v * t * e

AttributesValues
rdf:type
rdfs:label
  • XMTC (en)
rdfs:comment
  • XMTC (for explicit multi-threading C) is a shared-memory parallel programming language. It is an extension of the C programming language which strives to enable easy PRAM-like programming based on the explicit multi-threading paradigm. It is developed as part of the XMT PRAM-On-Chip vision by a research team at the University of Maryland, College Park, led by Dr. Uzi Vishkin. Software release of XMTC: PRAM-like programming allows experimenting with XMTC programming on standard computers. * v * t * e (en)
dcterms:subject
Wikipage page ID
Wikipage revision ID
Link from a Wikipage to another Wikipage
Link from a Wikipage to an external page
sameAs
dbp:wikiPageUsesTemplate
has abstract
  • XMTC (for explicit multi-threading C) is a shared-memory parallel programming language. It is an extension of the C programming language which strives to enable easy PRAM-like programming based on the explicit multi-threading paradigm. It is developed as part of the XMT PRAM-On-Chip vision by a research team at the University of Maryland, College Park, led by Dr. Uzi Vishkin. The philosophy of XMTC and the whole XMT project is that parallel programming is a hard intellectual task and the approach of building a hardware system first and then figuring out how to program them has not had much success. For that reason a robust algorithmic theory and a reasonably easy hardware abstraction should be the specifications that guide how to build a new parallel architecture and programming language. For parallel algorithms the algorithmic theory that has the largest body of literature is called PRAM (parallel random-access machine ). This is not a coincidence, since PRAM is a natural way in which to think algorithmically in parallel. In the early 1990s the PRAM model was deemed unrealistic because the hardware abstraction it was based on could not be implemented (because of low inter-chip bandwidth and high latency). Now that multiple processors can be put on a single chip, these limitations are no longer present. The XMT architecture takes advantage of this excess on-chip real estate to implement a PRAM abstraction. The XMTC language is a modest extension of C and a work in progress. The basic premise is that the programmer is responsible for exposing all the available parallelism. While this sounds simple and many earlier approaches share this ideal, in practice, if the programmer defines too large a number of parallel tasks and the tasks are short, the program will perform very poorly. The way around that is to combine short parallel tasks into a longer one, which is usually the responsibility of the programmer. In XMTC it is possible for the language to do that automatically, lifting the burden from the programmer. Software release of XMTC: PRAM-like programming allows experimenting with XMTC programming on standard computers. * v * t * e (en)
gold:hypernym
prov:wasDerivedFrom
page length (characters) of wiki page
foaf:isPrimaryTopicOf
is Link from a Wikipage to another Wikipage of
is foaf:primaryTopic of
Faceted Search & Find service v1.17_git139 as of Feb 29 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 08.03.3330 as of Mar 19 2024, on Linux (x86_64-generic-linux-glibc212), Single-Server Edition (62 GB total memory, 40 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software