Matches in SemOpenAlex for { <https://semopenalex.org/work/W2080852813> ?p ?o ?g. }
Showing items 1 to 96 of
96
with 100 items per page.
- W2080852813 endingPage "24" @default.
- W2080852813 startingPage "1" @default.
- W2080852813 abstract "The Process Networks (PNs) is a suitable parallel model of computation (MoC) used to specify embedded streaming applications in a parallel form facilitating the efficient mapping onto embedded parallel execution platforms. Unfortunately, specifying an application using a parallel MoC is a very difficult and highly error-prone task. To overcome the associated difficulties, we have developed the pn compiler, which derives specific Polyhedral Process Networks (PPN) parallel specifications from sequential static affine nested loop programs (SANLPs). However, there are many applications, for example, multimedia applications (MPEG coders/decoders, smart cameras, etc.) that have adaptive and dynamic behavior which cannot be expressed as SANLPs. Therefore, in order to handle dynamic multimedia applications, in this article we address the important question whether we can relax some of the restrictions of the SANLPs while keeping the ability to perform compile-time analysis and to derive PPNs. Achieving this would significantly extend the range of applications that can be parallelized in an automated way. The main contribution of this article is a first approach for automated translation of affine nested loop programs with dynamic loop bounds into input-output equivalent Polyhedral Process Networks. In addition, we present a method for analyzing the execution overhead introduced in the PPNs derived from programs with dynamic loop bounds. The presented automated translation approach has been evaluated by deriving a PPN parallel specification from a real-life application called Low Speed Obstacle Detection (LSOD) used in the smart cameras domain. By executing the derived PPN, we have obtained results which indicate that the approach we present in this article facilitates efficient parallel implementations of sequential nested loop programs with dynamic loop bounds. That is, our approach reveals the possible parallelism available in such applications, which allows for the utilization of multiple cores in an efficient way." @default.
- W2080852813 created "2016-06-24" @default.
- W2080852813 creator A5024603788 @default.
- W2080852813 creator A5076687616 @default.
- W2080852813 creator A5084996361 @default.
- W2080852813 date "2013-11-01" @default.
- W2080852813 modified "2023-09-23" @default.
- W2080852813 title "Automated generation of polyhedral process networks from affine nested-loop programs with dynamic loop bounds" @default.
- W2080852813 cites W1486623318 @default.
- W2080852813 cites W1598202309 @default.
- W2080852813 cites W1974386461 @default.
- W2080852813 cites W1976397984 @default.
- W2080852813 cites W2078738604 @default.
- W2080852813 cites W2090347009 @default.
- W2080852813 cites W2101105147 @default.
- W2080852813 cites W2101631461 @default.
- W2080852813 cites W2108662993 @default.
- W2080852813 cites W2114758860 @default.
- W2080852813 cites W2130219663 @default.
- W2080852813 cites W2155632873 @default.
- W2080852813 cites W2160337655 @default.
- W2080852813 cites W2160737725 @default.
- W2080852813 cites W2161242733 @default.
- W2080852813 cites W2340604309 @default.
- W2080852813 doi "https://doi.org/10.1145/2536747.2536750" @default.
- W2080852813 hasPublicationYear "2013" @default.
- W2080852813 type Work @default.
- W2080852813 sameAs 2080852813 @default.
- W2080852813 citedByCount "5" @default.
- W2080852813 countsByYear W20808528132012 @default.
- W2080852813 countsByYear W20808528132019 @default.
- W2080852813 countsByYear W20808528132020 @default.
- W2080852813 countsByYear W20808528132021 @default.
- W2080852813 crossrefType "journal-article" @default.
- W2080852813 hasAuthorship W2080852813A5024603788 @default.
- W2080852813 hasAuthorship W2080852813A5076687616 @default.
- W2080852813 hasAuthorship W2080852813A5084996361 @default.
- W2080852813 hasConcept C113391598 @default.
- W2080852813 hasConcept C113775141 @default.
- W2080852813 hasConcept C114614502 @default.
- W2080852813 hasConcept C118615104 @default.
- W2080852813 hasConcept C120314980 @default.
- W2080852813 hasConcept C1306188 @default.
- W2080852813 hasConcept C134718785 @default.
- W2080852813 hasConcept C145691206 @default.
- W2080852813 hasConcept C169590947 @default.
- W2080852813 hasConcept C173608175 @default.
- W2080852813 hasConcept C184670325 @default.
- W2080852813 hasConcept C199360897 @default.
- W2080852813 hasConcept C202444582 @default.
- W2080852813 hasConcept C2779960059 @default.
- W2080852813 hasConcept C33923547 @default.
- W2080852813 hasConcept C41008148 @default.
- W2080852813 hasConcept C82653869 @default.
- W2080852813 hasConcept C92757383 @default.
- W2080852813 hasConcept C98045186 @default.
- W2080852813 hasConceptScore W2080852813C113391598 @default.
- W2080852813 hasConceptScore W2080852813C113775141 @default.
- W2080852813 hasConceptScore W2080852813C114614502 @default.
- W2080852813 hasConceptScore W2080852813C118615104 @default.
- W2080852813 hasConceptScore W2080852813C120314980 @default.
- W2080852813 hasConceptScore W2080852813C1306188 @default.
- W2080852813 hasConceptScore W2080852813C134718785 @default.
- W2080852813 hasConceptScore W2080852813C145691206 @default.
- W2080852813 hasConceptScore W2080852813C169590947 @default.
- W2080852813 hasConceptScore W2080852813C173608175 @default.
- W2080852813 hasConceptScore W2080852813C184670325 @default.
- W2080852813 hasConceptScore W2080852813C199360897 @default.
- W2080852813 hasConceptScore W2080852813C202444582 @default.
- W2080852813 hasConceptScore W2080852813C2779960059 @default.
- W2080852813 hasConceptScore W2080852813C33923547 @default.
- W2080852813 hasConceptScore W2080852813C41008148 @default.
- W2080852813 hasConceptScore W2080852813C82653869 @default.
- W2080852813 hasConceptScore W2080852813C92757383 @default.
- W2080852813 hasConceptScore W2080852813C98045186 @default.
- W2080852813 hasIssue "1s" @default.
- W2080852813 hasLocation W20808528131 @default.
- W2080852813 hasOpenAccess W2080852813 @default.
- W2080852813 hasPrimaryLocation W20808528131 @default.
- W2080852813 hasRelatedWork W159122881 @default.
- W2080852813 hasRelatedWork W2008133760 @default.
- W2080852813 hasRelatedWork W2052992886 @default.
- W2080852813 hasRelatedWork W2069314274 @default.
- W2080852813 hasRelatedWork W2080027614 @default.
- W2080852813 hasRelatedWork W2165782970 @default.
- W2080852813 hasRelatedWork W2386110606 @default.
- W2080852813 hasRelatedWork W3019964433 @default.
- W2080852813 hasRelatedWork W3141397971 @default.
- W2080852813 hasRelatedWork W2102565743 @default.
- W2080852813 hasVolume "13" @default.
- W2080852813 isParatext "false" @default.
- W2080852813 isRetracted "false" @default.
- W2080852813 magId "2080852813" @default.
- W2080852813 workType "article" @default.