Matches in SemOpenAlex for { <https://semopenalex.org/work/W2891713251> ?p ?o ?g. }
Showing items 1 to 81 of
81
with 100 items per page.
- W2891713251 abstract "Web services have become a common means of addressing distributed task execution. There are several such services available at present that cater to the requirements in the domain of bioinformatics. However, it is challenging to find efforts made to utilize Graphics Processing Unit (GPU) accelerated binaries to optimize web services for bioinformatics analyses. Most of the bioinformatics related algorithms are compute-intensive due to their exponential time complexities. Corresponding execution times are further increased as the sequence databases grow rapidly. However, harnessing parallel computational power gives us a pathway to execute these algorithms and allows us to obtain results from web services more efficiently. The work presented in this paper demonstrates the utilization of web services to provide GPU accelerated bioinformatics computations for analytical purposes. A unified service platform is developed in the form of a collection of web services. It utilizes both GPU and CPU processing in order to perform compute-intensive tasks related to biological data analysis. Furthermore, the evaluation results show gains in speed over three folds with improving performance as the length of queries increases." @default.
- W2891713251 created "2018-09-27" @default.
- W2891713251 creator A5008036750 @default.
- W2891713251 creator A5019627096 @default.
- W2891713251 creator A5020197064 @default.
- W2891713251 creator A5039351950 @default.
- W2891713251 creator A5081071882 @default.
- W2891713251 date "2018-07-27" @default.
- W2891713251 modified "2023-10-14" @default.
- W2891713251 title "Efficient Bioinformatics Computations through GPU Accelerated Web Services" @default.
- W2891713251 cites W1996925142 @default.
- W2891713251 cites W2011652244 @default.
- W2891713251 cites W2024872854 @default.
- W2891713251 cites W2037748100 @default.
- W2891713251 cites W2055043387 @default.
- W2891713251 cites W2065461987 @default.
- W2891713251 cites W2096041635 @default.
- W2891713251 cites W2113669223 @default.
- W2891713251 cites W2116508956 @default.
- W2891713251 cites W2120644107 @default.
- W2891713251 cites W2136482257 @default.
- W2891713251 cites W2142678478 @default.
- W2891713251 cites W2168103533 @default.
- W2891713251 cites W2771616701 @default.
- W2891713251 cites W4250981202 @default.
- W2891713251 doi "https://doi.org/10.1145/3242840.3242848" @default.
- W2891713251 hasPublicationYear "2018" @default.
- W2891713251 type Work @default.
- W2891713251 sameAs 2891713251 @default.
- W2891713251 citedByCount "6" @default.
- W2891713251 countsByYear W28917132512018 @default.
- W2891713251 countsByYear W28917132512019 @default.
- W2891713251 countsByYear W28917132512021 @default.
- W2891713251 countsByYear W28917132512022 @default.
- W2891713251 crossrefType "proceedings-article" @default.
- W2891713251 hasAuthorship W2891713251A5008036750 @default.
- W2891713251 hasAuthorship W2891713251A5019627096 @default.
- W2891713251 hasAuthorship W2891713251A5020197064 @default.
- W2891713251 hasAuthorship W2891713251A5039351950 @default.
- W2891713251 hasAuthorship W2891713251A5081071882 @default.
- W2891713251 hasConcept C121684516 @default.
- W2891713251 hasConcept C136764020 @default.
- W2891713251 hasConcept C173608175 @default.
- W2891713251 hasConcept C199360897 @default.
- W2891713251 hasConcept C21442007 @default.
- W2891713251 hasConcept C35578498 @default.
- W2891713251 hasConcept C41008148 @default.
- W2891713251 hasConcept C45374587 @default.
- W2891713251 hasConcept C459310 @default.
- W2891713251 hasConcept C50630238 @default.
- W2891713251 hasConcept C60644358 @default.
- W2891713251 hasConcept C86803240 @default.
- W2891713251 hasConceptScore W2891713251C121684516 @default.
- W2891713251 hasConceptScore W2891713251C136764020 @default.
- W2891713251 hasConceptScore W2891713251C173608175 @default.
- W2891713251 hasConceptScore W2891713251C199360897 @default.
- W2891713251 hasConceptScore W2891713251C21442007 @default.
- W2891713251 hasConceptScore W2891713251C35578498 @default.
- W2891713251 hasConceptScore W2891713251C41008148 @default.
- W2891713251 hasConceptScore W2891713251C45374587 @default.
- W2891713251 hasConceptScore W2891713251C459310 @default.
- W2891713251 hasConceptScore W2891713251C50630238 @default.
- W2891713251 hasConceptScore W2891713251C60644358 @default.
- W2891713251 hasConceptScore W2891713251C86803240 @default.
- W2891713251 hasLocation W28917132511 @default.
- W2891713251 hasOpenAccess W2891713251 @default.
- W2891713251 hasPrimaryLocation W28917132511 @default.
- W2891713251 hasRelatedWork W1955619021 @default.
- W2891713251 hasRelatedWork W2073045545 @default.
- W2891713251 hasRelatedWork W2095778784 @default.
- W2891713251 hasRelatedWork W233319966 @default.
- W2891713251 hasRelatedWork W2353588084 @default.
- W2891713251 hasRelatedWork W2397003076 @default.
- W2891713251 hasRelatedWork W29010831 @default.
- W2891713251 hasRelatedWork W3013976982 @default.
- W2891713251 hasRelatedWork W3125884253 @default.
- W2891713251 hasRelatedWork W2183164590 @default.
- W2891713251 isParatext "false" @default.
- W2891713251 isRetracted "false" @default.
- W2891713251 magId "2891713251" @default.
- W2891713251 workType "article" @default.