Matches in SemOpenAlex for { <https://semopenalex.org/work/W2885398328> ?p ?o ?g. }
Showing items 1 to 97 of
97
with 100 items per page.
- W2885398328 abstract "Since it is difficult to explicitly express the underlying relationship between a code and appropriate optimizations for it, this paper discusses a possibility of using machine learning to predict appropriate optimizations for a given code. In this paper, selection of appropriate compiler options is taken as an example of the prediction, because it can be seen as selection of code optimizations; use of different compiler options results in enabling different compiler optimizations. One severe problem is that it is difficult to collect a sufficient number of data for a machine learning model to well understand the underlying relationships among codes and their appropriate optimizations. Therefore, in addition to conventional features of a code, such as profiling data and parameterized code features, we directly use a code structure itself to retrieve more information from a limited number of codes. The evaluation results suggest that use of code structural features can potentially improve the prediction accuracy if the training dataset contains data of similar code structures." @default.
- W2885398328 created "2018-08-22" @default.
- W2885398328 creator A5011172934 @default.
- W2885398328 creator A5033954091 @default.
- W2885398328 creator A5051997684 @default.
- W2885398328 creator A5073353406 @default.
- W2885398328 creator A5075275705 @default.
- W2885398328 date "2018-05-01" @default.
- W2885398328 modified "2023-10-07" @default.
- W2885398328 title "Use of Code Structural Features for Machine Learning to Predict Effective Optimizations" @default.
- W2885398328 cites W1498436455 @default.
- W2885398328 cites W1557212109 @default.
- W2885398328 cites W2076290291 @default.
- W2885398328 cites W2101807486 @default.
- W2885398328 cites W2112121929 @default.
- W2885398328 cites W2142079700 @default.
- W2885398328 cites W2143124065 @default.
- W2885398328 cites W2147623728 @default.
- W2885398328 cites W2153579005 @default.
- W2885398328 cites W2574532316 @default.
- W2885398328 cites W2733116932 @default.
- W2885398328 cites W2919115771 @default.
- W2885398328 cites W2963371736 @default.
- W2885398328 cites W83535271 @default.
- W2885398328 doi "https://doi.org/10.1109/ipdpsw.2018.00163" @default.
- W2885398328 hasPublicationYear "2018" @default.
- W2885398328 type Work @default.
- W2885398328 sameAs 2885398328 @default.
- W2885398328 citedByCount "1" @default.
- W2885398328 countsByYear W28853983282018 @default.
- W2885398328 crossrefType "proceedings-article" @default.
- W2885398328 hasAuthorship W2885398328A5011172934 @default.
- W2885398328 hasAuthorship W2885398328A5033954091 @default.
- W2885398328 hasAuthorship W2885398328A5051997684 @default.
- W2885398328 hasAuthorship W2885398328A5073353406 @default.
- W2885398328 hasAuthorship W2885398328A5075275705 @default.
- W2885398328 hasConcept C11413529 @default.
- W2885398328 hasConcept C119857082 @default.
- W2885398328 hasConcept C133162039 @default.
- W2885398328 hasConcept C151578736 @default.
- W2885398328 hasConcept C154945302 @default.
- W2885398328 hasConcept C165464430 @default.
- W2885398328 hasConcept C169590947 @default.
- W2885398328 hasConcept C177264268 @default.
- W2885398328 hasConcept C187191949 @default.
- W2885398328 hasConcept C190902152 @default.
- W2885398328 hasConcept C199360897 @default.
- W2885398328 hasConcept C2144512 @default.
- W2885398328 hasConcept C26517878 @default.
- W2885398328 hasConcept C2776760102 @default.
- W2885398328 hasConcept C38652104 @default.
- W2885398328 hasConcept C41008148 @default.
- W2885398328 hasConcept C43126263 @default.
- W2885398328 hasConceptScore W2885398328C11413529 @default.
- W2885398328 hasConceptScore W2885398328C119857082 @default.
- W2885398328 hasConceptScore W2885398328C133162039 @default.
- W2885398328 hasConceptScore W2885398328C151578736 @default.
- W2885398328 hasConceptScore W2885398328C154945302 @default.
- W2885398328 hasConceptScore W2885398328C165464430 @default.
- W2885398328 hasConceptScore W2885398328C169590947 @default.
- W2885398328 hasConceptScore W2885398328C177264268 @default.
- W2885398328 hasConceptScore W2885398328C187191949 @default.
- W2885398328 hasConceptScore W2885398328C190902152 @default.
- W2885398328 hasConceptScore W2885398328C199360897 @default.
- W2885398328 hasConceptScore W2885398328C2144512 @default.
- W2885398328 hasConceptScore W2885398328C26517878 @default.
- W2885398328 hasConceptScore W2885398328C2776760102 @default.
- W2885398328 hasConceptScore W2885398328C38652104 @default.
- W2885398328 hasConceptScore W2885398328C41008148 @default.
- W2885398328 hasConceptScore W2885398328C43126263 @default.
- W2885398328 hasLocation W28853983281 @default.
- W2885398328 hasOpenAccess W2885398328 @default.
- W2885398328 hasPrimaryLocation W28853983281 @default.
- W2885398328 hasRelatedWork W1496697599 @default.
- W2885398328 hasRelatedWork W1503172919 @default.
- W2885398328 hasRelatedWork W1586396099 @default.
- W2885398328 hasRelatedWork W1964418935 @default.
- W2885398328 hasRelatedWork W2018376578 @default.
- W2885398328 hasRelatedWork W2052902739 @default.
- W2885398328 hasRelatedWork W2164324468 @default.
- W2885398328 hasRelatedWork W2247441364 @default.
- W2885398328 hasRelatedWork W2395588937 @default.
- W2885398328 hasRelatedWork W2577374921 @default.
- W2885398328 hasRelatedWork W2592125937 @default.
- W2885398328 hasRelatedWork W2790180306 @default.
- W2885398328 hasRelatedWork W3043267069 @default.
- W2885398328 hasRelatedWork W3158709324 @default.
- W2885398328 hasRelatedWork W3177412408 @default.
- W2885398328 hasRelatedWork W3195958055 @default.
- W2885398328 hasRelatedWork W3207813833 @default.
- W2885398328 hasRelatedWork W69462989 @default.
- W2885398328 hasRelatedWork W77208074 @default.
- W2885398328 hasRelatedWork W1661546922 @default.
- W2885398328 isParatext "false" @default.
- W2885398328 isRetracted "false" @default.
- W2885398328 magId "2885398328" @default.
- W2885398328 workType "article" @default.