Matches in SemOpenAlex for { <https://semopenalex.org/work/W2028303621> ?p ?o ?g. }
Showing items 1 to 91 of
91
with 100 items per page.
- W2028303621 abstract "GPUs can accelerate edge scan performance of graph processing applications; however, the capacity of device memory on GPUs limits the size of graph to process, whereas efficient techniques to handle GPU memory overflows, including overflow detection and performance analysis in large-scale systems, are not well investigated. To address the problem, we propose a MapReduce-based out-of-core GPU memory management technique for processing large-scale graph applications on heterogeneous GPU-based supercomputers. Our proposed technique automatically handles memory overflows from GPUs by dynamically dividing graph data into multiple chunks and overlaps CPU-GPU data transfer and computation on GPUs as much as possible. Our experimental results on TSUBAME2.5 using 1024 nodes (12288 CPU cores, 3072 GPUs) exhibit that our GPU-based implementation performs 2.10x faster than running on CPU when graph data size does not fit on GPUs. We also study the performance characteristics of our proposed out-of-core GPU memory management technique, including application's performance and power efficiency of scale-up and scale-out approaches." @default.
- W2028303621 created "2016-06-24" @default.
- W2028303621 creator A5017240065 @default.
- W2028303621 creator A5080099014 @default.
- W2028303621 creator A5081629487 @default.
- W2028303621 date "2014-09-01" @default.
- W2028303621 modified "2023-10-01" @default.
- W2028303621 title "Out-of-core GPU memory management for MapReduce-based large-scale graph processing" @default.
- W2028303621 cites W1504291959 @default.
- W2028303621 cites W1575506266 @default.
- W2028303621 cites W1985291160 @default.
- W2028303621 cites W2006554829 @default.
- W2028303621 cites W2009347695 @default.
- W2028303621 cites W2050347695 @default.
- W2028303621 cites W2055497547 @default.
- W2028303621 cites W2056356667 @default.
- W2028303621 cites W2057317268 @default.
- W2028303621 cites W2066636486 @default.
- W2028303621 cites W2071819510 @default.
- W2028303621 cites W2085654200 @default.
- W2028303621 cites W2093739557 @default.
- W2028303621 cites W2095836023 @default.
- W2028303621 cites W2109473404 @default.
- W2028303621 cites W2118893477 @default.
- W2028303621 cites W2125977901 @default.
- W2028303621 cites W2127510911 @default.
- W2028303621 cites W2128653745 @default.
- W2028303621 cites W2134373412 @default.
- W2028303621 cites W2143114052 @default.
- W2028303621 cites W2156519507 @default.
- W2028303621 cites W2161190431 @default.
- W2028303621 cites W2166837162 @default.
- W2028303621 cites W2167927436 @default.
- W2028303621 cites W2334150052 @default.
- W2028303621 doi "https://doi.org/10.1109/cluster.2014.6968748" @default.
- W2028303621 hasPublicationYear "2014" @default.
- W2028303621 type Work @default.
- W2028303621 sameAs 2028303621 @default.
- W2028303621 citedByCount "12" @default.
- W2028303621 countsByYear W20283036212015 @default.
- W2028303621 countsByYear W20283036212016 @default.
- W2028303621 countsByYear W20283036212018 @default.
- W2028303621 countsByYear W20283036212019 @default.
- W2028303621 countsByYear W20283036212020 @default.
- W2028303621 countsByYear W20283036212021 @default.
- W2028303621 countsByYear W20283036212022 @default.
- W2028303621 crossrefType "proceedings-article" @default.
- W2028303621 hasAuthorship W2028303621A5017240065 @default.
- W2028303621 hasAuthorship W2028303621A5080099014 @default.
- W2028303621 hasAuthorship W2028303621A5081629487 @default.
- W2028303621 hasConcept C111919701 @default.
- W2028303621 hasConcept C132525143 @default.
- W2028303621 hasConcept C173608175 @default.
- W2028303621 hasConcept C176649486 @default.
- W2028303621 hasConcept C21442007 @default.
- W2028303621 hasConcept C2778119891 @default.
- W2028303621 hasConcept C41008148 @default.
- W2028303621 hasConcept C49154492 @default.
- W2028303621 hasConcept C50630238 @default.
- W2028303621 hasConcept C78766204 @default.
- W2028303621 hasConcept C80444323 @default.
- W2028303621 hasConcept C98986596 @default.
- W2028303621 hasConceptScore W2028303621C111919701 @default.
- W2028303621 hasConceptScore W2028303621C132525143 @default.
- W2028303621 hasConceptScore W2028303621C173608175 @default.
- W2028303621 hasConceptScore W2028303621C176649486 @default.
- W2028303621 hasConceptScore W2028303621C21442007 @default.
- W2028303621 hasConceptScore W2028303621C2778119891 @default.
- W2028303621 hasConceptScore W2028303621C41008148 @default.
- W2028303621 hasConceptScore W2028303621C49154492 @default.
- W2028303621 hasConceptScore W2028303621C50630238 @default.
- W2028303621 hasConceptScore W2028303621C78766204 @default.
- W2028303621 hasConceptScore W2028303621C80444323 @default.
- W2028303621 hasConceptScore W2028303621C98986596 @default.
- W2028303621 hasLocation W20283036211 @default.
- W2028303621 hasOpenAccess W2028303621 @default.
- W2028303621 hasPrimaryLocation W20283036211 @default.
- W2028303621 hasRelatedWork W1464113540 @default.
- W2028303621 hasRelatedWork W1941712353 @default.
- W2028303621 hasRelatedWork W1977565676 @default.
- W2028303621 hasRelatedWork W2067902980 @default.
- W2028303621 hasRelatedWork W2077971802 @default.
- W2028303621 hasRelatedWork W2090660927 @default.
- W2028303621 hasRelatedWork W3016195538 @default.
- W2028303621 hasRelatedWork W4220702316 @default.
- W2028303621 hasRelatedWork W4309800273 @default.
- W2028303621 hasRelatedWork W4309892217 @default.
- W2028303621 isParatext "false" @default.
- W2028303621 isRetracted "false" @default.
- W2028303621 magId "2028303621" @default.
- W2028303621 workType "article" @default.