FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2605368052> ?p ?o ?g. }

• W2605368052 endingPage "65" @default.
• W2605368052 startingPage "60" @default.
• W2605368052 abstract "Recently Graphics Processing Units (GPUs) have been used to speed up very CPU-intensive gravitational microlensing simulations. In this work, we use the Xeon Phi coprocessor to accelerate such simulations and compare its performance on a microlensing code with that of NVIDIA’s GPUs. For the selected set of parameters evaluated in our experiment, we find that the speedup by Intel’s Knights Corner coprocessor is comparable to that by NVIDIA’s Fermi family of GPUs with compute capability 2.0, but less significant than GPUs with higher compute capabilities such as the Kepler. However, the very recently released second generation Xeon Phi, Knights Landing, is about 5.8 times faster than the Knights Corner, and about 2.9 times faster than the Kepler GPU used in our simulations. We conclude that the Xeon Phi is a very promising alternative to GPUs for modern high performance microlensing simulations." @default.
• W2605368052 created "2017-04-14" @default.
• W2605368052 creator A5033577148 @default.
• W2605368052 creator A5045799619 @default.
• W2605368052 creator A5067151552 @default.
• W2605368052 creator A5079502155 @default.
• W2605368052 creator A5086733446 @default.
• W2605368052 date "2017-04-01" @default.
• W2605368052 modified "2023-09-26" @default.
• W2605368052 title "Accelerating gravitational microlensing simulations using the Xeon Phi coprocessor" @default.
• W2605368052 cites W1530348136 @default.
• W2605368052 cites W1930684022 @default.
• W2605368052 cites W1969206944 @default.
• W2605368052 cites W1971937422 @default.
• W2605368052 cites W1976824769 @default.
• W2605368052 cites W1982138998 @default.
• W2605368052 cites W1982987546 @default.
• W2605368052 cites W1986909595 @default.
• W2605368052 cites W1992661172 @default.
• W2605368052 cites W1993209564 @default.
• W2605368052 cites W2002590743 @default.
• W2605368052 cites W2012173295 @default.
• W2605368052 cites W2024227900 @default.
• W2605368052 cites W2031239051 @default.
• W2605368052 cites W2048679545 @default.
• W2605368052 cites W2060595626 @default.
• W2605368052 cites W2067433171 @default.
• W2605368052 cites W2068306188 @default.
• W2605368052 cites W2068399357 @default.
• W2605368052 cites W2074795523 @default.
• W2605368052 cites W2085476359 @default.
• W2605368052 cites W2091867031 @default.
• W2605368052 cites W2155897874 @default.
• W2605368052 cites W2184704897 @default.
• W2605368052 cites W2259637532 @default.
• W2605368052 cites W3098887528 @default.
• W2605368052 cites W3100206836 @default.
• W2605368052 cites W3100942922 @default.
• W2605368052 cites W3101609523 @default.
• W2605368052 cites W3102060782 @default.
• W2605368052 cites W3103349411 @default.
• W2605368052 cites W3104895996 @default.
• W2605368052 cites W3124284607 @default.
• W2605368052 doi "https://doi.org/10.1016/j.ascom.2017.03.005" @default.
• W2605368052 hasPublicationYear "2017" @default.
• W2605368052 type Work @default.
• W2605368052 sameAs 2605368052 @default.
• W2605368052 citedByCount "4" @default.
• W2605368052 countsByYear W26053680522018 @default.
• W2605368052 countsByYear W26053680522020 @default.
• W2605368052 countsByYear W26053680522021 @default.
• W2605368052 countsByYear W26053680522022 @default.
• W2605368052 crossrefType "journal-article" @default.
• W2605368052 hasAuthorship W2605368052A5033577148 @default.
• W2605368052 hasAuthorship W2605368052A5045799619 @default.
• W2605368052 hasAuthorship W2605368052A5067151552 @default.
• W2605368052 hasAuthorship W2605368052A5079502155 @default.
• W2605368052 hasAuthorship W2605368052A5086733446 @default.
• W2605368052 hasBestOaLocation W26053680521 @default.
• W2605368052 hasConcept C121332964 @default.
• W2605368052 hasConcept C125125069 @default.
• W2605368052 hasConcept C130726490 @default.
• W2605368052 hasConcept C150846664 @default.
• W2605368052 hasConcept C173608175 @default.
• W2605368052 hasConcept C2778119891 @default.
• W2605368052 hasConcept C31972630 @default.
• W2605368052 hasConcept C41008148 @default.
• W2605368052 hasConcept C44870925 @default.
• W2605368052 hasConcept C459310 @default.
• W2605368052 hasConcept C68339613 @default.
• W2605368052 hasConcept C86111242 @default.
• W2605368052 hasConcept C96972482 @default.
• W2605368052 hasConceptScore W2605368052C121332964 @default.
• W2605368052 hasConceptScore W2605368052C125125069 @default.
• W2605368052 hasConceptScore W2605368052C130726490 @default.
• W2605368052 hasConceptScore W2605368052C150846664 @default.
• W2605368052 hasConceptScore W2605368052C173608175 @default.
• W2605368052 hasConceptScore W2605368052C2778119891 @default.
• W2605368052 hasConceptScore W2605368052C31972630 @default.
• W2605368052 hasConceptScore W2605368052C41008148 @default.
• W2605368052 hasConceptScore W2605368052C44870925 @default.
• W2605368052 hasConceptScore W2605368052C459310 @default.
• W2605368052 hasConceptScore W2605368052C68339613 @default.
• W2605368052 hasConceptScore W2605368052C86111242 @default.
• W2605368052 hasConceptScore W2605368052C96972482 @default.
• W2605368052 hasFunder F4320306084 @default.
• W2605368052 hasLocation W26053680521 @default.
• W2605368052 hasLocation W26053680522 @default.
• W2605368052 hasLocation W26053680523 @default.
• W2605368052 hasLocation W26053680524 @default.
• W2605368052 hasOpenAccess W2605368052 @default.
• W2605368052 hasPrimaryLocation W26053680521 @default.
• W2605368052 hasRelatedWork W1978663335 @default.
• W2605368052 hasRelatedWork W2047434891 @default.
• W2605368052 hasRelatedWork W2090113247 @default.
• W2605368052 hasRelatedWork W2170507620 @default.
• W2605368052 hasRelatedWork W2256606255 @default.
• W2605368052 hasRelatedWork W2947459586 @default.

• next