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pro vyhledávání: '"Steve Hofmeyr"'
Autor:
Monica Hinga, Steve Hofmeyr, Humayra Tasnim, Kirtus Leyba, Judy L. Cannon, Akil Andrews, Stephanie Forrest, Melanie E. Moses, Vanessa Surdidijaja, Rebekah Gridley, Abigail Pribisova
Publikováno v:
PLoS Computational Biology
PLoS Computational Biology, Vol 17, Iss 12, p e1009735 (2021)
PLoS computational biology, vol 17, iss 12
PLoS Computational Biology, Vol 17, Iss 12, p e1009735 (2021)
PLoS computational biology, vol 17, iss 12
A key question in SARS-CoV-2 infection is why viral loads and patient outcomes vary dramatically across individuals. Because spatial-temporal dynamics of viral spread and immune response are challenging to study in vivo, we developed Spatial Immune M
Autor:
Steve Hofmeyr, B. van Straalen, John Bachan, Scott B. Baden, Paul Hargrove, Khaled Z. Ibrahim, Dan Bonachea, Amir Kamil, Mathias Jacquelin
Author(s): Bachan, J; Baden, S; Bonachea, Dan; Hargrove, Paul H; Hofmeyr, S; Ibrahim, Khaled; Jacquelin, M; Kamil, A; van Straalen, B | Abstract: This document has been superseded by: UPC++ Programmer’s Guide, v1.0-2018.9.0 (LBNL-2001180) https://e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ea4f23cd5a7dae5f1dabe1e1d7a5c2f
https://doi.org/10.2172/1430693
https://doi.org/10.2172/1430693
Autor:
Steve Hofmeyr, John Bachan, Mathias Jacquelin, Scott B. Baden, Dan Bonachea, Amir Kamil, Brian Van Straalen, Paul Hargrove
Publikováno v:
PAW@SC
Bachan, J; Bonachea, D; Hargrove, PH; Hofmeyr, S; Jacquelin, M; Kamil, A; et al.Morris, K; Iancu, C; Filippone, S; Chamberlain, BL; & Long, B eds. (2017). The UPC++ PGAS library for exascale computing. Proceedings of PAW 2017: 2nd Annual PGAS Applications Workshop-Held in conjunction with SC 2017: The International Conference for High Performance Computing, Networking, Storage and Analysis, 2017-January, 1-4. doi: 10.1145/3144779.3169108. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/5pq438t6
Bachan, J; Bonachea, D; Hargrove, PH; Hofmeyr, S; Jacquelin, M; Kamil, A; et al.Morris, K; Iancu, C; Filippone, S; Chamberlain, BL; & Long, B eds. (2017). The UPC++ PGAS library for exascale computing. Proceedings of PAW 2017: 2nd Annual PGAS Applications Workshop-Held in conjunction with SC 2017: The International Conference for High Performance Computing, Networking, Storage and Analysis, 2017-January, 1-4. doi: 10.1145/3144779.3169108. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/5pq438t6
© 2017 Copyright held by the owner/author(s). We describe UPC++ V1.0, a C++11 library that supports APGAS programming. UPC++ targets distributed data structures where communication is irregular or fine-grained. The key abstractions are global pointe
Autor:
Paul Hargrove, Steve Hofmeyr, B. van Straalen, Scott B. Baden, Mathias Jacquelin, Khaled Z. Ibrahim, Dan Bonachea, Amir Kamil, John Bachan
Author(s): Bachan, J; Baden, S; Bonachea, D; Hargrove, P; Hofmeyr, S; Ibrahim, K; Jacquelin, M; Kamil, A; van Straalen, B | Abstract: This document has been superseded by: UPC++ Programmer’s Guide, v1.0-2018.3.0 (LBNL-2001136) https://escholarship.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::015f61a60c8454985f91cde510bcdd0a
https://doi.org/10.2172/1398522
https://doi.org/10.2172/1398522