Zobrazeno 1 - 10
of 85
pro vyhledávání: '"Scott B. Baden"'
Autor:
Paul Hargrove, Dan Bonachea, Amir Kamil, B. van Straalen, J Grossman, John Bachan, Steven Hofmeyr, Mathias Jacquelin, Scott B. Baden
UPC++ is a C++11 library that provides Partitioned Global Address Space (PGAS) programming. It is designed for writing parallel programs that run efficiently and scale well on distributed-memory parallel computers. The PGAS model is single program, m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72c1e9249265a643720722c9ef7ef962
https://doi.org/10.2172/1685058
https://doi.org/10.2172/1685058
Publikováno v:
PAW-ATM@SC
Programmability is one of the key challenges of Exascale Computing. Using the actor model for distributed computations may be one solution. The actor model separates computation from communication while still enabling their over- lap. Each actor poss
Autor:
Dan Bonachea, B. van Straalen, Amir Kamil, Paul Hargrove, Mathias Jacquelin, John Bachan, Scott B. Baden, Steven Hofmeyr
Author(s): Bachan, J; Baden, S; Bonachea, Dan; Hargrove, P; Hofmeyr, S; Jacquelin, M; Kamil, A; Van Straalen, B | Abstract: This document has been superseded by: UPC++ v1.0 Programmer’s Guide, Revision 2019.9.0 (LBNL-2001236) https://doi.org/10.253
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::767d794a9fa3b939931c9f64ad17e69a
https://doi.org/10.2172/1503666
https://doi.org/10.2172/1503666
Autor:
Hadia Ahmed, Scott B. Baden, Mathias Jacquelin, Paul Hargrove, Steven Hofmeyr, John Bachan, Dan Bonachea, Amir Kamil
Publikováno v:
Bachan, J; Baden, S; Hofmeyr, S; Jacquelin, M; Kamil, A; Bonachea, D; et al.(2019). UPC++: A High-Performance Communication Framework for Asynchronous Computation. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/1gd059hj
IPDPS
IPDPS
UPC++ is a C++ library that supports high-performance computation via an asynchronous communication framework. This paper describes a new incarnation that differs substantially from its predecessor, and we discuss the reasons for our design decisions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::324b54d824ce5202a0060231e11bac18
http://www.escholarship.org/uc/item/1gd059hj
http://www.escholarship.org/uc/item/1gd059hj
Autor:
Sergio Martín, Scott B. Baden
Publikováno v:
Languages and Compilers for Parallel Computing ISBN: 9783030346263
LCPC
LCPC
We present MATE, a model for developing communication-tolerant scientific applications. MATE employs a combination of mechanisms to reduce or hide the cost of network and intra-node data movement. While previous approaches have been proposed to reduc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::57e7e79d07b5774593b46f065fa83abd
https://doi.org/10.1007/978-3-030-34627-0_10
https://doi.org/10.1007/978-3-030-34627-0_10
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
Autor:
B. van Straalen, Scott B. Baden, Khaled Z. Ibrahim, Steven Hofmeyr, Paul Hargrove, Mathias Jacquelin, Dan Bonachea, Amir Kamil, John Bachan, B Lelbach
Author(s): Bachan, J; Baden, Scott; Bonachea, Dan; Hargrove, Paul; Hofmeyr, S; Ibrahim, Khaled; Jacquelin, M; Kamil, Amir; Lelbach, B; van Straalen, B | Abstract: This document has been superseded by: UPC++ Specification v1.0, Draft 8 (LBNL-2001179)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::48ce4244bd49b9c32d3c19dcb08ddf86
https://doi.org/10.2172/1398521
https://doi.org/10.2172/1398521
Publikováno v:
Nguyen, T; Cicotti, P; Bylaska, E; Quinlan, D; & Baden, S. (2017). Automatic translation of MPI source into a latency-tolerant, data-driven form. Journal of Parallel and Distributed Computing, 106, 1-13. doi: 10.1016/j.jpdc.2017.02.009. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/8fh786n4
Hiding communication behind useful computation is an important performance programming technique but remains an inscrutable programming exercise even for the expert. We present Bamboo, a code transformation framework that can realize communication ov
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c8a0740e0daf6517f73afdcdfb06d592
https://escholarship.org/uc/item/8fh786n4
https://escholarship.org/uc/item/8fh786n4