Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Darius Buntinas"'
Autor:
Brian W. Barrett, Pavan Balaji, William Gropp, Rajeev Thakur, James Dinan, Torsten Hoefler, Darius Buntinas, Vivek S. Kale, Ron Brightwell
Publikováno v:
Computing, 95 (12)
Computing
Computing
Computing, 95 (12)
ISSN:0010-485X
ISSN:1436-5057
ISSN:0010-485X
ISSN:1436-5057
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee39ce472c17dd34de375c5f72a4c3fc
http://doc.rero.ch/record/313941/files/607_2013_Article_324.pdf
http://doc.rero.ch/record/313941/files/607_2013_Article_324.pdf
Publikováno v:
Concurrency and Computation: Practice and Experience. 28:4385-4404
The Message Passing Interface MPI 3.0 standard includes a significant revision to MPI's remote memory access RMA interface, which provides support for one-sided communication. MPI-3 RMA is expected to greatly enhance the usability and performance of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b09e34a04e008f1489267e9f6127aae7
https://doi.org/10.1002/cpe.3758
https://doi.org/10.1002/cpe.3758
Autor:
Darius Buntinas, Torsten Hoefler, David Goodell, William Gropp, Sameer Kumar, Pavan Balaji, Ewing Lusk, Jesper Larsson Träff, Rajeev Thakur
Publikováno v:
Parallel Processing Letters. 21:45-60
Petascale parallel computers with more than a million processing cores are expected to be available in a couple of years. Although MPI is the dominant programming interface today for large-scale systems that at the highest end already have close to 3
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5bc0dbdcfb0ff62c66d04363e8dfa581
https://doi.org/10.1142/s0129626411000060
https://doi.org/10.1142/s0129626411000060
Publikováno v:
Journal of Computational Science. 1:89-97
The computation of derivatives via automatic differentiation is a valuable technique in many science and engineering applications. While the implementation of automatic differentiation via source transformation yields the highest efficiency results,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b5bcc1f0d35f7b865d5017ca3160f7e
https://doi.org/10.1016/j.jocs.2010.03.009
https://doi.org/10.1016/j.jocs.2010.03.009
Publikováno v:
ICCS
The computation of derivatives via automatic differentiation is a valuable technique in many science and engineering applications. While the implementation of automatic differentiation via source transformation yields the highest-efficiency results,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::662d9e53134edd40dfa022a7757a9c52
Publikováno v:
The International Journal of High Performance Computing Applications. 24:49-57
As high-end computing systems continue to grow in scale, recent advances in multi- and many-core architectures have pushed such growth toward more dense architectures, that is, more processing elements per physical node, rather than more physical nod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::53f56df3936689a1de5e22fb21ad7f8f
https://doi.org/10.1177/1094342009360206
https://doi.org/10.1177/1094342009360206
Autor:
Darius Buntinas, Thomas Herault, Ala Rezmerita, Laurence Pilard, Eric Rodriguez, Camille Coti, Franck Cappello, Pierre Lemarinier
Publikováno v:
Future Generation Computer Systems. 24:73-84
A long-term trend in high-performance computing is the increasing number of nodes in parallel computing platforms, which entails a higher failure probability. Fault tolerant programming environments should be used to guarantee the safe execution of c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::229bd85f63a5b3a9ba9dc904c6842ccb
https://doi.org/10.1016/j.future.2007.02.002
https://doi.org/10.1016/j.future.2007.02.002
Publikováno v:
Parallel Computing
Parallel Computing, Elsevier, 2007, 33 (9), pp.634-644. ⟨10.1016/j.parco.2007.06.003⟩
Parallel Computing, 2007, 33 (9), pp.634-644. ⟨10.1016/j.parco.2007.06.003⟩
Parallel Computing, Elsevier, 2007, 33 (9), pp.634-644. ⟨10.1016/j.parco.2007.06.003⟩
Parallel Computing, 2007, 33 (9), pp.634-644. ⟨10.1016/j.parco.2007.06.003⟩
International audience; This paper presents the implementation of MPICH2 over the Nemesis communication subsystem and the evaluation of its shared-memory performance. We describe design issues as well as some of the optimization techniques we employe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5552e67e242cee45ea199bb6670abf4
https://doi.org/10.1016/j.parco.2007.06.003
https://doi.org/10.1016/j.parco.2007.06.003
Autor:
Dhabaleswar K. Panda, P. Wyckoff, Darius Buntinas, Jiesheng Wu, Sushmitha P. Kini, Jiuxing Liu, Weikuan Yu, B. Chandrasekaran
Publikováno v:
IEEE Micro. 24:42-51
Today's distributed and high-performance applications require high computational power and high communication performance. Recently, the computational power of commodity PCs has doubled about every 18 months. At the same time, network interconnects t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf9387153239b649953d9712dde272af
https://doi.org/10.1109/mm.2004.1268994
https://doi.org/10.1109/mm.2004.1268994
Autor:
Rajeev Thakur, James Dinan, Pavan Balaji, Xin Zhao, Darius Buntinas, David Goodell, Judicael A. Zounmevo, Ahmad Afsahi, William Gropp
Publikováno v:
CCGRID
Many new large-scale applications have emerged recently and become important in areas such as bioinformatics and social networks. These applications are often data-intensive and involve irregular communication patterns and complex operations on remot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7d4ad9c20b10ed11d23497e5cd7fcd5
https://doi.org/10.1109/ccgrid.2013.84
https://doi.org/10.1109/ccgrid.2013.84