Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Daniel J. Palermo"'
Publikováno v:
Journal of Parallel and Distributed Computing. 38:158-175
For distributed-memory multicomputers such as the Intel Paragon, the IBM SP-1/SP-2, the NCUBE/2, and the Thinking Machines CM-5, the quality of the data partitioning for a given application is crucial to obtaining high performace. This task has tradi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::33d47fa5f9409794f93afd978267cf92
https://doi.org/10.1006/jpdc.1996.0138
https://doi.org/10.1006/jpdc.1996.0138
Autor:
John A. Chandy, Ernesto Su, J.G. Holm, Iv. E.W. Hodges, Manish Gupta, Prithviraj Banerjee, Antonio Lain, Shankar Ramaswamy, Daniel J. Palermo
Publikováno v:
Computer. 28:37-47
To harness the computational power of massively parallel distributed-memory multicomputers, users must write efficient software. This process is laborious because of the absence of global address space. The programmer must manually distribute computa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bba1490d7df19c233984f9da537f7828
https://doi.org/10.1109/2.467577
https://doi.org/10.1109/2.467577
Publikováno v:
ICPP, Vol. 3
The practice of using temporary scalar or array variables to store the results of common subexpressions presents several challenges to a parallelizing compiler. Not only does dependence analysis and, as a result, parallelization suffer; but existing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::afb037c4345386a74a1fddab5ae13359
https://doi.org/10.1109/icpp.1996.538555
https://doi.org/10.1109/icpp.1996.538555
Publikováno v:
Languages and Compilers for Parallel Computing ISBN: 9783540630913
LCPC
LCPC
In High Performance Fortran (HPF), array redistribution can be described explicitly using directives (REDISTRIBUTE or REALIGN) which specify where new distributions become active or implicitly by calling functions which require different data distrib
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84ea7bdde006935a6f3fc8f86bf96d7d
https://doi.org/10.1007/bfb0017268
https://doi.org/10.1007/bfb0017268
Autor:
Prithviraj Banerjee, Daniel J. Palermo
Publikováno v:
Languages and Compilers for Parallel Computing ISBN: 9783540607656
LCPC
LCPC
For distributed-memory multicomputers such as the Intel Paragon, the IBM SP-1/SP-2, the NCUBE/2, and the Thinking Machines CM-5, the quality of the data partitioning for a given application is crucial to obtaining high performance. This task has trad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::168b604d226da463edc6d68e25ab515e
https://doi.org/10.1007/bfb0014213
https://doi.org/10.1007/bfb0014213
Autor:
Antonio Lain, Shankar Ramaswamy, Ernesto Su, Prithviraj Banerjee, Daniel J. Palermo, Eugene W. Hodges
Publikováno v:
International Conference on Supercomputing
The PARADIGM compiler project provides an automated means to parallelize programs, written in a serial programming model, for efficient execution on distributed-memory multicomputers. .A previous implementation of the compiler based on the PTD repres
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb4cb5e695fc7dda9aac66e0f590d5bc
https://doi.org/10.1145/224538.224650
https://doi.org/10.1145/224538.224650
Publikováno v:
ICPP (2)
The PARADIGM (PARAllelizing compiler for DIstributed-memory General-purpose Multicomputers) project at the University of Illinois provides a fully automated means to parallelize programs, written in a serial programming model, for execution on distri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c1e87c06500f6a5624a113133e576a7
https://doi.org/10.1109/icpp.1994.67
https://doi.org/10.1109/icpp.1994.67
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