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# Line 536 | Line 536 | Encoding: GBK
536    year = {1967},
537    volume = {23},
538    pages = {407-436},
539 + }
540 +
541 + @ARTICLE{Brooks1983,
542 +  author = {B. R. Brooks and R. E. Bruccoleri and B. D. Olafson and D. J. States
543 +        and S. Swaminathan and M. Karplus},
544 +  title = {Charmm - a Program for Macromolecular Energy, Minimization, and Dynamics
545 +        Calculations},
546 +  journal = {Journal of Computational Chemistry},
547 +  year = {1983},
548 +  volume = {4},
549 +  pages = {187-217},
550 +  number = {2},
551 +  annote = {Qp423 Times Cited:6414 Cited References Count:96},
552 +  issn = {0192-8651},
553 +  uri = {<Go to ISI>://A1983QP42300010},
554   }
555  
556   @ARTICLE{Brunger1984,
# Line 1554 | Line 1569 | Encoding: GBK
1569    year = {1977},
1570    volume = {16},
1571    pages = {1747-1763},
1572 + }
1573 +
1574 + @ARTICLE{Kale1999,
1575 +  author = {L. Kale and R. Skeel and M. Bhandarkar and R. Brunner and A. Gursoy
1576 +        and N. Krawetz and J. Phillips and A. Shinozaki and K. Varadarajan
1577 +        and K. Schulten},
1578 +  title = {NAMD2: Greater scalability for parallel molecular dynamics},
1579 +  journal = {Journal of Computational Physics},
1580 +  year = {1999},
1581 +  volume = {151},
1582 +  pages = {283-312},
1583 +  number = {1},
1584 +  month = {May 1},
1585 +  abstract = {Molecular dynamics programs simulate the behavior of biomolecular
1586 +        systems, leading to understanding of their functions. However, the
1587 +        computational complexity of such simulations is enormous. Parallel
1588 +        machines provide the potential to meet this computational challenge.
1589 +        To harness this potential, it is necessary to develop a scalable
1590 +        program. It is also necessary that the program be easily modified
1591 +        by application-domain programmers. The NAMD2 program presented in
1592 +        this paper seeks to provide these desirable features. It uses spatial
1593 +        decomposition combined with force decomposition to enhance scalability.
1594 +        It uses intelligent periodic load balancing, so as to maximally
1595 +        utilize the available compute power. It is modularly organized,
1596 +        and implemented using Charm++, a parallel C++ dialect, so as to
1597 +        enhance its modifiability. It uses a combination of numerical techniques
1598 +        and algorithms to ensure that energy drifts are minimized, ensuring
1599 +        accuracy in long running calculations. NAMD2 uses a portable run-time
1600 +        framework called Converse that also supports interoperability among
1601 +        multiple parallel paradigms. As a result, different components of
1602 +        applications can be written in the most appropriate parallel paradigms.
1603 +        NAMD2 runs on most parallel machines including workstation clusters
1604 +        and has yielded speedups in excess of 180 on 220 processors. This
1605 +        paper also describes the performance obtained on some benchmark
1606 +        applications. (C) 1999 Academic Press.},
1607 +  annote = {194FM Times Cited:373 Cited References Count:51},
1608 +  issn = {0021-9991},
1609 +  uri = {<Go to ISI>://000080181500013},
1610   }
1611  
1612   @ARTICLE{Kane2000,
# Line 3165 | Line 3218 | Encoding: GBK
3218    year = {1974},
3219    author = {V.S. Varadarajan},
3220    address = {New York},
3221 + }
3222 +
3223 + @ARTICLE{Vincent1995,
3224 +  author = {J. J. Vincent and K. M. Merz},
3225 +  title = {A Highly Portable Parallel Implementation of Amber4 Using the Message-Passing
3226 +        Interface Standard},
3227 +  journal = {Journal of Computational Chemistry},
3228 +  year = {1995},
3229 +  volume = {16},
3230 +  pages = {1420-1427},
3231 +  number = {11},
3232 +  month = {Nov},
3233 +  abstract = {We have implemented a portable parallel version of the macromolecular
3234 +        modeling package AMBER4. The message passing paradigm was used.
3235 +        All message passing constructs are compliant with the Message Passing
3236 +        Interface (MPI) standard. The molecular dynamics/minimization module
3237 +        MINMD and the free-energy perturbation module Gibbs have been implemented
3238 +        in parallel on a number of machines, including a Gray T3D, an IBM
3239 +        SP1/SP2, and a collection of networked workstations. In addition,
3240 +        the code has been tested with an MPI implementation from Argonne
3241 +        National Laboratories/Mississippi State University which runs on
3242 +        many parallel machines. The goal of this work is to decrease the
3243 +        amount of time required to perform molecular dynamics simulations.
3244 +        Performance results for a Lipid bilayer molecular dynamics simulation
3245 +        on a Gray T3D, an IBM SP1/SPZ and a Gray C90 are compared. (C) 1995
3246 +        by John Wiley & Sons, Inc.},
3247 +  annote = {Ta403 Times Cited:16 Cited References Count:23},
3248 +  issn = {0192-8651},
3249 +  uri = {<Go to ISI>://A1995TA40300009},
3250   }
3251  
3252   @ARTICLE{Wegener1979,

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