Next: 9. Statistical Databases
Up: csahtml
Previous: 8.4 Parallel Computing in
-
- 1
-
Amdahl, G. M. (1967).
Validity of the single-processor approach to achieving large scale
computing capabilities.
In AFIPS Conference Proceedings, volume 30, pages 483-485.
- 2
-
Balay, S., Buschelman, K., Gropp, W. D., Kaushik, D., Knepley, M., McInnes,
L. C., Smith, B. F., and Zhang, H. (2001).
PETSc home page.
http://www.mcs.anl.gov/petsc.
- 3
-
Beddo, V. (2002).
Applications of parallel programming in Statistics.
Ph.D. dissertation, University of California, Los Angeles.
http://theses.stat.ucla.edu/19/parallel_programming_beddo.pdf.
- 4
-
Blackford, L., Choi, J., Cleary, A., D'Azevedo, E., Demmel, J., Dhillon, I.,
Dongarra, J., Hammarling, S., Henry, G., Petitet, A., Stanley, K., Walker,
D., and Whaley, R. C. (1997).
ScaLAPACK Users' Guide.
SIAM Press.
- 5
-
Bull, J. M., Riley, G. D., Rasbash, J., and Goldstein, H. (1999).
Parallel implementation of a multilevel modelling package.
Computational Statistics & Data Analysis, 31(4):457-474.
- 6
-
Butenhof, D. R. (1997).
Programming with POSIX Threads.
Addison Wesley.
- 7
-
Chambers, J. M. (1998).
Programming with Data: A Guide to the S Language.
Springer-Verlag.
- 8
-
Chandra, R., Dagum, L., Kohr, D., Maydan, D., McDonald, J., and Menon, R.
(2001).
Parallel Programming in OpenMP.
Morgan Kaufman.
- 9
-
Christofides, A., Tanyi, B., Christofides, D., Whobrey, D., and Christofides,
N. (1999).
The optimal discretization of probability density functions.
Computational Statistics & Data Analysis, 31(4):475-486.
- 10
-
Flynn, M. (1966).
Very high-speed computing systems.
Proc. IEEE, 54(12):1901-1909.
- 11
-
Geist, A., Beguelin, A., Dongarra, J., Jiang, W., Manchek, R., and Sunderam,
V. S. (1994).
PVM: Parallel Virtual Machine: A Users' Guide and Tutorial
for Networked Parallel Computing.
MIT Press.
- 12
-
Gropp, W., Lusk, E., and Skjellum, A. (1999a).
Using MPI: Portable Parallel Programming with the
Message-Passing Interface, 2nd Edition.
MIT Press.
- 13
-
Gropp, W., Lusk, E., and Thakur, R. (1999b).
Using MPI-2: Advanced Features of the Message-Passing
Interface.
MIT Press.
- 14
-
Gustafson, J. L. (1988).
Reevaluating amdahl's law.
Comm. ACM, 31(5):532-533.
- 15
-
Hardwick, J., Oehmke, R., and Stout, Q. F. (1999).
A program for sequential allocation of three bermoulli populations.
Computational Statistics & Data Analysis, 31(4):397-416.
- 16
-
Hegland, M., McIntosh, I., and Turlach, B. A. (1999).
A parallel solver for generalized additive models.
Computational Statistics & Data Analysis, 31(4):377-396.
- 17
-
High Performance Fortran Forum (2004).
HPF: The high performance fortran home page.
http://www.crpc.rice.edu/HPFF/.
- 18
-
Jones, H., Mitra, G., Parkinson, D., and Spinks, T. (1999).
A parallel implementation of the maximum likelihood method in
positron emission tomography image reconstruction.
Computational Statistics & Data Analysis, 31(4):417-439.
- 19
-
Koelbel, C. H., Loveman, D. B., Schreiber, R. S., Steele, J. G. L., and Zosel,
M. E. (1993).
The High Performance Fortran Handbook.
MIT Press.
- 20
-
LAM Team (2004).
LAM/MPI parallel computing.
http://www.lam-mpi.org/.
- 21
-
Li, N. and Rossini, A. (2001).
RPVM: Cluster statistical computing in R.
R News, 1(3):4-7.
http://CRAN.R-project.org/doc/Rnews/.
- 22
-
Malard, J. M. (2002).
Parallel restricted maximum likelihood estimation for linear models
with a dense exogenous matrix.
Parallel Computing, 28(2):343-353.
- 23
-
Mascagni, M. (1999).
SPRNG: A scalable library for pseudorandom number generation.
In Spanier, J. et al., editor, Proceedings of the Third
International Conference on Monte Carlo and Quasi Monte Carlo Methods in
Scientific Computing. Springer-Verlag.
- 24
-
Message Passing Interface (MPI) Forum (2004).
Message passing interface (MPI) forum home page.
http://www.mpi-forum.org/.
- 25
-
MPICH Team (2004).
MPICH - A portable mpi implementation.
http://www-unix.mcs.anl.gov/mpi/mpich/.
- 26
-
Murphy, K., Clint, M., and Perrott, R. H. (1999).
Re-engineering statistical software for efficient parallel execution.
Computational Statistics & Data Analysis, 31(4):441-456.
- 27
-
Nakano, J., Fujiwara, T., Yamamoto, Y., and Kobayashi, I. (2000).
A statistical package based on Pnuts.
In Bethlehem, J. G. and van der Heijden, P. G. M., editors, COMPSTAT 2000 Proceedings in Computational Statistics, pages 361-366.
Physica-Verlag.
- 28
-
Oaks, S. and Wong, H. (1999).
Java Threads, 2nd edition.
O'Reilly.
- 29
-
OpenMP Architecture Review Board (2004).
OpenMP: Simple, portable, scalable SMP programming.
http://www.openmp.org/.
- 30
-
PVM Project Members (2004).
PVM: Parallel virtual machine.
http://www.csm.ornl.gov/pvm/pvm_home.html.
- 31
-
Racine, J. (2002).
Parallel distributed kernel estimation.
Computational Statistics & Data Analysis, 40(2):293-302.
- 32
-
Rossini, A., Tierney, L., and Li, N. (2003).
Simple parallel statistical computing in R.
UW Biostatistics working paper series, Paper 193, University of
Washington.
http://www.bepress.com/uwbiostat/paper193.
- 33
-
Schervish, M. J. (1988).
Applications of parallel computation to statistical inference.
J. Aner. Statist. Assoc., 83:976-983.
- 34
-
Sterling, T., Salmon, J., Becker, D. J., and Savarese, D. F. (1999).
How to Build a Beowulf : A Guide to the Implementation and
Application of PC Clusters.
MIT Press.
- 35
-
Swann, C. A. (2002).
Maximum likelihood estimation using parallel computing: An
introduction to MPI.
Computational Economics, 19:145-178.
- 36
-
Tanenbaum, A. S. (2001).
Modern Operating Systems, 2nd Edition.
Prentice Hall.
- 37
-
Temple Lang, D. (1997).
A multi-threaded extension to a high level interactive
statistical computing environment.
Ph.D. dissertation, University of California, Berkeley.
http://cm.bell-labs.com/stat/doc/multi-threaded-S.ps.
- 38
-
The R Development Core Team (2004).
The R project for statistical computing.
http://www.r-project.org/.
- 39
-
Tuomi, I. (2002).
The lives and death of moore's law.
First Monday, 7(11).
http://firstmonday.org/issues/issue7_11/tuomi/index.html.
- 40
-
van de Geijin, R. A. (1997).
Using PLAPACK.
MIT Press.
- 41
-
Yamamoto, Y. and Nakano, J. (2002).
Distributed processing functions of a time series analysis system.
Journal of the Japanese Society of Computational Statistics,
15(1):65-77.
- 42
-
Yu, H. (2002).
Rmpi: Parallel statistical computing in R.
R News, 2(2):10-14.
http://CRAN.R-project.org/doc/Rnews/.
Subsections