-
1
-
-
21344438347
-
A review of parallel processing for statistical computation
-
Adams, N. M., S. P. J. Kirby, P. Harris, and D. B. Clegg. 1996. A review of parallel processing for statistical computation. Statist. Computing, 6, 37-49. (Pubitemid 126716898)
-
(1996)
Statistics and Computing
, vol.6
, Issue.1
, pp. 37-49
-
-
Adams, N.M.1
Kirby, S.P.J.2
Harris, P.3
Clegg, D.B.4
-
2
-
-
37849042857
-
Newton additive and multiplicative Schwarz iterative methods
-
Arnal, J., V.Migallon, J. Penades, and D. B. Szyld. 2008. Newton additive and multiplicative Schwarz iterative methods. IMA J. Numer. Anal., 28, 143-161.
-
(2008)
IMA J. Numer. Anal.
, vol.28
, pp. 143-161
-
-
Arnal, J.1
Migallon, V.2
Penades, J.3
Szyld, D.B.4
-
7
-
-
0008413109
-
The arithmetic mean method for finding the stationary vector of Markov chains
-
Benzi, M., and T. Dayar. 1995. The arithmetic mean method for finding the stationary vector of Markov chains. Parallel Algorithms Appl., 6, 25-37.
-
(1995)
Parallel Algorithms Appl.
, vol.6
, pp. 25-37
-
-
Benzi, M.1
Dayar, T.2
-
8
-
-
0008398985
-
A parallel block projection method of the Cimmino type for finite Markov chains
-
ed. W. J. Stewart Dordrecht, Kluwer Academic
-
Benzi, M., F. Sgallari, and G. Spaletta. 1995. A parallel block projection method of the Cimmino type for finite Markov chains. In Computations with Markov chains, ed. W. J. Stewart, 65-80. Dordrecht, Kluwer Academic.
-
(1995)
Computations with Markov Chains
, pp. 65-80
-
-
Benzi, M.1
Sgallari, F.2
Spaletta, G.3
-
9
-
-
0036533049
-
A parallel solver for large-scale Markov chains
-
DOI 10.1016/S0168-9274(01)00116-7, PII S0168927401001167
-
Benzi, M., and M. Tuma. 2002. A parallel solver for large-scale Markov chains. Appl. Numer. Math., 41, 135-153. (Pubitemid 34154709)
-
(2002)
Applied Numerical Mathematics
, vol.41
, Issue.1
, pp. 135-153
-
-
Benzi, M.1
Tuma, M.2
-
10
-
-
84865209551
-
Parallel tensor methods for nonlinear equations and nonlinear least squares
-
Bouaricha, A., and R. B. Schnabel. 1993. Parallel tensor methods for nonlinear equations and nonlinear least squares. PPSC, 639-643.
-
(1993)
PPSC
, pp. 639-643
-
-
Bouaricha, A.1
Schnabel, R.B.2
-
11
-
-
33746815709
-
Convergence properties of some block Krylov subspace methods for multiple linear systems
-
DOI 10.1016/j.cam.2005.09.017, PII S0377042705006011
-
Bouyouli, R., K. Jbilou, R. Sadaka, and H. Sadok. 2006. Convergence properties of some block Krylov subspace methods for multiple linear systems. J. Comput. Appl. Math., 196, 498-511. (Pubitemid 44177514)
-
(2006)
Journal of Computational and Applied Mathematics
, vol.196
, Issue.2
, pp. 498-511
-
-
Bouyouli, R.1
Jbilou, K.2
Sadaka, R.3
Sadok, H.4
-
12
-
-
33645560014
-
Parallel Markov Chain Monte Carlo simulation by pre-fetching
-
DOI 10.1198/106186006X100579
-
Brockwell, A. 2006. Parallel Markov chain Monte Carlo simulation by prefetching. J. Comput. Graphical Stati., 15, 246-261. (Pubitemid 43514420)
-
(2006)
Journal of Computational and Graphical Statistics
, vol.15
, Issue.1
, pp. 246-261
-
-
Brockwell, A.E.1
-
13
-
-
33646271332
-
Additive Schwarz iterations for Markov chains
-
Bru, R., F. Pedroche, and D. B. Szyld. 2005. Additive Schwarz iterations for Markov chains. SIAM J. Matrix Anal. Appl., 27, 445-458.
-
(2005)
SIAM J. Matrix Anal. Appl.
, vol.27
, pp. 445-458
-
-
Bru, R.1
Pedroche, F.2
Szyld, D.B.3
-
14
-
-
75249089153
-
The gputools package enables GPU computing in R
-
Buckner, J., J. Wilson, M. Seligman, B. Athey, S. Watson, and F. Meng. 2010. The gputools package enables GPU computing in R. Bioinformatics, 26, 134-135.
-
(2010)
Bioinformatics
, vol.26
, pp. 134-135
-
-
Buckner, J.1
Wilson, J.2
Seligman, M.3
Athey, B.4
Watson, S.5
Meng, F.6
-
15
-
-
1542512456
-
Numerical methods for strong solutions of stochastic differential equations: An overview
-
DOI 10.1098/rspa.2003.1247
-
Burrage, K., P. M. Burrage, and T. Tian. 2004. Numerical methods for strong solutions of stochastic differential equations: An overview. Proc. R. Soc. Lond. A, 460, 373-402. (Pubitemid 38333299)
-
(2004)
Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
, vol.460
, Issue.2041
, pp. 373-402
-
-
Burrage, K.1
Burrage, P.M.2
Tian, T.3
-
17
-
-
33745014177
-
Parallel computation of high-dimensional Robust correlation and covariance matrices
-
DOI 10.1007/s00453-006-1219-9
-
Gliwice, Jacek Skalmierski Computer Studio. Chilson, J., R. Ng, A. Wagner, and R. Zamar. 2006. Parallel computation of high-dimensional robust correlation and covariance matrices. Algorithmica, 45, 403-431. (Pubitemid 43876797)
-
(2006)
Algorithmica (New York)
, vol.45
, Issue.3
, pp. 403-431
-
-
Chilson, J.1
Ng, R.2
Wagner, A.3
Zamar, R.4
-
18
-
-
6044263672
-
A parallel nonlinear least-squares solver: Theoretical analysis and numerical results
-
Coleman, T. F., and P. E. Plassmann. 1992. A parallel nonlinear least-squares solver: Theoretical analysis and numerical results. SIAM J. Sci. Stat. Comput., 13, 771-793.
-
(1992)
SIAM J. Sci. Stat. Comput.
, vol.13
, pp. 771-793
-
-
Coleman, T.F.1
Plassmann, P.E.2
-
19
-
-
22544460444
-
Multiprocess parallel antithetic coupling for backward and forward Markov chain Monte Carlo
-
DOI 10.1214/009053604000001075
-
Craiu, R. V., and X. L. Meng. 2005. Multi-process parallel antithetic coupling for forward and backward Markov chain Monte Carlo. Ann. Stat., 33, 661-697. (Pubitemid 41053719)
-
(2005)
Annals of Statistics
, vol.33
, Issue.2
, pp. 661-697
-
-
Craiu, R.V.1
Meng, X.-L.2
-
20
-
-
74049163249
-
Learn from thy neighbor: Parallel-chain and regional adaptive MCMC
-
Craiu, R. V., J. S. Rosenthal, and C. Yang. 2009. Learn from thy neighbor: Parallel-chain and regional adaptive MCMC. J. Am. Stat. Associ., 104, 1454-1466.
-
(2009)
J. Am. Stat. Associ.
, vol.104
, pp. 1454-1466
-
-
Craiu, R.V.1
Rosenthal, J.S.2
Yang, C.3
-
21
-
-
27744468173
-
User-friendly parallel computations with econometric examples
-
DOI 10.1007/s10614-005-6868-2
-
Creel, M. 2005. User-friendly parallel computations with econometric examples. Comput. Econ., 26(2), 107-128. (Pubitemid 41631015)
-
(2005)
Computational Economics
, vol.26
, Issue.2
, pp. 107-128
-
-
Creel, M.1
-
22
-
-
54049116320
-
Multi-core CPUs, clusters, and grid computing: A tutorial
-
Creel,M., andW. L. Goffe. 2008. Multi-core CPUs, clusters, and grid computing: A tutorial. Comput. Econom., 32(4), 353-382.
-
(2008)
Comput. Econom.
, vol.32
, Issue.4
, pp. 353-382
-
-
Creel, M.1
Goffe, W.L.2
-
25
-
-
0343586025
-
A parallel data-clustering algorithm for distributed memory multiprocessors
-
ed. M. J. Zaki and C. T. Ho New York, Springer-Verlag.
-
Dhillon, I. S., and D. S. Modha. 2000. A parallel data-clustering algorithm for distributed memory multiprocessors. In Large-scale parallel data mining, Lecture notes in artificial intelligence, ed. M. J. Zaki and C. T. Ho, vol. 1759, 245-260. New York, Springer-Verlag.
-
(2000)
Large-scale Parallel Data Mining, Lecture Notes in Artificial Intelligence
, vol.1759
, pp. 245-260
-
-
Dhillon, I.S.1
Modha, D.S.2
-
26
-
-
2942559428
-
Distributed numerical markov chain analysis
-
Recent Advances in Parallel Virtual Machine and Message Passing Interface
-
Fischer, M., and P. Kemper. 2001. Distributed numerical Markov chain analysis. In Proc. 8th Euro PVM/MPI, vol. 2131 of LNCS, ed. Y. Cotronis and J. Dongarra, 272-279. (Pubitemid 33348555)
-
(2001)
Lecture Notes in Computer Science
, Issue.2131
, pp. 272-279
-
-
Fischer, M.1
Kemper, P.2
-
27
-
-
85059361617
-
Implementing markov chain monte carlo: Estimating with confidence
-
ed. S. Brooks, A. Gelman, G. Jones, and X. Meng. Boca Raton, FL, Chapman and Hall/CRC Press
-
Santorini, Greece. Flegal, J. M., and G. L. Jones. 2010. Implementing Markov chain Monte Carlo: Estimating with confidence. In Handbook of Markov chain Monte Carlo, ed. S. Brooks, A. Gelman, G. Jones, and X. Meng., p. 175-197, Boca Raton, FL, Chapman and Hall/CRC Press.
-
(2010)
Handbook of Markov Chain Monte Carlo
, pp. 175-197
-
-
Santorini, G.1
Flegal, J.M.2
Jones, G.L.3
-
28
-
-
84938166141
-
Very high-speed computing systems
-
Flynn, M. J. 1966. Very high-speed computing systems. Proc. IEEE, 54, 1901-1909.
-
(1966)
Proc. IEEE
, vol.54
, pp. 1901-1909
-
-
Flynn, M.J.1
-
29
-
-
0015401565
-
Some computer organizations and their effectiveness
-
Flynn, M. J. 1972. Some computer organizations and their effectiveness. IEEE Trans. Computers, C-21, 948-960.
-
(1972)
IEEE Trans. Computers
, vol.C-21
, pp. 948-960
-
-
Flynn, M.J.1
-
30
-
-
84972492387
-
Inference from iterative simulation using multiple sequences (with discussion)
-
Gelman, A., and D. B. Rubin. 1992. Inference from iterative simulation using multiple sequences (with discussion). Statis. Sci., 7, 457-511.
-
(1992)
Statis. Sci.
, vol.7
, pp. 457-511
-
-
Gelman, A.1
Rubin, D.B.2
-
33
-
-
54949143606
-
Schwarz methods for quasi-likelihood in generalized linear models
-
Guo, G. 2008. Schwarz methods for quasi-likelihood in generalized linear models. Commun. Stat. Simul Comput., 37, 2027-2036.
-
(2008)
Commun. Stat. Simul Comput.
, vol.37
, pp. 2027-2036
-
-
Guo, G.1
-
34
-
-
77952341416
-
Schwarz method for penalized quasi-likelihood in generalized additive models
-
Guo, G., and S. Lin. 2010. Schwarz method for penalized quasi-likelihood in generalized additive models. Commun. Statist. Theory Methods, 39, 1847-1854.
-
(2010)
Commun. Statist. Theory Methods
, vol.39
, pp. 1847-1854
-
-
Guo, G.1
Lin, S.2
-
35
-
-
84857447513
-
Schwarz methods for quasi stationary distributions of Markov chains
-
Guo, G., and W. Zhao. 2012. Schwarz methods for quasi stationary distributions of Markov chains. Calcolo, 49, 21-39.
-
(2012)
Calcolo
, vol.49
, pp. 21-39
-
-
Guo, G.1
Zhao, W.2
-
36
-
-
35048897012
-
Data decomposition for parallel k-means clustering
-
ed. R.Wyrzykowski, J. Dongarra,M. Paprzycki, and J.Wasniewski New York Springer
-
Gursoy, A. 2003. Data decomposition for parallel k-means clustering. In PPAM, Lecture Notes in Computer Science, vol. 319, ed. R.Wyrzykowski, J. Dongarra,M. Paprzycki, and J.Wasniewski, 241-248. New York, Springer.
-
(2003)
PPAM, Lecture Notes in Computer Science
, vol.319
, pp. 241-248
-
-
Gursoy, A.1
-
37
-
-
84865270035
-
On practical experience with parallel processing of linear models
-
Havranek, T., and Z. Stratkos. 1989. On practical experience with parallel processing of linear models. Bull. Inter. Statis. Inst., 53, 105-117.
-
(1989)
Bull. Inter. Statis. Inst.
, vol.53
, pp. 105-117
-
-
Havranek, T.1
Stratkos, Z.2
-
38
-
-
48749088746
-
Nonparametric econometrics: The np package
-
Hayfield, T., and J. Racine. 2008. Nonparametric econometrics: The np package. J. Stat. Software, 27, 1-32.
-
(2008)
J. Stat. Software
, vol.27
, pp. 1-32
-
-
Hayfield, T.1
Racine, J.2
-
39
-
-
35148832155
-
Special issue on parallel processing and statistics
-
Kontoghiorghes, E. 1999. Special issue on parallel processing and statistics. Comput. Statist. Data Anal., 31, 373-516.
-
(1999)
Comput. Statist. Data Anal.
, vol.31
, pp. 373-516
-
-
Kontoghiorghes, E.1
-
40
-
-
13144262899
-
A review of recent developments in the numerical solution of stochastic PDEs (stochastic finite elements)
-
Braunschweig, Germany, Technische Universitat Braunschweig
-
Keese, A. 2003. A review of recent developments in the numerical solution of stochastic PDEs (stochastic finite elements). Informatikbericht 2003-6. Braunschweig, Germany, Technische Universitat Braunschweig.
-
(2003)
Informatikbericht 2003-6
-
-
Keese, A.1
-
41
-
-
15844366703
-
Hierarchical parallel solution of stochastic systems
-
ed. K.-J. Bathe Amsterdam: Elsevier
-
Keese, A., and H. G. Matthies. 2003. Hierarchical parallel solution of stochastic systems. In Computational fluid and solid mechanics, vol. 2, ed. K.-J. Bathe, 2023-2025. Amsterdam: Elsevier.
-
(2003)
Computational Fluid and Solid Mechanics
, vol.2
, pp. 2023-2025
-
-
Keese, A.1
Matthies, H.G.2
-
42
-
-
34548669645
-
Parallel computation of stochastic groundwater flow
-
Germany
-
Keese, A., and H. G. Matthies. 2004. Parallel computation of stochastic groundwater flow. Proc. NIC Symposium. p. 399-408, Germany.
-
(2004)
Proc. NIC Symposium.
, pp. 399-408
-
-
Keese, A.1
Matthies, H.G.2
-
43
-
-
0003226727
-
Parallel algorithms for linear models: Numerical methods and estimation problems
-
Boston, MA Kluwer Academic Publishers
-
Kontoghiorghes, E. 2000. Parallel algorithms for linear models: Numerical methods and estimation problems, Advances in computational economics, vol. 15, Boston, MA, Kluwer Academic Publishers.
-
(2000)
Advances in Computational Economics
, vol.15
-
-
Kontoghiorghes, E.1
-
45
-
-
16244412627
-
Dual-processor parallelisation of symbolic probabilistic model checking
-
Proceedings - IEEE Computer Society's 12th Annual International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems, MASCOTS 2004
-
Kwiatkowska, M., D. Parker, Y. Zhang, and R. Mehmood. 2004. Dual-processor parallelization of symbolic probabilistic model checking. MASCOTS'04, 123-130. IEEE Computer Society, Volendam, The Netherlands. (Pubitemid 40455426)
-
(2004)
Proceedings - IEEE Computer Society's Annual International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems, MASCOTS
, pp. 123-130
-
-
Kwiatkowska, M.1
Parker, D.2
Zhang, Y.3
Mehmood, R.4
-
46
-
-
78751703946
-
On the utility of graphics cards to perform massively parallel simulation with advanced Monte Carlo methods
-
Lee, A., C. Yau, M. Giles, A. Doucet, and C. Holmes. 2010. On the utility of graphics cards to perform massively parallel simulation with advanced Monte Carlo methods. J. Comp. Graph. Stat., 19(4), 769-789.
-
(2010)
J. Comp. Graph. Stat.
, vol.19
, Issue.4
, pp. 769-789
-
-
Lee, A.1
Yau, C.2
Giles, M.3
Doucet, A.4
Holmes, C.5
-
47
-
-
84862620852
-
X10 implementation of parallel option pricing with BSDE method
-
California, USA, June 2011
-
Liu, H., Y. Peng, D. Wei, and B. Dai. 2011. X10 implementation of parallel option pricing with BSDE method. ACM SIGPLAN X10 Workshop. In Proceedings of the ACM SIGPLAN X10'11 Workshop, California, USA, June 2011.
-
(2011)
ACM SIGPLAN X10 Workshop in Proceedings of the ACM SIGPLAN X10'11 Workshop
-
-
Liu, H.1
Peng, Y.2
Wei, D.3
Dai, B.4
-
48
-
-
72349095548
-
Parallel computation of kernel density estimates classifiers and their ensembles
-
Communication and Control Technologies, Orlando, FL
-
Lozano, E., and E. Acuña. 2003. Parallel computation of kernel density estimates classifiers and their ensembles. Proc. International Conference on Computer, Communication and Control Technologies, Orlando, FL.
-
(2003)
Proc. International Conference on Computer
-
-
Lozano, E.1
Acuña, E.2
-
49
-
-
38349028884
-
Parallel computing of kernel density estimates with MPI
-
Lukasik, S. 2007. Parallel computing of kernel density estimates with MPI. Lecture Notes Computer Sci., 4489, 726-734.
-
(2007)
Lecture Notes Computer Sci.
, vol.4489
, pp. 726-734
-
-
Lukasik, S.1
-
50
-
-
84865267146
-
Fast implementation of the FRAME algorithm using a GPU Gibbs sampler
-
Johannesburg, South Africa
-
Lubinsky, B., and F. Nicolls. 2011. Fast implementation of the FRAME algorithm using a GPU Gibbs sampler. PRASA2011, Johannesburg, South Africa.
-
(2011)
PRASA2011
-
-
Lubinsky, B.1
Nicolls, F.2
-
51
-
-
2942615438
-
Algebraic Schwarz methods for the numerical solution of Markov chains
-
Marek, I., and D. B. Szyld. 2004. Algebraic Schwarz methods for the numerical solution of Markov chains. Linear Algebra Appl., 386, 67-81.
-
(2004)
Linear Algebra Appl.
, vol.386
, pp. 67-81
-
-
Marek, I.1
Szyld, D.B.2
-
52
-
-
36348969935
-
-
Tech. Rep. UCAM-CL-TR-650, Computer Laboratory, University of Cambridge, UK
-
Mehmood, R., and J. Crowcroft. 2005. Parallel iterative solution method for large sparse linear equation systems. Tech. Rep. UCAM-CL-TR-650, Computer Laboratory, University of Cambridge, UK.
-
(2005)
Parallel Iterative Solution Method for Large Sparse Linear Equation Systems
-
-
Mehmood, R.1
Crowcroft, J.2
-
54
-
-
78651285211
-
Speeding up parallel tempering simulations
-
Hasenbusch, M., and S. Schaefer. 2010. Speeding up parallel tempering simulations. Phys. Rev., E82, 046707.
-
(2010)
Phys. Rev.
, vol.E82
, pp. 046707
-
-
Hasenbusch, M.1
Schaefer, S.2
-
55
-
-
80051584618
-
GPU-accelerated and parallelized ELM ensembles for large-scale regression
-
Heeswijk, M., Y. Miche, E. Oja, and A. Lendasse. 2011. GPU-accelerated and parallelized ELM ensembles for large-scale regression. Neurocomputing, 74(16), 2430-2437.
-
(2011)
Neurocomputing
, vol.74
, Issue.16
, pp. 2430-2437
-
-
Heeswijk, M.1
Miche, Y.2
Oja, E.3
Lendasse, A.4
-
56
-
-
0033334550
-
A parallel solver for generalized additive models
-
Hegland, M., I. McIntosh, and B. A. Turlach. 1999. A parallel solver for generalized additive models. Comput. Stat. Data Anal., 31(4), 377-396.
-
(1999)
Comput. Stat. Data Anal.
, vol.31
, Issue.4
, pp. 377-396
-
-
Hegland, M.1
McIntosh, I.2
Turlach, B.A.3
-
57
-
-
84856932694
-
Highly parameterized k-means clustering on FPGAs: Comparative results with GPPs and GPUs
-
Cancun, Mexico
-
Hussain, H. M., K. Benkrid, A. T. Erdogan, and H. Seker. 2011. Highly parameterized k-means clustering on FPGAs: Comparative results with GPPs and GPUs. Proc. ReConFig (2011), Cancun, Mexico.
-
(2011)
Proc. ReConFig (2011)
-
-
Hussain, H.M.1
Benkrid, K.2
Erdogan, A.T.3
Seker, H.4
-
58
-
-
0035501906
-
Parallel implementation of the TRANSIMS microsimulation
-
Nagel, K., and M. Rickert. 2001. Parallel implementation of the TRANSIMS microsimulation. Parallel Comput., 27, 1611-1639.
-
(2001)
Parallel Comput.
, vol.27
, pp. 1611-1639
-
-
Nagel, K.1
Rickert, M.2
-
59
-
-
84865265912
-
Parallel computing techniques
-
ed. J. E. Gentle, W. Hadle, Y. Mori Berlin, Germany, Springer
-
Nakano, J. 2004. Parallel computing techniques. In Handbook of computational statistics, ed. J. E. Gentle, W. Hadle, Y. Mori, 237-266. Berlin, Germany, Springer.
-
(2004)
Handbook of Computational Statistics
, pp. 237-266
-
-
Nakano, J.1
-
61
-
-
49049088756
-
GPU computing
-
Owens, J., M. Houston, D. Luebke, S. Green, J. Stone, and J. Phillips. 2008. GPU computing. Proc. IEEE 96(5), 879-899.
-
(2008)
Proc. IEEE
, vol.96
, Issue.5
, pp. 879-899
-
-
Owens, J.1
Houston, M.2
Luebke, D.3
Green, S.4
Stone, J.5
Phillips, J.6
-
63
-
-
84856462102
-
Fast GPU-based locality sensitive hashing for k-nearest neighbor computation
-
Pan, J., and D. Manocha. 2011. Fast GPU-based locality sensitive hashing for k-nearest neighbor computation. GISACM (2011), 211-220.
-
(2011)
GISACM
, vol.2011
, pp. 211-220
-
-
Pan, J.1
Manocha, D.2
-
64
-
-
77951548035
-
Parallel computing for option pricing based on the backward stochastic diffierential equation
-
Berlin, Springer
-
Peng, Y., B. Gong, H. Liu, and Y. Zhang. 2010. Parallel computing for option pricing based on the backward stochastic diffierential equation. High performance computing and applications (Lecture Notes in Computer Science, vol. 5938), 325-330. Berlin, Springer.
-
(2010)
High Performance Computing and Applications (Lecture Notes in Computer Science)
, vol.5938
, pp. 325-330
-
-
Peng, Y.1
Gong, B.2
Liu, H.3
Zhang, Y.4
-
65
-
-
84863018741
-
Option pricing on the GPU with backward stochastic differential equation
-
Fourth International Symposium on Parallel Architectures, Algorithms and Programming
-
Peng, Y., B. Gong, H. Liu, and B. Dai. 2011. Option pricing on the GPU with backward stochastic differential equation. PAAP, 19-23.Fourth International Symposium on Parallel Architectures, Algorithms and Programming.
-
(2011)
PAAP
, pp. 19-23
-
-
Peng, Y.1
Gong, B.2
Liu, H.3
Dai, B.4
-
67
-
-
79953294551
-
GPU-computing in econophysics and statistical physics
-
Preis, T. 2011. GPU-computing in econophysics and statistical physics. EPJ-Special Topics, 194, 87-119.
-
(2011)
EPJ-Special Topics
, vol.194
, pp. 87-119
-
-
Preis, T.1
-
68
-
-
0037189972
-
Parallel distributed kernel estimation
-
Racine, J. 1995. Parallel distributed kernel estimation. Comput. Stat. Data Anal., 40, 293-302.
-
(1995)
Comput. Stat. Data Anal.
, vol.40
, pp. 293-302
-
-
Racine, J.1
-
69
-
-
33845401010
-
Testing the significance of categorical predictor variables in nonparametric regression models
-
DOI 10.1080/07474930600972590, PII N51J080L03191808
-
Racine, J., J. Hart, and Q. Li. 2006. Testing the significance of categorical predictor variables in nonparametric regression models. Econometric Rev., 25, 523-544. (Pubitemid 44905378)
-
(2006)
Econometric Reviews
, vol.25
, Issue.4
, pp. 523-544
-
-
Racine, J.S.1
Hart, J.2
Li, Q.3
-
70
-
-
0032395761
-
A parallel multisplitting solution of the least squares problem
-
Renaut, R. A. 1998. A parallel multisplitting solution of the least squares problem. Numer. Linear Algebra Appl., 5, 11-31. (Pubitemid 128475830)
-
(1998)
Numerical Linear Algebra with Applications
, vol.5
, Issue.1
, pp. 11-31
-
-
Renaut, R.A.1
-
71
-
-
34250722705
-
Simple parallel statistical computing in R
-
Rossini, A. J., L. Tierney, and N. Li. 2007. Simple parallel statistical computing in R. J. Comput. Graph. Stat., 16, 399-420.
-
(2007)
J. Comput. Graph. Stat.
, vol.16
, pp. 399-420
-
-
Rossini, A.J.1
Tierney, L.2
Li, N.3
-
74
-
-
84865232762
-
Domain decomposition of stochastic PDEs and its parallel
-
Sarkar, A., N. Benabbou, and R. Ghanem. 2006. Domain decomposition of stochastic PDEs and its parallel. HPCS 2006, 14-17.
-
(2006)
HPCS
, vol.2006
, pp. 14-17
-
-
Sarkar, A.1
Benabbou, N.2
Ghanem, R.3
-
75
-
-
79952965418
-
Parallel computing for biological data
-
LMU Munchen, Fakultat fur Mathematik, Informatik und Statistik, Munich, Germany
-
Schmidberger, M. 2009. Parallel computing for biological data. Dissertation, LMU Munchen, Fakultat fur Mathematik, Informatik und Statistik, Munich, Germany.
-
(2009)
Dissertation
-
-
Schmidberger, M.1
-
77
-
-
33846572465
-
Parallel exact sampling and evaluation of Gaussian Markov random fields
-
DOI 10.1016/j.csda.2006.01.013, PII S0167947306000181
-
Steinsland, I. 2007. Parallel exact sampling and evaluation of Gaussian Markov random fields. Comput. Stat. Data Anal., 51, 2969-2981. (Pubitemid 46186539)
-
(2007)
Computational Statistics and Data Analysis
, vol.51
, Issue.6
, pp. 2969-2981
-
-
Steinsland, I.1
-
78
-
-
34548073680
-
Performance modeling and Markov chains
-
ed. M. Bernardo and J. Hillston SFM 2007, LNCS 4486. New York Springer
-
Stewart, W. J. 2007. Performance modeling and Markov chains. In Formal methods for performance evaluation, ed. M. Bernardo and J. Hillston, 1-33. SFM 2007, LNCS 4486. New York, Springer.
-
(2007)
Formal Methods for Performance Evaluation
, pp. 1-33
-
-
Stewart, W.J.1
-
79
-
-
77955275495
-
Efficient parallelisation of Metropolis-Hastings algorithms using a prefetching approach
-
Strid, I. 2010. Efficient parallelisation of Metropolis-Hastings algorithms using a prefetching approach. Comput. Stat. Data Anal., 54, 2814-2835.
-
(2010)
Comput. Stat. Data Anal.
, vol.54
, pp. 2814-2835
-
-
Strid, I.1
-
80
-
-
77952417810
-
Domain decomposition of stochastic PDEs: A novel preconditioner and its parallel performance
-
ed. D. Mewhort, N. Cann, G. Slater, and T. Naughton New York Springer
-
Subber, W. and A. Sarkar. 2010. Domain decomposition of stochastic PDEs: A novel preconditioner and its parallel performance. In High performance computing systems and applications, ed. D. Mewhort, N. Cann, G. Slater, and T. Naughton, 251-268. New York, Springer.
-
(2010)
High Performance Computing Systems and Applications
, pp. 251-268
-
-
Subber, W.1
Sarkar, A.2
-
81
-
-
77955516707
-
Understanding GPU programming for statistical computation: Studies in massively parallel massive mixtures
-
Suchard, M. A., Q. Wang, C. Chan, J. Frelinger, A. Cron, and M. West. 2010. Understanding GPU programming for statistical computation: Studies in massively parallel massive mixtures. J. Comput. Graph. Stat., 19(2), 419-438.
-
(2010)
J. Comput. Graph. Stat.
, vol.19
, Issue.2
, pp. 419-438
-
-
Suchard, M.A.1
Wang, Q.2
Chan, C.3
Frelinger, J.4
Cron, A.5
West, M.6
-
82
-
-
84872292011
-
-
ICVGIP, Ahmadabad, India
-
Suri, R., D. Deodhare, and P. Nagabhushan. 2002. Parallel Levenberg-Marquardt-based neural network training on linux clusters-A case study. ICVGIP, Ahmadabad, India.
-
(2002)
Parallel Levenberg-Marquardt-based Neural Network Training on Linux Clusters-A Case Study
-
-
Suri, R.1
Deodhare, D.2
Nagabhushan, P.3
-
84
-
-
79958239560
-
Parallel multivariate slice sampling
-
Tibbits,M.M., M. Haran, and J. C. Liechty. 2010. Parallel multivariate slice sampling. Stat. Comput., 20, 1-16.
-
(2010)
Stat. Comput.
, vol.20
, pp. 1-16
-
-
Tibbits, M.M.1
Haran, M.2
Liechty, J.C.3
-
85
-
-
34547139358
-
Optimized parallel tempering simulations of proteins
-
Trebst, S., M. Troyer, and U. Hansmann. 2006. Optimized parallel tempering simulations of proteins. J. Chem. Phys., 124,174903.
-
(2006)
J. Chem. Phys.
, vol.124
, pp. 174903
-
-
Trebst, S.1
Troyer, M.2
Hansmann, U.3
-
88
-
-
3843084997
-
Parallel algorithms for Markov chain Monte Carlo methods in latent spatial Gaussian models
-
DOI 10.1023/B:STCO.0000035299.51541.5e
-
Whiley, M. and S. P.Wilson. 2004. Parallel algorithms forMarkov chain Monte Carlo in latent spatial Gaussian models. Stat. Comput., 14, 171-179. (Pubitemid 39046708)
-
(2004)
Statistics and Computing
, vol.14
, Issue.3
, pp. 171-179
-
-
Whiley, M.1
Wilson, S.P.2
-
89
-
-
85026233840
-
Parallel Bayesian computation
-
ed. E. J. Kontoghiorghes Boca Raton, FL, Chapman and Hall
-
Wilkinson, D. 2006. Parallel Bayesian computation. In Handbook of parallel computing and statistics, ed. E. J. Kontoghiorghes, 477-508.Boca Raton, FL, Chapman and Hall.
-
(2006)
Handbook of Parallel Computing and Statistics
, pp. 477-508
-
-
Wilkinson, D.1
-
90
-
-
0037408312
-
Modeling uncertainty in flow simulations via generalized polynomial chaos
-
DOI 10.1016/S0021-9991(03)00092-5
-
Xiu, D., and G. E. Karniadakis. 2003. Modeling uncertainty in flow simulations via generalized polynomial chaos. J. Comput. Phys., 187, 137-167 (Pubitemid 36515575)
-
(2003)
Journal of Computational Physics
, vol.187
, Issue.1
, pp. 137-167
-
-
Xiu, D.1
Karniadakis, G.E.2
-
91
-
-
0042007208
-
Parallelizing multiple linear regression for speed and redundancy: An empirical study
-
Xu, M., E. Wegman, and J. Miller. 1991. Parallelizing multiple linear regression for speed and redundancy: An empirical study. J. Stat Comput. Simulation, 39, 205-214.
-
(1991)
J. Stat Comput. Simulation
, Issue.39
, pp. 205-214
-
-
Xu, M.1
Wegman, E.2
Miller, J.3
-
92
-
-
34548569027
-
Parallelizing MCMC for Bayesian spatiotemporal geostatistical models
-
Yan, J., M. K. Cowles, S. Wang, and M. P. Armstrong. 2007. Parallelizing MCMC for Bayesian spatiotemporal geostatistical models. Stat. Comput., 17, 323-335.
-
(2007)
Stat. Comput.
, vol.17
, pp. 323-335
-
-
Yan, J.1
Cowles, M.K.2
Wang, S.3
Armstrong, M.P.4
-
94
-
-
0029544350
-
Efficient parallel global illumination using density-estimation
-
Atlanta, GA, 1995
-
Zareski, D., B. Wade, P. Hubbard, and P. Shirley. 1995. Efficient parallel global illumination using density-estimation. Proc. ACM Parallel Rendering Symposium, 47-54. Atlanta, GA, 1995.
-
(1995)
Proc ACM Parallel Rendering Symposium
, pp. 47-54
-
-
Zareski, D.1
Wade, B.2
Hubbard, P.3
Shirley, P.4
-
95
-
-
27544461140
-
A wavefront parallelisation of CTMC solution using MTBDDs
-
IEEE Computer Society Press, Yokohama, Japan
-
Zhang, Y., D. Parker, and M. Kwiatkowska. 2005. A wavefront parallelisation of CTMC solution using MTBDDs. In DSN'05, 732-742. IEEE Computer Society Press, Yokohama, Japan.
-
(2005)
DSN'05
, pp. 732-742
-
-
Zhang, Y.1
Parker, D.2
Kwiatkowska, M.3
-
96
-
-
78751637391
-
Graphics processing units and high-dimensional optimization
-
Zhou, H., K. Lange, and M. A. Suchard. 2010. Graphics processing units and high-dimensional optimization. Stat. Sci., 25(3), 311-324.
-
(2010)
Stat. Sci.
, vol.25
, Issue.3
, pp. 311-324
-
-
Zhou, H.1
Lange, K.2
Suchard, M.A.3
-
97
-
-
84865276027
-
GPU-accelerated differential evolutionary Markov chain Monte Carlo method for multi-objective optimization over continuous space
-
Washington DC
-
Zhu, W., and Y. Li. 2010. GPU-accelerated differential evolutionary Markov chain Monte Carlo method for multi-objective optimization over continuous space. Proc. 7th IEEE ICAC-BADS, Washington, DC.
-
(2010)
Proc. 7th IEEE ICAC-BADS
-
-
Zhu, W.1
Li, Y.2
|