메뉴 건너뛰기




Volumn 50, Issue 6, 2017, Pages 945-963

Parallelizing Nonlinear Least-Squares Regression with Application to Analyses of Microalgae

Author keywords

Environmental modeling; microalgae; nonlinear regression; parallel computing

Indexed keywords


EID: 85017560923     PISSN: 00032719     EISSN: 1532236X     Source Type: Journal    
DOI: 10.1080/00032719.2016.1207656     Document Type: Article
Times cited : (2)

References (30)
  • 2
    • 85017542806 scopus 로고    scopus 로고
    • CUDA., (accessed June 1, 2016). Note: The ‘Compute Unified Device Architecture’ is a de-facto standard programming language (freeware) developed by the NVIDIA Corporation that facilitates the use of GPUs for general purpose parallel computations. CUDA code can be straightforwardly merged with CPU code written in C/C++/Fortran in order to develop a combined CPU+GPU computation environment
    • CUDA. 2016. https://developer.nvidia.com/category/zone/cuda-zone, https://developer.nvidia.com/cuda-downloads (accessed June 1, 2016). Note:The ‘Compute Unified Device Architecture’ is a de-facto standard programming language (freeware) developed by the NVIDIA Corporation that facilitates the use of GPUs for general purpose parallel computations. CUDA code can be straightforwardly merged with CPU code written in C/C++/Fortran in order to develop a combined CPU+GPU computation environment.
    • (2016)
  • 4
    • 84893541927 scopus 로고    scopus 로고
    • Parallel L-BFGS-B algorithm on GPU
    • Fei, Y., G., Rong, B., Wang, and W., Wang. 2014. Parallel L-BFGS-B algorithm on GPU. Computers & Graphics 40:1–9. doi:10.1016/j.cag.2014.01.002
    • (2014) Computers & Graphics , vol.40 , pp. 1-9
    • Fei, Y.1    Rong, G.2    Wang, B.3    Wang, W.4
  • 5
    • 0032503986 scopus 로고    scopus 로고
    • Primary production of the biosphere: Integrating terrestrial and oceanic components
    • Field, C., M., Behrenfeld, J., Randerson, and P., Falkowski. 1998. Primary production of the biosphere:Integrating terrestrial and oceanic components. Science 281:237–40. doi:10.1126/science.281.5374.237
    • (1998) Science , vol.281 , pp. 237-240
    • Field, C.1    Behrenfeld, M.2    Randerson, J.3    Falkowski, P.4
  • 6
    • 84923415374 scopus 로고    scopus 로고
    • Cell-level modeling of nutrient competition on the growth of microalgal biomass
    • Fleming, S., and F., Vogt. 2015. Cell-level modeling of nutrient competition on the growth of microalgal biomass. Journal of Chemometrics 29:139–41. doi:10.1002/cem.2656
    • (2015) Journal of Chemometrics , vol.29 , pp. 139-141
    • Fleming, S.1    Vogt, F.2
  • 7
    • 85017535621 scopus 로고    scopus 로고
    • GNU scientific library reference manual, software V1.12, 3rd ed. Network Theory Ltd. (accessed June 1, 2016)
    • Galassi, M., J., Davies, J., Theiler, B., Gough, G., Jungman, P., Alken, M., Booth, and F., Rossi. 2009. GNU scientific library reference manual, software V1.12, 3rd ed. Network Theory Ltd. http://www.gnu.org/software/gsl/ (accessed June 1, 2016).
    • (2009)
    • Galassi, M.1    Davies, J.2    Theiler, J.3    Gough, B.4    Jungman, G.5    Alken, P.6    Booth, M.7    Rossi, F.8
  • 8
    • 0035029728 scopus 로고    scopus 로고
    • Fourier transform infrared spectroscopy as a novel tool to investigate changes in intracellular macromolecular pools in the marine microalga Chaetoceros muellerii (Bacillariophyceae)
    • Giordano, M., M., Kansiz, P., Heraud, J., Beardall, J., Wood, and D., McNaughton. 2001. Fourier transform infrared spectroscopy as a novel tool to investigate changes in intracellular macromolecular pools in the marine microalga Chaetoceros muellerii (Bacillariophyceae). Journal of Phycology 37:271–79. doi:10.1046/j.1529-8817.2001.037002271.x
    • (2001) Journal of Phycology , vol.37 , pp. 271-279
    • Giordano, M.1    Kansiz, M.2    Heraud, P.3    Beardall, J.4    Wood, J.5    McNaughton, D.6
  • 9
    • 85017569735 scopus 로고    scopus 로고
    • GNU., (accessed June 1, 2016)
    • GNU. 2016. http://www.gnu.org/software/gcc/ (accessed June 1, 2016).
    • (2016)
  • 11
  • 12
    • 84866046509 scopus 로고    scopus 로고
    • Introducing nonlinear, multivariate ‘predictor surfaces’ for quantitative modeling of chemical systems with higher-order, coupled predictor variables
    • Horton, R., M., McConico, C., Landry, T., Tran, and F., Vogt. 2012. Introducing nonlinear, multivariate ‘predictor surfaces’ for quantitative modeling of chemical systems with higher-order, coupled predictor variables. Analytica Chimica Acta 746:1–14. doi:10.1016/j.aca.2012.08.002
    • (2012) Analytica Chimica Acta , vol.746 , pp. 1-14
    • Horton, R.1    McConico, M.2    Landry, C.3    Tran, T.4    Vogt, F.5
  • 13
    • 85017536697 scopus 로고    scopus 로고
    • Intel., (accessed June 1, 2016)
    • Intel. 2016. https://en.wikipedia.org/wiki/Xeon_Phi (accessed June 1, 2016).
    • (2016)
  • 14
    • 85017556208 scopus 로고    scopus 로고
    • Intel Xeon phi coprocessor high-performance programming. Waltham, MA: Morgan Kaufmann
    • Jeffers, J., and J., Reinders. 2013. Intel Xeon phi coprocessor high-performance programming. Waltham, MA:Morgan Kaufmann
    • (2013)
    • Jeffers, J.1    Reinders, J.2
  • 15
    • 85017533991 scopus 로고    scopus 로고
    • The NLopt nonlinear-optimization package. (accessed June 1, 2016)
    • Johnson, S., 2016. The NLopt nonlinear-optimization package. http://ab-initio.mit.edu/wiki/index.php/NLopt (accessed June 1, 2016).
    • (2016)
    • Johnson, S.1
  • 16
    • 84871455938 scopus 로고    scopus 로고
    • Monitoring chemical impacts on cell cultures by means of image analyses
    • McConico, M., R., Horton, K., Witt, and F., Vogt. 2012. Monitoring chemical impacts on cell cultures by means of image analyses. Journal of Chemometrics 26:585–97. doi:10.1002/cem.2481
    • (2012) Journal of Chemometrics , vol.26 , pp. 585-597
    • McConico, M.1    Horton, R.2    Witt, K.3    Vogt, F.4
  • 17
    • 84886427577 scopus 로고    scopus 로고
    • Assessing impacts of nutrient competition on the chemical composition of individual microalgae species
    • McConico, M., and F., Vogt. 2013. Assessing impacts of nutrient competition on the chemical composition of individual microalgae species. Analytical Letters 46:2752–66. doi:10.1080/00032719.2013.811682
    • (2013) Analytical Letters , vol.46 , pp. 2752-2766
    • McConico, M.1    Vogt, F.2
  • 18
    • 0037377425 scopus 로고    scopus 로고
    • Nonlinear optimization and parallel computing
    • Migdalas, A., G., Toraldo, and V., Kumar. 2003. Nonlinear optimization and parallel computing. Parallel Computing 29:375–91. doi:10.1016/S0167-8191(03)00013-9
    • (2003) Parallel Computing , vol.29 , pp. 375-391
    • Migdalas, A.1    Toraldo, G.2    Kumar, V.3
  • 19
    • 70749101786 scopus 로고    scopus 로고
    • FT-IR microspectroscopy enhances biological and ecological analysis of algae
    • Murdock, J., and D., Wetzel. 2009. FT-IR microspectroscopy enhances biological and ecological analysis of algae. Applied Spectroscopy Reviews 44:335–61. doi:10.1080/05704920902907440
    • (2009) Applied Spectroscopy Reviews , vol.44 , pp. 335-361
    • Murdock, J.1    Wetzel, D.2
  • 20
    • 85017546748 scopus 로고    scopus 로고
    • OpenMPI., (accessed June 1, 2016)
    • OpenMPI. 2016. http://www.open-mpi.org/software/ompi/v1.10/ (accessed June 1, 2016).
    • (2016)
  • 21
    • 85017566737 scopus 로고    scopus 로고
    • Parallel programming with MPI. San Francisco, CA: Morgan Kaufman Publishers
    • Pachero, P., 1997. Parallel programming with MPI. San Francisco, CA:Morgan Kaufman Publishers.
    • (1997)
    • Pachero, P.1
  • 24
    • 84884138181 scopus 로고    scopus 로고
    • Information fusion via constrained principal component regression (PCR) for robust quantification with incomplete calibrations
    • Vogt, F., 2013. Information fusion via constrained principal component regression (PCR) for robust quantification with incomplete calibrations. Analytica Chimica Acta 797:20–29. doi:10.1016/j.aca.2013.08.036
    • (2013) Analytica Chimica Acta , vol.797 , pp. 20-29
    • Vogt, F.1
  • 25
    • 84927574085 scopus 로고    scopus 로고
    • Quo vadis, chemometrics?
    • Vogt, F., 2014. Quo vadis, chemometrics? Journal of Chemometrics 28:785–88. doi:10.1002/cem.2684
    • (2014) Journal of Chemometrics , vol.28 , pp. 785-788
    • Vogt, F.1
  • 26
    • 84923474893 scopus 로고    scopus 로고
    • A self-guided search for good local minima of the sum-of-squared-error (SSE) in nonlinear least-squares regression
    • Note: The abbreviations SSE and RSS are used interchangeably
    • Vogt, F., 2015. A self-guided search for good local minima of the sum-of-squared-error (SSE) in nonlinear least-squares regression. Journal of Chemometrics 29:71–79. doi:10.1002/cem.2662. Note:The abbreviations SSE and RSS are used interchangeably.
    • (2015) Journal of Chemometrics , vol.29 , pp. 71-79
    • Vogt, F.1
  • 27
    • 82255192408 scopus 로고    scopus 로고
    • Polynomial multivariate least-squares regression for modeling nonlinear data applied to in-depth characterization of chromatographic resolution
    • Vogt, F., F., Gritti, and G., Guiochon. 2011. Polynomial multivariate least-squares regression for modeling nonlinear data applied to in-depth characterization of chromatographic resolution. Journal of Chemometrics 25:575–85. doi:10.1002/cem.1403
    • (2011) Journal of Chemometrics , vol.25 , pp. 575-585
    • Vogt, F.1    Gritti, F.2    Guiochon, G.3
  • 28
    • 84925256413 scopus 로고    scopus 로고
    • Spectroscopic analyses of chemical adaptation processes within microalgal biomass in response to changing environments
    • Vogt, F., and L., White. 2015. Spectroscopic analyses of chemical adaptation processes within microalgal biomass in response to changing environments. Analytica Chimica Acta 867:18–28. doi:10.1016/j.aca.2015.02.005
    • (2015) Analytica Chimica Acta , vol.867 , pp. 18-28
    • Vogt, F.1    White, L.2
  • 29
    • 84900296355 scopus 로고    scopus 로고
    • Impacts of nutrient competition on microalgae biomass production
    • White, L., D., Martin, K., Witt, and F., Vogt. 2014. Impacts of nutrient competition on microalgae biomass production. Journal of Chemometrics 28:448–61. doi:10.1002/cem.2534
    • (2014) Journal of Chemometrics , vol.28 , pp. 448-461
    • White, L.1    Martin, D.2    Witt, K.3    Vogt, F.4
  • 30
    • 85017549158 scopus 로고    scopus 로고
    • Wikipedia, (accessed June 1, 2016)
    • Wikipedia. 2016. https://en.wikipedia.org/wiki/Gaussian_function (accessed June 1, 2016).
    • (2016)


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.