cuda fortran for scientists and engineers || references

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References Barone, L., Marinari, E., Organtini, G., Ricci-Tersenghi, F., 2006. Programmazione Scientiﬁca. Linguaggio C, algoritmi e modelli nella scienza. Pearson Education, Milan, Italy. Cooley, J., Tukey, J., 1965. An Algorithm for the Machine Calculation of Complex Fourier Series. Bell Telephone Laboratories,New York, NY. Dowd, K., Severance, C.R., 1998. High Performance Computing, 2nd edn. O’Reilly & Associates, Cambridge. Ferziger, J.H.,1981. Numerical Methods for Engineering Application. Wiley, New York. Ferziger, J.H., Peri´ c, M., 2001. Computational Methods for Fluid Dynamics, third ed. Springer, Berlin, Germany. Garg, R.P., Sharapov, I.A., 2002. Techniques for Optimizing Applications: High-Performance Computing. Prentice Hall PTR, Upper Saddle River, NJ. Gropp, W., Lusk, E., Skjellum, A., 1999. Using MPI: Portable Parallel Programming with the Message-Passing Interface. MIT Press, Cambridge, MA. Higham, D., 2002. Accuracy and Stability of Numerical Algorithms. SIAM: Society for Industrial and Applied Mathematics, Philadelphia, PA. Higham, D., 2004. An Introduction to Financial Option Valuation: Mathematics, Stochastics, and Computation. Cambridge University Press. Kahan, W., 1965. Further remarks on reducing truncation errors. Communications of the ACM 8 (1), 40. Kirk, D., Hwu, W., 2012. Programming Massively Parallel Processors. A Hands-on Approach, second ed. Morgan Kaufmann Elsevier, Burlington, MA. Metcalf, M., Reid, J., Cohen, M., 2011. Modern Fortran Explained. Oxford University Press, Oxford, UK. Moin, P., 2001. Fundamentals of Engineering Numerical Analysis. Cambridge University Press. Sanders, J., Kandrot, E., 2011. CUDA by Example: An Introduction to General-Purpose GPU Programming. Addison-Wesley, Upper Saddle River, NJ. Snir, M., 1996. MPI: The Complete Reference. MIT Press, Cambridge, MA. Solomon, C., Brecon, T., 2011. Fundamentals of Digital Image Processing: A Practical Approach with Examples. Wiley, New York. Trefethen, L., 2000. Spectral Methods in MATLAB. SIAM: Society for Industrial and Applied Mathematics, Philadelphia, PA. Van, L.C.F., 1992. Computational Frameworks for the Fast Fourier Transform. SIAM: Society for Industrial and Applied Mathematics, Philadelphia, PA. Willmott, P., Howison, S., Dewynne, J., 1995. The Mathematics of Financial Derivatives: A Student Introduction. Cambridge University Press. Wilt, N., 2013. The CUDA Handbook: A Comprehensive Guide to GPU Programming. Addison-Wesley Professional. CUDA Fortran for Scientists and Engineers. http://dx.doi.org/10.1016/B978-0-12-416970-8.00020-1 © 2013 Elsevier Inc. All rights reserved. 317

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Page 1: CUDA Fortran for Scientists and Engineers || References

References

Barone, L., Marinari, E., Organtini, G., Ricci-Tersenghi, F., 2006. Programmazione Scientifica. Linguaggio C,algoritmi e modelli nella scienza. Pearson Education, Milan, Italy.

Cooley, J., Tukey, J., 1965. An Algorithm for the Machine Calculation of Complex Fourier Series. Bell TelephoneLaboratories, New York, NY.

Dowd, K., Severance, C.R., 1998. High Performance Computing, 2nd edn. O’Reilly & Associates, Cambridge.

Ferziger, J.H., 1981. Numerical Methods for Engineering Application. Wiley, New York.

Ferziger, J.H., Peric, M., 2001. Computational Methods for Fluid Dynamics, third ed. Springer, Berlin, Germany.

Garg, R.P., Sharapov, I.A., 2002. Techniques for Optimizing Applications: High-Performance Computing. PrenticeHall PTR, Upper Saddle River, NJ.

Gropp, W., Lusk, E., Skjellum, A., 1999. Using MPI: Portable Parallel Programming with the Message-PassingInterface. MIT Press, Cambridge, MA.

Higham, D., 2002. Accuracy and Stability of Numerical Algorithms. SIAM: Society for Industrial and AppliedMathematics, Philadelphia, PA.

Higham, D., 2004. An Introduction to Financial Option Valuation: Mathematics, Stochastics, and Computation.Cambridge University Press.

Kahan, W., 1965. Further remarks on reducing truncation errors. Communications of the ACM 8 (1), 40.

Kirk, D., Hwu, W., 2012. Programming Massively Parallel Processors. A Hands-on Approach, second ed. MorganKaufmann Elsevier, Burlington, MA.

Metcalf, M., Reid, J., Cohen, M., 2011. Modern Fortran Explained. Oxford University Press, Oxford, UK.

Moin, P., 2001. Fundamentals of Engineering Numerical Analysis. Cambridge University Press.

Sanders, J., Kandrot, E., 2011. CUDA by Example: An Introduction to General-Purpose GPU Programming.Addison-Wesley, Upper Saddle River, NJ.

Snir, M., 1996. MPI: The Complete Reference. MIT Press, Cambridge, MA.

Solomon, C., Brecon, T., 2011. Fundamentals of Digital Image Processing: A Practical Approach with Examples.Wiley, New York.

Trefethen, L., 2000. Spectral Methods in MATLAB. SIAM: Society for Industrial and Applied Mathematics,Philadelphia, PA.

Van, L.C.F., 1992. Computational Frameworks for the Fast Fourier Transform. SIAM: Society for Industrial andApplied Mathematics, Philadelphia, PA.

Willmott, P., Howison, S., Dewynne, J., 1995. The Mathematics of Financial Derivatives: A Student Introduction.Cambridge University Press.

Wilt, N., 2013. The CUDA Handbook: A Comprehensive Guide to GPU Programming. Addison-WesleyProfessional.

CUDA Fortran for Scientists and Engineers. http://dx.doi.org/10.1016/B978-0-12-416970-8.00020-1© 2013 Elsevier Inc. All rights reserved.

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