ViennaCL - The Vienna Computing Library: Bibliography

ViennaCL - The Vienna Computing Library 1.7.1 Free open-source GPU-accelerated linear algebra and solver library. |

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Bibliography

[1]

  Armadillo Library.

[2]

  ATI Knowledge Base - Double Support.

[3]

  ATI Stream SDK.

[4]

  ATI Stream SDK - Documentation.

[5]

  N. Bell, S. Dalton, and L. Olson. Exposing Fine-Grained Parallelism in Algebraic Multigrid Methods. SIAM J. Sci. Comp., 34(4):C123–C152, 2012.

[6]

  Boost C++ Libraries.

[7]

  E. Chow and A. Patel. Fine-Grained Parallel Incomplete LU Factorization. SIAM J. Sci. Comp., 37(2):C169–C193, 2015.

[8]

  CMake.

[9]

  E. Cuthill and J. McKee. Reducing the bandwidth of sparse symmetric matrices. In Proceedings of the 1969 24th National Conference, ACM '69, pages 157–172. ACM, 1969.

[10]

  DarwinPorts.

[11]

  Eigen Library.

[12]

  Fink.

[13]

  G. H. Golub and C. F. Van Loan. Matrix Computations. John Hopkins University Press, 1996.

[14]

  J. L. Greathouse and M. Daga. Efficient Sparse Matrix-Vector Multiplication on GPUs Using the CSR Storage Format. In Proc. HPC Netw., Stor. Anal., SC '14, pages 769–780. ACM, 2014.

[15]

  F. Gremse, A. Höfter, L. O. Schwen, F. Kiessling, and U. Naumann. GPU-Accelerated Sparse Matrix-Matrix Multiplication by Iterative Row Merging. SIAM J. Sci. Comp., 37(1):C54–C71, 2015.

[16]

  M. J. Grote and T. Huckle. Parallel Preconditioning with Sparse Approximate Inverses. SIAM J. Sci. Comp., pages 838–853, 1997.

[17]

  T. Huckle. Factorized Sparse Approximate Inverses for Preconditioning. J. Supercomput., pages 109–117, 2003.

[18]

  Khronos OpenCL.

[19]

  D. D. Lee and S. H. Seung. Algorithms for Non-negative Matrix Factorization. In Advances in Neural Information Processing Systems 13, page 556–562, 2000.

[20]

  J. G. Lewis. Algorithm 582: The gibbs-poole-stockmeyer and gibbs-king algorithms for reordering sparse matrices. ACM Trans. Math. Softw., 8:190–194, 1982.

[21]

  MacPorts.

[22]

  MTL 4 Library.

[23]

  NVIDIA CUDA.

[24]

  NVIDIA OpenCL.

[25]

  OpenMP.

[26]

  Y. Saad. Iterative Methods for Sparse Linear Systems, Second Edition. Society for Industrial and Applied Mathematics, April 2003.

[27]

  Horst D. Simon. The lanczos algorithm with partial reorthogonalization. Mathematics of Computation, 42:115–142, 1984.

[28]

  U. Trottenberg, C. Oosterlee, and A. Schüller. Multigrid. Academic Press, 2001.

[29]

  Xcode Developer Tools.

[30]

  U. M. Yang. Numerical Solutions of Partial Differential Equations on Parallel Computers, chapter Parallel Algebraic Multigrid Methods - High Performance Preconditioners, pages 209–236. Lecture Notes in Computational Science and Engineering. Springer, 2006.