High performance manycore solvers for reservoir simulation

ECMOR 2010 - 12th European Conference on the Mathematics of Oil Recovery

Volumn , Issue , 2010, Pages

  Sudan, H ^a   Klie, H ^a   Li, R ^b   Saad, Y ^b  

^a ConocoPhillips ^*  (United States)

^b UNIVERSITY OF MINNESOTA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DIGITAL ARITHMETIC; LINEAR SYSTEMS; PETROLEUM RESERVOIRS;

ALGORITHMIC DESIGN; COMPOSITIONAL FLOW; COMPUTATIONAL EXPERIMENT; FLOATING POINT OPERATIONS; LARGE SPARSE LINEAR SYSTEMS; MANY-CORE ARCHITECTURE; RESERVOIR SIMULATION; SINGLE INSTRUCTION MULTIPLE THREADS (SIMT);

COMPUTER ARCHITECTURE;

EID: 85087192496     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3997/2214-4609.20144961     Document Type: Conference Paper

References (17)

1. T. M. Al-Shaalan A. H. Dogru H. Klie and M.F. Wheeler. Studies of Robust Two-Stage Preconditioners for the Solution of Fully Implicit Multiphase Problems. SPE Reservoir Simulation Symposium SPE paper N. 118722 The Woodlands Texas Feb. 2-4 2009.
2. S. Barrachina M. Castillo F.D. Igual R. Mayo E.S. Quintana-Orti and G. Quintana-Orti. Exploiting the Capabilities of GPUs for Dense Matrix Computations. Technical Report ICC 01-11-2008 Departamento de Ingenieria y Ciencias de Computadores Castellon Spain 2008.
3. M. M. Baskaran and R. Bordawekar. Optimizing Sparse Matrix-Vector Multiplication on GPUs. Technical report IBM Research 2009.
4. N. Bell M. Garland. Implementing sparse matrix-vector multiplication on throughput-oriented processors. SC '09: Proceedings of the Conference on High Performance Computing Networking Storage and Analysis ACM 1-11 2009.
5. L. Buatois G. Caumon B. Levy. Concurrent number cruncher: A GPU Implementation of a General Sparse Linear Solver. International Journal of Parallel Emergent and Distributed Systems 24: 205-223 2009.
6. M.A. Christie and M.J. Blunt. Tenth SPE Comparative Solution Project: A Comparison of Upscaling Techniques. SPE Reservoir Simulation Symposium SPE paper N. 72469 Houston Feb. 11-14 2001.
7. B. Deschizeaux and J-Y. Blanc. Imaging Earth's Subsurface using CUDA. GPU Gems 3 Chapter 38 H. Nguyen editor NVIDIA Corporation 831-850 2008.
8. A.H. Dogru L.S.K. Fung U. Middya T.M. Al-Shaalan J.A. Pita K. Hemanth Kumar H.J. Su J.C.T. Tan H. Hoy W.T. Dreiman W.A. Hahn R.Al-Harbi A. Al-Youbi N.M. Al-Zamel. M.Mezghani T. Al-Mani. A Next Generation Parallel Reservoir Simulator for Giant Reservoirs. SPE Reservoir Simulation Symposium SPE paper N. 119272 The Woodlands TX Feb 2009
9. J.A. George and J.W. Liu. Computer Solution of Large Sparse Positive Definite Systems. Prentice-Hall Englewwod Cliffs N.J. 1981.
10. G. Karypis and V. Kumar. A Parallel Algorithm ofor Multilevel Graph Partitioning and Sparse Matrix Ordering. Journal of Parallel and Distributed Computing 48: 71-95 1998.
11. R.Li Y. Saad. Preconditioned Iterative Linear Solvers on GPUs. In preparation 2010.
12. R. Li H. Klie H. Sudan and Y. Saad. Towards realistic reservoir simulations on manycore platforms. SPE Journal 2010. Submitted.
13. E. Lindholm J. Nickolls S. Oberman and J. Montrym. NVIDIA Tesla: A Unified Graphics and Computing Architecture. Micro IEEE. 28:39-55 2008.
14. P. Micikevicius. 3D finite difference computation on GPUs using CUDA. Proceedings of 2nd Workshop on General Purpose Processing on Graphics Processing Units ACM 79-84 2009.
15. J. Nickolls I.Buck M. Garland and K. Skadron. Scalable Parallel Programming with CUDA. Queue ACM. 6:40-53 2008.
16. Y. Saad. Iterative Methods for Sparse Linear Systems. 2nd edition Society for Industrial and Applied Mathematics Philadelphia 2003.
17. M. Wang H. Klie M. Parashar and H. Sudan. Solving Sparse Linear Systems on NVIDIA Tesla GPUs. Lecture Notes in Computer Science Springer 5544: 864-873 2009.