论文信息 - Numerical Simulations on PC Graphics Hardware

Numerical Simulations on PC Graphics Hardware

On recent PC graphics cards, fully programmable parallel geometry and pixel units are available providing powerful instruction sets to perform arithmetic and logical operations. In addition to computational functionality, pixel (fragment) units also provide an efficient memory interface to local graphics data.

[1] Lawrence J. Rosenblum,et al. Scientific visualization : advances and challenges , 1994 .

[2] Ronald Peikert,et al. The "Parallel Vectors" operator-a vector field visualization primitive , 1999, Proceedings Visualization '99 (Cat. No.99CB37067).

[3] William R. Mark,et al. Cg: a system for programming graphics hardware in a C-like language , 2003, ACM Trans. Graph..

[4] Kenneth Moreland,et al. The FFT on a GPU , 2003, HWWS '03.

[5] Robert S. Laramee,et al. The State of the Art in Flow Visualisation: Feature Extraction and Tracking , 2003, Comput. Graph. Forum.

[6] Eitan Grinspun,et al. Sparse matrix solvers on the GPU: conjugate gradients and multigrid , 2003, SIGGRAPH Courses.

[7] Rüdiger Westermann,et al. Linear algebra operators for GPU implementation of numerical algorithms , 2003, SIGGRAPH Courses.

[8] Jos Stam,et al. Stable fluids , 1999, SIGGRAPH.

[9] Rüdiger Westermann,et al. UberFlow: a GPU-based particle engine , 2004, SIGGRAPH '04.

[10] Alexandru Telea,et al. Simplified representation of vector fields , 1999, Proceedings Visualization '99 (Cat. No.99CB37067).

[11] J. Steinhoff,et al. Modification of the Euler equations for ‘‘vorticity confinement’’: Application to the computation of interacting vortex rings , 1994 .

[12] Greg Humphreys,et al. A multigrid solver for boundary value problems using programmable graphics hardware , 2003, HWWS '03.