Publications and Softwares of Kai Wang

New Papers:

1. Kai Wang The Parallel Performance of Sparse Approximate Inverse Preconditioning Based on Processor Virtualization.
2. Kai Wang, and Laxmikant Kale. Properties of Sparse Approximate Inverse Preconditioning.

---

Software packages:

1. DemoBuilder/Editor 2007 screen capturing, recording, and editing solution for windows series operating systems.
   DemoBuilder: A powerful capturing software to capture or record screen, window, and region into static pictures or AVI, WMV and Quicktime movies. It also includes many other functions like screen annotation, windows property manipulator, web pictures capture, password recovery, youtube flash movie download, and screen color picker.
   DemoEditor: An efficient image and movie editing software with the DemoBuilder installation package. It supports about 20 different formats. Functions include image annotation, image rotation, color and batch size adjustment, image mirror and flip and all kinds of filtering operations.
   Download DemoBuilder/Editor 2007 and try now
2. MSP packages --( Readme )----: Parallel multistep successive sparse approximate inverse preconditioning for solving general sparse linear systems (first version), by Kai Wang. (May 20, 2003). Programmed in MPI C.
3. MMSP packages: --( Readme )----: Parallel multilevel sparse approximate inverse preconditioning for solving general sparse linear systems by Kai Wang. (May 20, 2003). Programmed in MPI C.

---

Refereed Papers:

1. Kai Wang and Rui Wang. Nonsingularity Study of SAI Preconditioners for M-matrices. The 2009 International Conference on Scientific Computing, CSC'09: July 13-16, 2009, USA.
2. Kai Wang, Rui Wang, Yanyan Liu, All Shortest Path 2-Interval Routine is NP Complete. To appear in Journal of Applied Mathematics and Computing, 2009
3. Xiuhua Ji, Caiming Zhang1,and Kai Wang. A Fast Two-Dimension 4*4 Inverse Integer Transform Algorithm For Real-Time H.264 Decoder International Journal of Innovative Computing, Information and Control, Vol 5(3), pp. 689-696, 2009.
4. Kai Wang, and Laxmikant Kale. A scalable multigrid solver based on processor virtualization techniques International Conference on Parallel and Distributed Processing. Techniques and Applications, Las Vagas. 2007.
5. Kai Wang, and Laxmikant Kale. Parallelization of Levelset Methods for Solving Solidification Problem. Journal of Parallel and Distributed Computing, Vol. 66, pp. 1379-1386. 2006.
6. Kai Wang, Jun Zhang, and Chi Shen. A Class of Parallel Multilevel Sparse Approximate Inverse Preconditioners for Sparse Linear Systems. Scalable Computing: Practice and Experience Vol 7(2), pp. 93¨C106. 2006.
7. Chi Shen, Jun Zhang, and Kai Wang. Distributed block independent set algorithm and parallel multilevel ILU preconditioners. Journal of Parallel and Distributed Computing Vol. 65, pp. 331-346 (2005).
8. Kai Wang, Sangbae Kim, and Jun Zhang. A Comparative Study on Dynamic and Static Sparsity Patterns in Parallel Sparse Approximate Inverse Preconditioning. Journal of Mathematical Modelling and Algorithms. 2(3): pp. 203--215, 2003.
9. Kai Wang, Sang-Bae Kim, Jun Zhang, Ken go Nakajima, and Hiroshi Okuda. Global and localized parallel preconditioning techniques for large scale solid Earth simulations. Future Generation Computer Systems, 19(4):443 - 456, 2003.
10. Kai Wang, Jun Zhang. MSP: A class of parallel multistep successive sparse approximate inverse preconditioning strategies. SIAM J. Sci. Comput., 24(4):1141--1156, 2003.
11. Kai Wang, Jun Zhang. Multigrid treatment and robustness enhancement for factored sparse approximate inverse preconditioning. Applied Numerical Mathematics, Vol. 43, No. 4, pp. 483-500, 2002.
12. Kai Wang, CM Zhang. Neural network methods to reconstruct the freeform surface. Chinese Journal of Computer Aided Design & Computer Graphics, 1998, Vol.10, No.3, 193-199.
13. Kai Wang, DM Zhu. A research on the complete stability of DCNN. Chinese Pattern Recognition and Artificial Intelligence, 1997, Vol.10, 310-316.
14. K. Wang, J. Zhang, and C. Shen "Parallel Multilevel Sparse Approximate Inverse Preconditioners in Large Sparse Matrix Computations." In Proceedings of the 2003 ACM/IEEE conference on Supercomputing. November 15 - 21, 2003, Phoenix, Arizona, USA
15. K. Wang, S. Kim, J. Zhang. "Global and Localized Parallel Preconditioning Techniques." In proceedings of IEEE 17th International Parallel and Distributed Processing Symposium. April 22 - 26, 2003, Nice, France.
16. C.Shen, J.Zhang, and K.Wang. "Parallel Multilevel Block ILU Preconditioning Techniques for Large Sparse Linear Systems." In proceedings of IEEE 17th International Parallel and Distributed Processing Symposium. April 22 - 26, Nice, France. 2003.
17. Kai Wang, Jun Zhang. A Class of New Parallel Preconditioning Strategies for Solving Large Sparse Linear Systems. In Proceedings of The International Conference on Parallel and Distributed Processing Techniques and Applications, pp. 199-205, Las Vegas, Nevada. June 24-27, 2002.

---

Conference Papers:

1. Kai Wang. ``Sparse Approximate Inverse Preconditioning Based on Processor Virtualization.'' Charm++ Workshop 2004, Champaign, IL, Oct, 2004.
2. Kai Wang, and Jun Zhang. ``Robust parallel preconditioning techniques for solving general sparse linear systems'', in Proceedings of the 2002 International Symposium on Distributed Computing and Applications to Business, Engineering and Science, Wuxi, China, December 16 - 19, 2002, pp.~109--113, Wuhan University of Technology Press, Wuhan, China.
3. Kai Wang, Jun Zhang. Robust parallel matrix preconditioning through successive sparse approximate inverse. In Abstracts of the 2nd International Workshop on Parallel Matrix Algorithms and Applications, Switzerland, November 7 - 10, 2002, pp.~59.
4. Kai Wang, Jun Zhang. Parallel Multilevel Sparse Approximate Inverse Preconditioners for Solving Large Sparse Linear Systems. SIAM 50th Anniversary and 2002 Annual meeting, Philadelphia, PA. July 8-12, 2002.
5. Kai Wang, Jun Zhang. Multistep Sparse Approximate Inverse Preconditioning Strategies. In Proceedings of the 2002 Copper Mountain Conference on Iterative Methods, Copper Mountains, CO, March 24-29, 2002.
6. Kai Wang, Jun Zhang. Parallel Multistep Sparse Approximate Inverse Preconditioning Strategies for General Sparse Matrices. Bay Area Scientific Computing Day, March 2, 2002
7. Jun Zhang, Kai Wang, and Chi Shen. Parallel Preconditioning Techniques for Solid Earth Simulation, in Abstracts of "Workshop on Scalable Solver Software 2002: Multiscale Computing and Computational Earth Science", pp. 23 -- 24, December 3 - 5, 2001, Tokyo, Japan.
8. Kai Wang, CM Zhang. Improvements of Neural Network Method to Reconstruct the Freeform Surface. International Conference on Manufacturing Automaton 1997. (ICMA'97). HongKong, 672-679. April 28, 1997.
9. Kai Wang. Fractal Compression. The Tenth Computer Conference of China. Jinan, 580-585. July 4, 1996.

---

Invited Talks

1. Kai Wang. May 18, 2005, Processor Virtualization for High Performance Computing. Intel Corporation.
2. Kai Wang. July 12, 2005, High Performance Computing in Biomolecular Simulation. National Institute of Health.

---

Book:

1. Rui Wang, Kai Wang. C and C++ Technique. People's Post and Telecom Press. July, 1999.

---

Multimedia CD:

1. Kai Wang. Practical Photography. The Machinery and Industrial Publishing House. April, 1998.

---

Thesis:

1. PhD: High Performance Preconditioning Techniques for Solving General Sparse Linear Systems. Computer Science, University of Kentucky, 2003.
2. Master: 3D Fast Volume Rendering Algorithm. Computer Science, Shandong University. June, 1997.