Publications

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Conference Paper
Pei, Y., Q. Cao, G. Bosilca, P. Luszczek, V. Eijkhout, and J. Dongarra, “Communication Avoiding 2D Stencil Implementations over PaRSEC Task-Based Runtime,” 2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), New Orleans, LA, IEEE, May 2020.  (1.33 MB)
Conference Proceedings
Eidson, T., J. Dongarra, and V. Eijkhout, “Applying Aspect-Oriented Programming Concepts to a Component-based Programming Model,” IPDPS 2003, Workshop on NSF-Next Generation Software, Nice, France, March 2003.  (66.99 KB)
Eidson, T., V. Eijkhout, and J. Dongarra, “Improvements in the Efficient Composition of Applications,” IPDPS 2004, NGS Workshop (to appear), Sante Fe, 00 2004.  (42.85 KB)
Dongarra, J., V. Eijkhout, and P. Luszczek, “Recursive approach in sparse matrix LU factorization,” Proceedings of 1st SGI Users Conference, Cracow, Poland (ACC Cyfronet UMM, 2000), pp. 409-418, January 2000.  (176.14 KB)
Beck, M., J. Dongarra, V. Eijkhout, M. Langston, T. Moore, and J. Plank, “Scalable, Trustworthy Network Computing Using Untrusted Intermediaries: A Position Paper,” DOE/NSF Workshop on New Directions in Cyber-Security in Large-Scale Networks: Development Obstacles, National Conference Center - Landsdowne, Virginia, March 2003.  (54.62 KB)
Arnold, D., S. Blackford, J. Dongarra, V. Eijkhout, and T. Xu, “Seamless Access to Adaptive Solver Algorithms,” Proceedings of 16th IMACS World Congress 2000 on Scientific Computing, Applications Mathematics and Simulation, Lausanne, Switzerland, August 2000.  (151.42 KB)
Demmel, J., J. Dongarra, V. Eijkhout, E. Fuentes, A. Petitet, R. Vuduc, C. Whaley, and K. Yelick, “Self Adapting Linear Algebra Algorithms and Software,” IEEE Proceedings (to appear), 00 2004.  (587.67 KB)
Journal Article
Bhowmick, S., V. Eijkhout, Y. Freund, E. Fuentes, and D. Keyes, “Application of Machine Learning to the Selection of Sparse Linear Solvers,” International Journal of High Performance Computing Applications (submitted), 00 2006.  (392.96 KB)
Eijkhout, V., E. Fuentes, T. Eidson, and J. Dongarra, “The Component Structure of a Self-Adapting Numerical Software System,” International Journal of Parallel Programming, vol. 33, no. 2, June 2005.  (64.88 KB)
Dongarra, J., V. Eijkhout, and H. van der Vorst, “An Iterative Solver Benchmark,” Scientific Programming (to appear), 00 2002.  (142.67 KB)
Dongarra, J., V. Eijkhout, and H. van der Vorst, “Iterative Solver Benchmark (LAPACK Working Note 152),” Scientific Programming, vol. 9, no. 4, pp. 223-231, 00 2001.  (168.05 KB)
Dongarra, J., and V. Eijkhout, “Numerical Linear Algebra,” Encyclopedia of Computer Science and Technology, eds. Kent, A., Williams, J., vol. 41, pp. 207-233, August 1999.  (262 KB)
Dongarra, J., and V. Eijkhout, “Numerical Linear Algebra Algorithms and Software,” Journal of Computational and Applied Mathematics, vol. 123, no. 1-2, pp. 489-514, October 1999.  (258.62 KB)
Dongarra, J., V. Eijkhout, and P. Luszczek, “Recursive Approach in Sparse Matrix LU Factorization,” Scientific Programming, vol. 9, no. 1, pp. 51-60, 00 2001.  (217.16 KB)
Dongarra, J., and V. Eijkhout, “Self Adapting Numerical Algorithm for Next Generation Applications,” International Journal of High Performance Computing Applications, vol. 17, no. 2, pp. 125-132, January 2003.  (479.18 KB)
Bosilca, G., Z. Chen, J. Dongarra, V. Eijkhout, G. Fagg, E. Fuentes, J. Langou, P. Luszczek, J. Pjesivac–Grbovic, K. Seymour, et al., “Self Adapting Numerical Software SANS Effort,” IBM Journal of Research and Development, vol. 50, no. 2/3, pp. 223-238, January 2006.  (357.53 KB)
Dongarra, J., and V. Eijkhout, “Self-Adapting Numerical Software and Automatic Tuning of Heuristics,” Lecture Notes in Computer Science, vol. 2660, Melbourne, Australia, Springer Verlag, pp. 759-770, June 2003.  (45.95 KB)
Tech Report
Eijkhout, V., “Automatic Determination of Matrix-Blocks,” Lapack Working Note 151, University of Tennessee Computer Science Technical Report, no. UT-CS-01-458, January 2001.  (1.15 MB)
Eijkhout, V., “On the Existence Problem of Incomplete Factorisation Methods,” University of Tennessee Computer Science Department Technical Report, no. UT-CS-99-435, December 1999.  (222.2 KB)
Dongarra, J., and V. Eijkhout, “Finite-choice Algorithm Optimization in Conjugate Gradients (LAPACK Working Note 159),” University of Tennessee Computer Science Technical Report, UT-CS-03-502, January 2003.  (64.52 KB)
Eijkhout, V., “Numerical Metadata API Reference,” Innovative Computing Laboratory Technical Report, February 2007.  (454.79 KB)
Buttari, A., V. Eijkhout, J. Langou, and S. Filippone, “Performance Optimization and Modeling of Blocked Sparse Kernels,” ICL Technical Report, no. ICL-UT-04-05, 00 2004.  (229.58 KB)
Eijkhout, V., “Polynomial Acceleration of Optimised Multi-grid Smoothers; Basic Theory,” ICL Technical Report, vol. 156, no. ICL-UT-02-03, January 2002.  (100.66 KB)
Eijkhout, V., and E. Fuentes, “A Proposed Standard for Matrix Metadata,” Innovative Computing Laboratory Technical Report, no. ICL-UT-03-02, Submitted to ACM TOMS, November 2003.  (13.39 KB)
Dongarra, J., and V. Eijkhout, “Self-adapting Numerical Software for Next Generation Applications (LAPACK Working Note 157),” ICL Technical Report, no. ICL-UT-02-07, 00 2002.  (475.94 KB)
Eijkhout, V., “The 'Weighted Modification' Incomplete Factorisation Method,” University of Tennessee Computer Science Department Technical Report, no. UT-CS-99-436, December 1999.  (198.71 KB)