1998 -
A. Henriksson and I. Jonsson,
High-Performance Matrix Multiplication on the IBM SP High Node, Master Thesis, UMNAD
98.235, Department of Computing Science, Umeå University, SE-901 87 Umeå, Sweden, June 1998. [Abstract in HTML] [Postscript] [PDF] - F.
Gustavson, A. Henriksson, I. Jonsson, P. Ling, and B. Kågström,
Recursive Blocked Data Formats and BLAS's for Dense Linear Algebra
Algorithms, In B. Kågström et al (eds), Applied Parallel Computing. Large Scale Scientific and Industrial Problems, PARA'98
Proceedings. Lecture Notes in Computing Science, No. 1541, p. 195-206, Springer Verlag, 1998. [Abstract in HTML] [Postscript] [PDF] © Springer-Verlag. - F. Gustavson, A. Henriksson, I. Jonsson, P. Ling, and B.
Kågström,
Superscalar GEMM-based Level 3 BLAS - The On-going Evolution of a Portable and High-Performance Library, In B.
Kågström et al (eds), Applied Parallel Computing. Large Scale Scientific and Industrial Problems, PARA'98 Proceedings. Lecture Notes in
Computing Science, No. 1541, p. 207-215, Springer Verlag, 1998. [Abstract in HTML] [Postscript] [PDF] © Springer-Verlag. - F. Gustavson, I. Jonsson, B. Kågström, and P. Ling.
Optimization Techniques for Complex Memory Hierarchies - the Evolution of Superscalar GEMM-based level 3 BLAS. Talk given at the SMP
Programming for IBM RS/6000 SP Systems workshop at the PDC, KTH, Stockholm. November 1998. [Abstract in HTML] [Postscript] [PDF]
1999 - F. Gustavson, I. Jonsson, B. Kågström, and P. Ling.
Towards Peak
Performance on Hierarchical Memory Architectures - New Recursive Blocked Data Formats and BLAS's, In B. Hendrickson et al (eds),
Proceedings of the Ninth SIAM Conference on Parallel Processing for Scientific Computing, PPSC99. San Antonio, TX, USA. March 24-27, 1999.
SIAM, Scientific Computing. CDROM. [Abstract in HTML] [Postscript] [PDF] © SIAM. The poster: [Postscript] - E. Elmroth, F. Gustavson, I. Jonsson, and B. Kågström.
Recursive Blocked Algorithms for Dense Matrix Computations. Talk given at the Linear Algebra With Recursive Algorithms One Day
Workshop at UNI-C, Copenhagen. December 1999. [Abstract in
HTML without references] [Abstract in Postscript] [Abstract in PDF] The slides of the talk: [Postscript] [PDF]
2000 - F. Gustavson and I. Jonsson
Minimal-storage high-performance
Cholesky factorization via blocking and recursion. IBM Journal of Research and Development, Vol 44:6, 2000. - I. Jonsson and B. Kågström
Parallel Triangular Sylvester-Type Matrix Equation Solvers for SMP Systems using Recursive
Blocking. In Bjorstad et al. (eds), Applied Parallel Computing, New Paradigms for HPC Industry and Academia, Lecture Notes
in Computer Science, 1947, pp. 64-73, Springer-Verlag, 2000. 2001 - I. Jonsson and B. Kågström
Recursive Blocked Algorithms for Solving Triangular Matrix Equations--Part I: One-Sided and
Coupled Sylvester-Type Equations SLICOT Working Note 2001-4, 2001. - I. Jonsson and B.
Kågström
Recursive Blocked Algorithms for Solving Triangular Matrix Equations--Part II: Two-Sided and Generalized Sylvester and Lyapunov Equations
SLICOT Working Note 2001-5, 2001. 2002 - I. Jonsson and B. Kågström
Parallel Two-Sided Sylvester-Type Matrix Equation Solvers for SMP Systems Using Recursive
Blocking. In Fagerholm et al. (eds), Applied Parallel Computing, Advanced Scientific Computing, Lecture Notes in Computer Science, Vol
2367, pp. 297-306, Springer-Verlag, 2002. - I. Jonsson and B. Kågström
Recursive blocked algorithms for solving
triangular systems -- Part I: One-sided and coupled Sylvester-type matrix equations. ACM Transactions on Mathematical Software,
28(4):392-415, 2002. - I. Jonsson and B. Kågström
Recursive blocked algorithms for solving triangular systems -- Part
II: Two-sided and generalized Sylvester and Lyapunov matrix equations ACM Transactions on Mathematical Software, 28(4):416-435, 2002.
- I. Jonsson and B. Kågström
RECSY -- A High Performance Library for Sylvester-Type Matrix Equations. In Kosch et
al. (eds), Euro-Par 2003, Parallel Processing, Lecture Notes in Computer Science, Vol 2790, pp. 810-819, Springer-Verlag, 2003. 2003 - I. Jonsson
Analysis of Processor and Memory
Utilization of Recursive Algorithms for Sylvester-Type Matrix Equations using Performance Monitoring, UMINF 03.16, Dept. Computing Science, Umeå
University, SE-901 87, Sweden. - I. Jonsson
Recursive Blocked Algorithms, Data Structures, and High-Performance
Software for Solving Linear Systems and Matrix Equations, UMINF 03.17, Dept. Computing Science, Umeå University, SE-901 87, Sweden. PhD Thesis.
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