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Jonsson, Isak
Publikationer (2 of 2) Visa alla publikationer
Granat, R., Jonsson, I. & Kågström, B. (2009). RECSY and SCASY library software: recursive blocked and parallel algorithms for Sylvester-type matrix equations with some applications. In: Raimondas Čiegis, David Henty, Bo Kågström, Julius Žilinskas (Ed.), Parallel scientific computing and optimization: advances and applications (pp. 3-24). Springer-Verlag New York
Öppna denna publikation i ny flik eller fönster >>RECSY and SCASY library software: recursive blocked and parallel algorithms for Sylvester-type matrix equations with some applications
2009 (Engelska)Ingår i: Parallel scientific computing and optimization: advances and applications / [ed] Raimondas Čiegis, David Henty, Bo Kågström, Julius Žilinskas, Springer-Verlag New York, 2009, s. 3-24Kapitel i bok, del av antologi (Övrigt vetenskapligt)
Ort, förlag, år, upplaga, sidor
Springer-Verlag New York, 2009
Serie
Springer optimization and its applications, ISSN 1931-6828 ; 27
Nationell ämneskategori
Datavetenskap (datalogi)
Identifikatorer
urn:nbn:se:umu:diva-24697 (URN)978-0-387-09707-7 (ISBN)
Tillgänglig från: 2009-07-09 Skapad: 2009-07-09 Senast uppdaterad: 2018-06-08Bibliografiskt granskad
Granat, R., Jonsson, I. & Kågström, B. (2007). Recursive Blocked Algorithms for Solving Periodic Triangular Sylvester-Type Matrix Equations. In: Applied Parallel Computing - State of the Art in Scientific Computing: 8th International Workshop, PARA 2006 (pp. 531-539). Springer
Öppna denna publikation i ny flik eller fönster >>Recursive Blocked Algorithms for Solving Periodic Triangular Sylvester-Type Matrix Equations
2007 (Engelska)Ingår i: Applied Parallel Computing - State of the Art in Scientific Computing: 8th International Workshop, PARA 2006, Springer , 2007, s. 531-539Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Recently, recursive blocked algorithms for solving triangular one-sided and two-sided Sylvester-type equations were introduced by Jonsson and Kagstrom. This elegant yet simple technique enables an automatic variable blocking that has the potential of matching the memory hierarchies of today's HPC systems. The main parts of the computations are performed as level 3 general matrix multiply and add (GEMM) operations. We extend and apply the recursive blocking technique to solving periodic Sylvester-type matrix equations. Successive recursive splittings are performed on 3-dimensional arrays, where the third dimension represents the periodicity of a matrix equation.

Ort, förlag, år, upplaga, sidor
Springer, 2007
Serie
Lecture Notes in Computer Science ; LNCS 4699
Identifikatorer
urn:nbn:se:umu:diva-23266 (URN)
Tillgänglig från: 2009-06-09 Skapad: 2009-06-09 Senast uppdaterad: 2018-06-08
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