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Parallel robust solution of triangular linear systems
Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.
Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.ORCID-id: 0000-0002-4675-7434
2018 (Engelska)Ingår i: Concurrency and Computation, ISSN 1532-0626, E-ISSN 1532-0634, artikel-id e5064Artikel i tidskrift (Refereegranskat) Epub ahead of print
Abstract [en]

Triangular linear systems are central to the solution of general linear systems and the computation of eigenvectors. In the absence of floating‐point exceptions, substitution runs to completion and solves a system which is a small perturbation of the original system. If the matrix is well‐conditioned, then the normwise relative error is small. However, there are well‐conditioned systems for which substitution fails due to overflow. The robust solvers xLATRS from LAPACK extend the set of linear systems which can be solved by dynamically scaling the solution and the right‐hand side to avoid overflow. These solvers are sequential and apply to systems with a single right‐hand side. This paper presents algorithms which are blocked and parallel. A new task‐based parallel robust solver (Kiya) is presented and compared against both DLATRS and the non‐robust solvers DTRSV and DTRSM. When there are many right‐hand sides, Kiya performs significantly better than the robust solver DLATRS and is not significantly slower than the non‐robust solver DTRSM.

Ort, förlag, år, upplaga, sidor
John Wiley & Sons, 2018. artikel-id e5064
Nyckelord [en]
Overflow protection, parallel algorithms, task-based parallelism, triangular linear systems
Nationell ämneskategori
Datavetenskap (datalogi)
Identifikatorer
URN: urn:nbn:se:umu:diva-154297DOI: 10.1002/cpe.5064Scopus ID: 2-s2.0-85056329436OAI: oai:DiVA.org:umu-154297DiVA, id: diva2:1271007
Tillgänglig från: 2018-12-14 Skapad: 2018-12-14 Senast uppdaterad: 2019-05-28
Ingår i avhandling
1. Towards efficient overflow-free solvers for systems of triangular type
Öppna denna publikation i ny flik eller fönster >>Towards efficient overflow-free solvers for systems of triangular type
2019 (Engelska)Licentiatavhandling, sammanläggning (Övrigt vetenskapligt)
Abstract [en]

Triangular linear systems are fundamental in numerical linear algebra. A triangular linear system has a straight-forward and efficient solution strategy, namely forward substitution for lower triangular systems and backward substitution for upper triangular systems. Triangular systems, or, more generally, systems of triangular type occur frequently in algorithms for more complex problems. This thesis addresses three systems that involve linear systems of triangular type. The first system concerns quasi-triangular matrices. Quasi-triangular matrices are block triangular with 1-by-1 and 2-by-2 blocks on the diagonal. Quasi-triangular systems arise in the computation of eigenvectors from the real Schur form for the non-symmetric eigenvalue problem. This thesis contributes two algorithms for the eigenvector computation, which solve shifted quasi-triangular linear systems in an efficient and scalable way. The second system addresses scaled triangular linear systems. During the solution of a triangular linear system, the entries of the solution can grow. This growth can exceed the representable range of floating-point numbers. Such an overflow can be avoided by solving a scaled triangular system. The solution is scaled prior to every operation that would otherwise result in an overflow. After scaling, the operations can be executed safely. This thesis analyzes the scalability of a recently developed tiled, robust solver for scaled triangular systems, which ensures that at no point in the computation the overflow threshold is exceeded. The third system tackles the scaled continuous-time triangular Sylvester equation, which couples two quasi-triangular matrices. The solution process is prone to overflow. This thesis contributes a robust, tiled solver and demonstrates its practicability. These three systems can be addressed with a variation of forward or backward substitution. Compared to the highly optimized and scalable implementations of standard forward and backward substitution available in HPC libraries,the existing implementations of these three systems run at a smaller fraction of the peak performance. This thesis presents techniques to improve on the performance and robustness of the implementations of the three systems.

Ort, förlag, år, upplaga, sidor
Umeå: Department of computing science, Umeå University, 2019. s. 18
Serie
Report / UMINF, ISSN 0348-0542 ; 19.05
Nationell ämneskategori
Datavetenskap (datalogi)
Forskningsämne
datalogi
Identifikatorer
urn:nbn:se:umu:diva-159436 (URN)978-91-7855-084-5 (ISBN)
Handledare
Tillgänglig från: 2019-05-28 Skapad: 2019-05-28 Senast uppdaterad: 2019-05-28Bibliografiskt granskad

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Kjelgaard Mikkelsen, Carl ChristianSchwarz, Angelika BeatrixKarlsson, Lars

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Totalt: 231 träffar
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