Sökning: "Bo Kågström"
Visar resultat 11 - 15 av 15 avhandlingar innehållade orden Bo Kågström.
11. Recursive Blocked Algorithms, Data Structures, and High-Performance Software for Solving Linear Systems and Matrix Equations
Sammanfattning : This thesis deals with the development of efficient and reliable algorithms and library software for factorizing matrices and solving matrix equations on high-performance computer systems. The architectures of today's computers consist of multiple processors, each with multiple functional units. LÄS MER
12. Scheduling of parallel matrix computations and data layout conversion for HPC and Multi-Core Architectures
Sammanfattning : Dense linear algebra represents fundamental building blocks in many computational science and engineering applications. The dense linear algebra algorithms must be numerically stable, robust, and reliable in order to be usable as black-box solvers by expert as well as non-expert users. LÄS MER
13. Improving the efficiency of eigenvector-related computations
Sammanfattning : An effective strategy in dense linear algebra is the design of algorithms as tiled algorithms. Tiled algorithms that express the bulk of the computation as matrix-matrix operations (level-3 BLAS) have proven successful in achieving high performance on cache-based architectures. LÄS MER
14. Decentralized resource brokering for heterogeneous grid environments
Sammanfattning : The emergence of Grid computing infrastructures enables researchers to share resources and collaborate in more efficient ways than before, despite belonging to different organizations and being distanced geographically. While the Grid computing paradigm offers new opportunities, it also gives rise to new difficulties. LÄS MER
15. Structural Information and Hidden Markov Models for Biological Sequence Analysis
Sammanfattning : Bioinformatics is a fast-developing field, which makes use of computational methods to analyse and structure biological data. An important branch of bioinformatics is structure and function prediction of proteins, which is often based on finding relationships to already characterized proteins. LÄS MER