Tesi sul tema "Algebraic kernel"
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Bhattacharjee, Papiya. "Minimal Prime Element Space of an Algebraic Frame". Bowling Green State University / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1243364652.
Peñaranda, Luis. "Géométrie algorithmique non linéaire et courbes algébriques planaires". Electronic Thesis or Diss., Nancy 2, 2010. http://www.theses.fr/2010NAN23002.
We tackle in this thesis the problem of computing the topology of plane algebraic curves. We present an algorithm that avoids special treatment of degenerate cases, based on algebraic tools such as Gröbner bases and rational univariate representations. We implemented this algorithm and showed its performance by comparing to simi- lar existing programs. We also present an output-sensitive complexity analysis of this algorithm. We then discuss the tools that are necessary for the implementation of non- linear geometric algorithms in CGAL, the reference library in the computational geom- etry community. We present an univariate algebraic kernel for CGAL, a set of functions aimed to handle curved objects defined by univariate polynomials. We validated our approach by comparing it to other similar implementations
Laske, Michael. "Le K1 des courbes sur les corps globaux : conjecture de Bloch et noyaux sauvages". Thesis, Bordeaux 1, 2009. http://www.theses.fr/2009BOR13861/document.
For a smooth projective geometrically connected curve X over a global ?eld k, we determine the Q-structure of its ?rst Quillen K-group K1(X) by showing that dimQ K1(X) ? Q =2r, where r denotes the number of archimedean places of k (including the case r = 0 for k a function ?eld). This con?rms a conjecture of Bloch. In the language of Milnor K-theory, which we de?ne for varieties via Somekawa groups, the ?rst special Milnor K-group SKM 1 (X) is torsion. For the proof, we develop a theory of heights applicable to Milnor K-groups, and generalize the factor basis approach of Bass-Tate. A ?ner structure of SKM 1 (X) emerges when localizing the ground ?eld k, and we give an explicit description of the resulting decomposition. In particular, we identify a potentially ?nite subgroup WKl(X):= ker (SKM 1 (X) ? Zl ? Lv SKM 1 (Xv) ? Zl) for each rational prime l, named wild kernel
Sondecker, Victoria L. "Kernel-trace approach to congruences on regular and inverse semigroups". Instructions for remote access. Click here to access this electronic resource. Access available to Kutztown University faculty, staff, and students only, 1994. http://www.kutztown.edu/library/services/remote_access.asp.
Source: Masters Abstracts International, Volume: 45-06, page: 3173. Abstract precedes thesis as [2] preliminary leaves. Typescript. Includes bibliographical references (leaves 52-53).
Speck, Robert [Verfasser]. "Generalized Algebraic Kernels and Multipole Expansions for massively parallel Vortex Particle Methods / Robert Speck". Wuppertal : Universitätsbibliothek Wuppertal, 2011. http://d-nb.info/1018299866/34.
Kumar, Suraj. "Scheduling of Dense Linear Algebra Kernels on Heterogeneous Resources". Thesis, Bordeaux, 2017. http://www.theses.fr/2017BORD0572/document.
Due to massive computation power of accelerators such as GPU, Xeon phi, multicore machines equipped with accelerators are becoming popular in High Performance Computing (HPC). The added complexity led to the development of different task-based runtime systems, which allow computations to be expressed as graphs of tasks and rely on runtime systems to schedule those tasks among all resources of the platform. The real challenge is to design efficient schedulers for such runtimes to make effective utilization of all resources. Developing good schedulers, even for a single hybrid node, and analyzing them can thus have a strong impact on the performance of current HPC systems. We consider the problem of scheduling dense linear algebra applications on fully hybrid platforms made of CPUs and GPUs. The relative performance of CPU and GPU highly depends on the sub-routine. For instance, GPUs are much more efficient to process matrix-matrix multiplications than matrix factorizations. In this thesis, we analyze the performance of static and dynamic scheduling strategies and we propose a set of intermediate strategies, by adding static (resp. dynamic) features into dynamic (resp. static) strategies. A resource centric dynamic scheduler, HeteroPrio, which is based on affinity between tasks and resources, has been proposed recently for a set of small independent tasks on two types of resources. We extend and analyze this scheduler for general task graphs first on two types of resources and then on more than two types of resources. Additionally, we provide approximation ratios and worst case examples of HeteroPrio for a set of independent tasks on different platform sizes
Tachibana, Kanta, Takeshi Furuhashi, Tomohiro Yoshikawa, Eckhard Hitzer e MINH TUAN PHAM. "Clustering of Questionnaire Based on Feature Extracted by Geometric Algebra". 日本知能情報ファジィ学会, 2008. http://hdl.handle.net/2237/20676.
Joint 4th International Conference on Soft Computing and Intelligent Systems and 9th International Symposium on advanced Intelligent Systems, September 17-21, 2008, Nagoya University, Nagoya, Japan
Good, Jennifer Rose. "Weighted interpolation over W*-algebras". Diss., University of Iowa, 2015. https://ir.uiowa.edu/etd/1843.
Shinde, Sachin Dilip. "SuperTaco : Taco Tensor Algebra kernels on distributed systems using Legion". Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/121683.
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 89-91).
Tensor algebra is a powerful language for expressing computation on multidimensional data. While many tensor datasets are sparse, most tensor algebra libraries have limited support for handling sparsity. The Tensor Algebra Compiler (Taco) has introduced a taxonomy for sparse tensor formats that has allowed them to compile sparse tensor algebra expressions to performant C code, but they have not taken advantage of distributed systems. This work provides a code generation technique for creating Legion programs that distribute the computation of Taco tensor algebra kernels across distributed systems, and a scheduling language for controlling how this distributed computation is structured. This technique is implemented in the form of a command-line tool called SuperTaco. We perform a strong scaling analysis for the SpMV and TTM kernels under a row blocking distribution schedule, and find speedups of 9-10x when using 20 cores on a single node. For multi-node systems using 20 cores per node, SpMV achieves a 33.3x speedup at 160 cores and TTM achieves a 42.0x speedup at 140 cores.
by Sachin Dilip Shinde.
M. Eng.
M.Eng. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science
Wilding, David. "Linear algebra over semirings". Thesis, University of Manchester, 2015. https://www.research.manchester.ac.uk/portal/en/theses/linear-algebra-over-semirings(1dfe7143-9341-4dd1-a0d1-ab976628442d).html.
Wu, Wenhao. "High-performance matrix multiplication hierarchical data structures, optimized kernel routines, and qualitative performance modeling /". Master's thesis, Mississippi State : Mississippi State University, 2003. http://library.msstate.edu/etd/show.asp?etd=etd-07092003-003633.
DiPaolo, Conner. "Randomized Algorithms for Preconditioner Selection with Applications to Kernel Regression". Scholarship @ Claremont, 2019. https://scholarship.claremont.edu/hmc_theses/230.
Kardell, Marcus. "Total positivity and oscillatory kernels : An overview, and applications to the spectral theory of the cubic string". Thesis, Linköpings universitet, Tillämpad matematik, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-58005.
Issa, Hassan A. [Verfasser], Wolfram [Akademischer Betreuer] Bauer e Ingo [Akademischer Betreuer] Witt. "The analysis of Toeplitz operators, commutative Toeplitz algebras and applications to heat kernel constructions / Hassan A. Issa. Gutachter: Wolfram Bauer ; Ingo Witt. Betreuer: Wolfram Bauer". Göttingen : Niedersächsische Staats- und Universitätsbibliothek Göttingen, 2012. http://d-nb.info/1042970947/34.
Mascarenhas, Helena. "Convolution type operators on cones and asymptotic spectral theory". Doctoral thesis, [S.l. : s.n.], 2004. http://deposit.ddb.de/cgi-bin/dokserv?idn=970638809.
Kernert, David [Verfasser], Wolfgang [Akademischer Betreuer] [Gutachter] Lehner e Peter [Gutachter] Fischer. "Density-Aware Linear Algebra in a Column-Oriented In-Memory Database System / David Kernert ; Gutachter: Wolfgang Lehner, Peter Fischer ; Betreuer: Wolfgang Lehner". Dresden : Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2016. http://d-nb.info/1119362385/34.
Wood, Nicholas Linder. "Extension of Similarity Functions and their Application toChemical Informatics Problems". The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1542299336598615.
Herrero, Zaragoza Jose Ramón. "A framework for efficient execution of matrix computations". Doctoral thesis, Universitat Politècnica de Catalunya, 2006. http://hdl.handle.net/10803/5991.
We study some important operations which appear in the solution of real world problems: some sparse and dense linear algebra codes and a classification algorithm. In particular, we focus our attention on the efficient execution of the following operations: sparse Cholesky factorization; dense matrix multiplication; dense Cholesky factorization; and Nearest Neighbor Classification.
A lot of research has been conducted on the efficient parallelization of numerical algorithms. However, the efficiency of a parallel algorithm depends ultimately on the performance obtained from the computations performed on each node. The work presented in this thesis focuses on the sequential execution on a single processor.
There exists a number of data structures for sparse computations which can be used in order to avoid the storage of and computation on zero elements. We work with a hierarchical data structure known as hypermatrix. A matrix is subdivided recursively an arbitrary number of times. Several pointer matrices are used to store the location of
submatrices at each level. The last level consists of data submatrices which are dealt with as dense submatrices. When the block size of this dense submatrices is small, the number of zeros can be greatly reduced. However, the performance obtained from BLAS3 routines drops heavily. Consequently, there is a trade-off in the size of data submatrices used for a sparse Cholesky factorization with the hypermatrix scheme. Our goal is that of reducing the overhead introduced by the unnecessary operation on zeros when a hypermatrix data structure is used to produce a sparse Cholesky factorization. In this work we study several techniques for reducing such overhead in order to obtain high performance.
One of our goals is the creation of codes which work efficiently on different platforms when operating on dense matrices. To obtain high performance, the resources offered by the CPU must be properly utilized. At the same time, the memory hierarchy must be exploited to tolerate increasing memory latencies. To achieve the former, we produce inner kernels which use the CPU very efficiently. To achieve the latter, we investigate nonlinear data layouts. Such data formats can contribute to the effective use of the memory system.
The use of highly optimized inner kernels is of paramount importance for obtaining efficient numerical algorithms. Often, such kernels are created by hand. However, we want to create efficient inner kernels for a variety of processors using a general approach and avoiding hand-made codification in assembly language. In this work, we present an alternative way to produce efficient kernels automatically, based on a set of simple codes written in a high level language, which can be parameterized at compilation time. The advantage of our method lies in the ability to generate very efficient inner kernels by means of a good compiler. Working on regular codes for small matrices most of the compilers we used in different platforms were creating very efficient inner kernels for matrix multiplication. Using the resulting kernels we have been able to produce high performance sparse and dense linear algebra codes on a variety of platforms.
In this work we also show that techniques used in linear algebra codes can be useful in other fields. We present the work we have done in the optimization of the Nearest Neighbor classification focusing on the speed of the classification process.
Tuning several codes for different problems and machines can become a heavy and unbearable task. For this reason we have developed an environment for development and automatic benchmarking of codes which is presented in this thesis.
As a practical result of this work, we have been able to create efficient codes for several matrix operations on a variety of platforms. Our codes are highly competitive with other state-of-art codes for some problems.
Fan, Yang, Hidehiko Masuhara, Tomoyuki Aotani, Flemming Nielson e Hanne Riis Nielson. "AspectKE*: Security aspects with program analysis for distributed systems". Universität Potsdam, 2010. http://opus.kobv.de/ubp/volltexte/2010/4136/.
Hong, Guixiang. "Quelques problèmes en analyse harmonique non commutative". Phd thesis, Université de Franche-Comté, 2012. http://tel.archives-ouvertes.fr/tel-00979472.
Vasilescu, M. Alex O. "A Multilinear (Tensor) Algebraic Framework for Computer Graphics, Computer Vision and Machine Learning". Thesis, 2012. http://hdl.handle.net/1807/65327.
Kerber, Michael [Verfasser]. "Geometric algorithms for algebraic curves and surfaces / vorgelegt von Michael Kerber". 2009. http://d-nb.info/1002267331/34.
Issa, Hassan. "The analysis of Toeplitz operators, commutative Toeplitz algebras and applications to heat kernel constructions". Doctoral thesis, 2012. http://hdl.handle.net/11858/00-1735-0000-000D-F066-5.
"Accelerating Linear Algebra and Machine Learning Kernels on a Massively Parallel Reconfigurable Architecture". Master's thesis, 2019. http://hdl.handle.net/2286/R.I.55557.
Dissertation/Thesis
Masters Thesis Electrical Engineering 2019
Abdelfattah, Ahmad. "Accelerating Scientific Applications using High Performance Dense and Sparse Linear Algebra Kernels on GPUs". Diss., 2015. http://hdl.handle.net/10754/346955.
Zhou, Wei. "Fast Order Basis and Kernel Basis Computation and Related Problems". Thesis, 2012. http://hdl.handle.net/10012/7326.
Lee, Jia-Wei, e 李家瑋. "Application of the Clifford algebra valued boundary integral equations with Cauchy-type kernels to some engineering problems". Thesis, 2016. http://ndltd.ncl.edu.tw/handle/02351203973629353925.
國立臺灣海洋大學
河海工程學系
104
The conventional complex variable boundary integral equation (CVBIE) based on the conventional Cauchy integral formula is powerful and suitable to solve two-dimensional problems. In particular, the unknown function is a complex-valued holomorphic function. In other words, the unknown function satisfies the Cauchy-Riemann equations. However, the most part of practical engineering problems are three-dimensional problems and do not necessarily satisfies Cauchy-Riemann equations. Therefore, there are two targets in this dissertation. One is to extend the conventional CVBIE to solve two-dimensional problems for which the unknown function is not a complex-valued holomorphic function. The other is to extend to three-dimensions and derive an extended BIE still preserving some properties of complex variables in the three-dimensional state. For the extension of the conventional CVBIE, we employ the Borel-Pompeiu formula to derive the generalized CVBIE. In this way, the torsion problems can be solved in the state of two shear stress fields directly. In addition, the torsional rigidity can also be determined simultaneously. Since the theory of complex variables has a limitation that is only suitable for 2-dimensional problems, we introduce Clifford algebra and Clifford analysis to replace complex variables to deal with 3-dimensional problems. Clifford algebra can be seen as an extension of complex or quaternionic algebras. Clifford analysis is also known as hypercomplex analysis. We apply the Clifford algebra valued Stokes' theorem to derive Clifford algebra valued BIEs with Cauchy-type kernels. In this way, some three-dimensional problem with multiple unknown fields may be solved straightforward. Finally, several electromagnetic scattering problems are considered to check the validity of the derived Clifford algebra valued BIEs.
Biswas, Prasenjit. "Hardware Consolidation Of Systolic Algorithms On A Coarse Grained Runtime Reconfigurable Architecture". Thesis, 2011. https://etd.iisc.ac.in/handle/2005/2108.
Biswas, Prasenjit. "Hardware Consolidation Of Systolic Algorithms On A Coarse Grained Runtime Reconfigurable Architecture". Thesis, 2011. http://etd.iisc.ernet.in/handle/2005/2108.
Sen, Samrat. "Geometric invariants for a class of submodules of analytic Hilbert modules". Thesis, 2019. https://etd.iisc.ac.in/handle/2005/4455.
Mascarenhas, Helena. "Convolution type operators on cones and asymptotic spectral theory". Doctoral thesis, 2003. https://monarch.qucosa.de/id/qucosa%3A18097.