Sökning: "Parallel computation"

Visar resultat 21 - 25 av 77 avhandlingar innehållade orden Parallel computation.

  1. 21. Parallelism in Event-Based Computations with Applications in Biology

    Författare :Pavol Bauer; Stefan Engblom; Markos A. Katsoulakis; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Event-based computations; Parallel algorithms; Discrete-event simulation; Monte-Carlo methods; Systems biology.; Scientific Computing; Beräkningsvetenskap;

    Sammanfattning : Event-based models find frequent usage in fields such as computational physics and biology as they may contain both continuous and discrete state variables and may incorporate both deterministic and stochastic state transitions. If the state transitions are stochastic, computer-generated random numbers are used to obtain the model solution. LÄS MER

  2. 22. Performance Optimization Techniques and Tools for Data-Intensive Computation Platforms An Overview of Performance Limitations in Big Data Systems and Proposed Optimizations

    Detta är en avhandling från Stockholm : KTH Royal Institute of Technology

    Författare :Vasiliki Kalavri; Vladimir Vlassov; Alberto Montresor; [2014]
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; performance optimization; data-intensive computing; big data; Informations- och kommunikationsteknik; Information and Communication Technology;

    Sammanfattning : Big data processing has recently gained a lot of attention both from academia and industry. The term refers to tools, methods, techniques and frameworks built to collect, store, process and analyze massive amounts of data. Big data can be structured, unstructured or semi-structured. LÄS MER

  3. 23. Protocols with Heterogeneous Real-Time Services for High-Performance Embedded Networks

    Detta är en avhandling från Göteborg : Chalmers tekniska högskola

    Författare :Carl Bergenhem; [2002]
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Optical; Ring; Pipeline; Distributed; Parallel-Processing; Real-time; SAN; System Area Network; Heterogeneous; Service;

    Sammanfattning : Network protocols for applications that demand high performance and heterogeneous real-time services are presented. These protocols control the medium access to the network and offer additional features to the user, both different user services for traffic and services for parallel and distributed real-time processing. LÄS MER

  4. 24. Automatic and Explicit Parallelization Approaches for Mathematical Simulation Models

    Detta är en avhandling från Göteborg : Chalmers tekniska högskola

    Författare :Mahder Gebremedhin; Peter Fritzson; Francesco Casella; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Simulation; Modelling; Parallel Programming; Mutli-core; Modelcia; OpenModelica; ParModelica;

    Sammanfattning : The move from single core and processor systems to multi-core and many-processors systemscomes with the requirement of implementing computations in a way that can utilizethese multiple units eciently. This task of writing ecient multi-threaded algorithmswill not be possible with out improving programming languages and compilers to providethe mechanisms to do so. LÄS MER

  5. 25. Structure-Exploiting Numerical Algorithms for Optimal Control

    Detta är en avhandling från Linköping : Linköping University Electronic Press

    Författare :Isak Nielsen; Daniel Axehill; Anders Hansson; Eric Kerrigan; [2017]
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Numerical Optimal Control; Model Predictive Control; Riccati Recursion; Parallel Algorithms; Low-Rank Modifications; Parametric Programming; Optimization; Explicit MPC; Moving Horizon Estimation; Partial Condensing;

    Sammanfattning : Numerical algorithms for efficiently solving optimal control problems are important for commonly used advanced control strategies, such as model predictive control (MPC), but can also be useful for advanced estimation techniques, such as moving horizon estimation (MHE). In MPC, the control input is computed by solving a constrained finite-time optimal control (CFTOC) problem on-line, and in MHE the estimated states are obtained by solving an optimization problem that often can be formulated as a CFTOC problem. LÄS MER