Search for dissertations about: "Datorsystem"

Showing result 11 - 15 of 621 swedish dissertations containing the word Datorsystem.

  2. 11. Systematic Data-Driven Continual Self-Learning

    Author : Diarmuid Corcoran; Magnus Boman; Steven Latré; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Data-Driven Methods; Self-Learning Systems; Reinforcement Learning Algorithms; Implementation Architectures; Datadrivna metoder; Självlärande system; Reinforcement Learning-algoritmer; Implementeringsarkitekturer;

    Abstract : There is a lot of unexploited potential in using data-driven and self-learning methods to dramatically improve automatic decision-making and control in complex industrial systems. So far, and on a relatively small scale, these methods have demonstrated some potential to achieve performance gains for the automated tuning of complex distributed systems. READ MORE

  4. 12. Graph Algorithms for Large-Scale and Dynamic Natural Language Processing

    Author : Kambiz Ghoorchian; Magnus Boman; Magnus Sahlgren; Sumithra Velupillai; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Natural Language Processing; Lexical Disambiguation; Topic Modeling; Representation Learning; Graph Partitioning; Distributed Algorithms; Dimensionality Reduction; Random Indexing; ;

    Abstract : In Natural Language Processing, researchers design and develop algorithms to enable machines to understand and analyze human language. These algorithms benefit multiple downstream applications including sentiment analysis, automatic translation, automatic question answering, and text summarization. READ MORE

  5. 13. Toward Highly-efficient GPU-centric Networking

    Author : Massimo Girondi; Dejan Kostic; Marco Chiesa; Siracusano Giuseppe; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Low-Latency Internet Services; Packet Processing; Network Functions Virtualization; Middle Boxes; Commodity Hardware; Multi-Hundred-Gigabit-Per-Second; Low-Level Optimization; Graphics Processing Units; Inference Serving; Remote Direct Memory Access; Internettjänster med Låg Fördröjning; Paketbearbetning; Virtualisering av Nätverksfunktioner; Mellanutrustning; Tillgänglig Datorhårdvara; Flera-Hundra- Gigabit-Per-Sekund; Lågnivå-Optimering; Grafikprocessor; Inferensserving; Remote Direct Memory Access; Datalogi; Computer Science; Informations- och kommunikationsteknik; Information and Communication Technology;

    Abstract : Graphics Processing Units (GPUs) are emerging as the most popular accelerator for many applications, powering the core of Machine Learning applications and many computing-intensive workloads. GPUs have typically been consideredas accelerators, with Central Processing Units (CPUs) in charge of the mainapplication logic, data movement, and network connectivity. READ MORE

  6. 14. Software Diversity for Third-Party Dependencies

    Author : Nicolas Harrand; Benoit Baudry; Martin Monperrus; David Broman; Ville Leppänen; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Automated Software Engineering; Software Diversity; Software libraries; Software Monoculture; Computer Science; Datalogi;

    Abstract : Thanks to the emergence of package managers and online software repositories, modern software development heavily relies on the reuse of third-party libraries. This practice has significant benefits in terms of productivity and reliability. READ MORE

  7. 15. Privacy preserving behaviour learning for the IoT ecosystem

    Author : Sana Imtiaz; Vladimir Vlassov; Ramin Sadre; Sarunas Girdzijauskas; Omer Rana; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Internet of things; big data; privacy; smart health care; machine learning; synthetic data generation; generative adversarial networks; time-series data; distributed machine learning; Informations- och kommunikationsteknik; Information and Communication Technology;

    Abstract : IoT has enabled the creation of a multitude of personal applications and services for a better understanding and improvement of urban environments and our personal lives. These services are driven by the continuous collection and analysis of sensitive and private user data to provide personalised experiences. READ MORE