Sökning: "parallelizable"

Visar resultat 1 - 5 av 17 uppsatser innehållade ordet parallelizable.

  1. 1. Syntax-Based Dependency Discovery : Extracting Dependencies Between Integration Test Cases for Passive Testing

    M1-uppsats, KTH/Hälsoinformatik och logistik

    Författare :David Halldoff; Martin Sten; [2023]
    Nyckelord :Software testing; passive testing; integration testing; test case; dependency discovery; guarded assertion; automotive; safety-critical; Mjukvarutestning; passiv testning; integrationstestning; testfall; beroendeupptäckt; fordon; säkerhetskritisk;

    Sammanfattning : Modern-day vehicles consist of numerous electronic computing devices with accompanying software. Since vehicles are generally classified as safety-critical systems, rigorous testing strategies have to be deployed to ensure correct operation of the embedded software. LÄS MER

  2. 2. An I/O-aware scheduler for containerized data-intensive HPC tasks in Kubernetes-based heterogeneous clusters

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Zheyun Wu; [2022]
    Nyckelord :Cloud-native; Containers; Kubernetes; High-performance computing HPC ; Data-intensive computing; Task scheduling; Heterogeneous systems; Cloud-native; Containrar; Kubernetes; Högpresterande datoranvändning HPC ; Dataintensiv datoranvändning; Uppgiftsschemaläggning; Heterogena system;

    Sammanfattning : Cloud-native is a new computing paradigm that takes advantage of key characteristics of cloud computing, where applications are packaged as containers. The lifecycle of containerized applications is typically managed by container orchestration tools such as Kubernetes, the most popular container orchestration system that automates the containers’ deployment, maintenance, and scaling. LÄS MER

  3. 3. Exploring and extending eigensolvers for Toeplitz(-like) matrices : A study of numerical eigenvalue and eigenvector computations combined with matrix-less methods

    Kandidat-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Martin Knebel; Fredrik Cers; Oliver Groth; [2022]
    Nyckelord :Toeplitz matrices; eigenvalue computation; eigenvector computation; matrix-less methods;

    Sammanfattning : We implement an eigenvalue solving algorithm proposed by Ng and Trench, specialized for Toeplitz(-like) matrices, utilizing root finding in conjunction with an iteratively calculated version of the characteristic polynomial. The solver also yields corresponding eigenvectors as a free bi-product. LÄS MER

  4. 4. Synthetic Graph Generation at Scale : A novel framework for generating large graphs using clustering, generative models and node embeddings

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Johan Hammarstedt; [2022]
    Nyckelord :Data Anonymization; Graph Learning; Generative Graph Modeling; Graph Clustering; Node Embedding; Synthetic Data; Dataanonymisering; Grafinlärning; Generativa graf-modeller; Graf klustring; Länk prediktion; Nodinbäddning; Syntetisk data;

    Sammanfattning : The field of generative graph models has seen increased popularity during recent years as it allows us to model the underlying distribution of a network and thus recreate it. From allowing anonymization of sensitive information in social networks to data augmentation of rare diseases in the brain, the ability to generate synthetic data has multiple applications in various domains. LÄS MER

  5. 5. Exploring feasibility of reinforcement learning flight route planning

    Kandidat-uppsats, Linköpings universitet/Institutionen för datavetenskap; Linköpings universitet/Filosofiska fakulteten

    Författare :Axel Wickman; [2021]
    Nyckelord :SAAB; flight route planning; autorouting; auto-routing; auto routing; AI; machine learning; fighter jet; convolution; PPO; DQN; Astar; A*; C ; Python; LibTorch; PyTorch; multi threading; multi-threading; simulation; aerodynamics; world generation; Perlin noise; investigation; reward; Flygplanering; flygruttsplannering; maskininlärning; AI; SAAB; faltning; faltningslager; belöning;

    Sammanfattning : This thesis explores and compares traditional and reinforcement learning (RL) methods of performing 2D flight path planning in 3D space. A wide overview of natural, classic, and learning approaches to planning s done in conjunction with a review of some general recurring problems and tradeoffs that appear within planning. LÄS MER