Sökning: "Parallel Programming models"

Visar resultat 1 - 5 av 35 uppsatser innehållade orden Parallel Programming models.

  1. 1. SIMIT användningsområden vid virtuelldriftsättning av produktionsutrustning : En fallstudie på hur SIMIT kan användas för att skapa simuleringar för en robotcell

    M1-uppsats, Högskolan i Gävle/Elektronik

    Författare :Sened Welday; [2022]
    Nyckelord :Factory Aacceptens Test; Automated generated simulation; Digital tvilling; Virtuell driftsättning; Simulering; PLC Emulering; PLC verifiering; SIMIT;

    Sammanfattning : Det traditionella sättet att programmera industriella styrsystem har alltid varit ettkostsamt och oförutsägbart sätt att driftsätta produktionsutrustning. Detta beror påatt styrsystemen programmeras parallellt med driftsättningen som sker sent iprojektet vilket inte ger mycket rum för misstag. LÄS MER

  3. 2. A Benchmark Suite for the OmpSs-2@ ArgoDSM task-based distributed shared memory environment

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Konstantinos Palaiodimos; [2022]
    Nyckelord :;

    Sammanfattning : Applications with high complexity, heavy computations and processing of large amount of data require powerful computer systems and programming models that allow efficient parallel execution without excessive programming effort. Benchmarking of these systems and models is of vital importance in order to identify their strengths, weaknesses, and potential improvements. LÄS MER

  4. 3. Evaluating Swift concurrency on the iOS platform : A performance analysis of the task-based concurrency model in Swift 5.5

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

    Författare :Andreas Kärrby; [2022]
    Nyckelord :Task-based concurrency; Mobile; Benchmarking; Swift; iOS; Task-baserad concurrency; Mobil; Benchmarking; Swift; iOS;

    Sammanfattning : Due to limitations in hardware, raising processor clock speeds is no longer the primary way to increase computing performance. Instead, computing devices are equipped with multiple processors (they are multi-core) to increase performance by enabling parallel execution of code. LÄS MER

  5. 4. Optimization of Heterogeneous Parallel Computing Systems using Machine Learning

    Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Devi Abhiseshu Adurti; Mohit Battu; [2021]
    Nyckelord :Application; Heterogeneous systems; Parallel computing; Machine learning; Optimization;

    Sammanfattning : Background: Heterogeneous parallel computing systems utilize the combination of different resources CPUs and GPUs to achieve high performance and, reduced latency and energy consumption. Programming applications that target various processing units requires employing different tools and programming models/languages. LÄS MER

  7. 5. Ablation Programming for Machine Learning

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

    Författare :Sina Sheikholeslami; [2019]
    Nyckelord :Distributed Machine Learning; Distributed Systems; Ablation Studies; Apache Spark; Keras; Hopsworks;

    Sammanfattning : As machine learning systems are being used in an increasing number of applications from analysis of satellite sensory data and health-care analytics to smart virtual assistants and self-driving cars they are also becoming more and more complex. This means that more time and computing resources are needed in order to train the models and the number of design choices and hyperparameters will increase as well. LÄS MER