Sökning: "Parallel Computing"

Visar resultat 11 - 15 av 198 uppsatser innehållade orden Parallel Computing.

  1. 11. Conform with the Wind : Processing short-term ensemble forecasts with conformal based methods for probabilistic wind-speed forecasting

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Simon Althoff; [2023]
    Nyckelord :wind-speed; probabilistic; forecasts; forecasting; ensemble; post-processing; conformal prediction; conformal predictive systems; quantile regression forest; non-exchangeable; Mathematics and Statistics;

    Sammanfattning : Forecasting wind has always been an interesting subject, and as large parts of the world are relying more on wind for power production it is becoming even more important to have reliable forecasts. Probabilistic forecasts, where distributions are predicted in contrast to deterministic forecasts, are impor- tant for informed decision making. LÄS MER

  2. 12. Design, implementering och evaluering av en AI accelerator med Google Coral Dual Edge TPU

    Uppsats för yrkesexamina på grundnivå, Umeå universitet/Institutionen för tillämpad fysik och elektronik

    Författare :Oscar Burwall; [2023]
    Nyckelord :PCIe; PCI Express; Edge TPU; AI accelerator; PCB; Google Coral;

    Sammanfattning : Den snabbt växande utvecklingen av AI-baserade applikationer och den stora mängden data dessa applikationer behandlar ställer ökade krav på prestanda och optimering av datorsystemen. För att tillfredsställa de växande datorbehoven används hårdvaruacceleratorer som förbättrar databehandlingshastigheten genom att avlasta den befintliga utrustningen genom att hjälpa till med uppgifter och komplexa beräkningar. LÄS MER

  3. 13. Evaluation of FPGA-based High Performance Computing Platforms

    Master-uppsats, Linköpings universitet/Datorteknik

    Författare :Martin Frick-Lundgren; [2023]
    Nyckelord :FPGA; High performance computing; BUDE; GEMM; CPU; GPU;

    Sammanfattning : High performance computing is a topic that has risen to the top in the era ofdigitalization, AI and automation. Therefore, the search for more cost and timeeffective ways to implement HPC work is always a subject extensively researched.One part of this is to have hardware that is capable to improve on these criteria. LÄS MER

  4. 14. Decentralized Learning over Wireless Networks with Imperfect and Constrained Communication : To broadcast, or not to broadcast, that is the question!

    Master-uppsats, Linköpings universitet/Kommunikationssystem

    Författare :Martin Dahl; [2023]
    Nyckelord :Decentralized Stochastic Gradient Descent; Decentralized Learning; Medium Access Control; Wireless Communications; Machine Learning; Imperfect Communication; Resource-Constrained; Resource Allocation; Scheduling;

    Sammanfattning : The ever-expanding volume of data generated by network devices such as smartphones, personal computers, and sensors has significantly contributed to the remarkable advancements in artificial intelligence (AI) and machine learning (ML) algorithms. However, effectively processing and learning from this extensive data usually requires substantial computational capabilities centralized in a server. LÄS MER

  5. 15. Diffuser: Packet Spraying While Maintaining Order : Distributed Event Scheduler for Maintaining Packet Order while Packet Spraying in DPDK

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

    Författare :Vignesh Purushotham Srinivas; [2023]
    Nyckelord :Packet scheduling; Scheduling; Out of order; Data plane development kit; Parallel processing; Network processor; Paketschemaläggning; Schemaläggning; oordning; Dataplansutvecklingskit; Parallell bearbetning; Nätverksprocessor;

    Sammanfattning : The demand for high-speed networking applications has made Network Processors (NPs) and Central Computing Units (CPUs) increasingly parallel and complex, containing numerous on-chip processing cores. This parallelism can only be exploited fully by the underlying packet scheduler by efficiently utilizing all the available cores. LÄS MER