Sökning: "Parallell bearbetning"

Visar resultat 1 - 5 av 7 uppsatser innehållade orden Parallell bearbetning.

  1. 1. Low-power Implementation of Neural Network Extension for RISC-V CPU

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

    Författare :Dario Lo Presti Costantino; [2023]
    Nyckelord :Artificial intelligence; Deep learning; Neural networks; Edge computing; Convolutional neural networks; Low-power electronics; RISC-V; AI accelerators; Parallel processing; Artificiell intelligens; Deep learning; Neurala nätverk; Edge computing; konvolutionella neurala nätverk; Lågeffektelektronik; RISC-V; AI-acceleratorer; Parallell bearbetning;

    Sammanfattning : Deep Learning and Neural Networks have been studied and developed for many years as of today, but there is still a great need of research on this field, because the industry needs are rapidly changing. The new challenge in this field is called edge inference and it is the deployment of Deep Learning on small, simple and cheap devices, such as low-power microcontrollers. LÄS MER

  3. 2. 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

  4. 3. Deinterleaving of radar pulses with batch processing to utilize parallelism

    Kandidat-uppsats, KTH/Kommunikationssystem, CoS

    Författare :Emma Lind; Mattias Stahre; [2020]
    Nyckelord :Cluster analysis; DBSCAN; Parallelization; Signal Separation; Unsupervised learning; Klusteranalys; DBSCAN; Parallellisering; Signal Separation; Oövervakat lärande;

    Sammanfattning : The threat level (specifically in this thesis, for aircraft) in an environment can be determined by analyzing radar signals. This task is critical and has to be solved fast and with high accuracy. The received electromagnetic pulses have to be identified in order to classify a radar emitter. LÄS MER

  5. 4. #Metoo : En studie över maktstrukturer inom sociala medier

    Kandidat-uppsats, Högskolan i Halmstad/Akademin för lärande, humaniora och samhälle

    Författare :Klara Mårtensson; Josefin Jansson; [2018]
    Nyckelord :#Metoo; intersektionalitet; symboliskt kapital; makt; systerskap; separatism;

    Sammanfattning : Denna uppsats strävar efter att undersöka feministiska rörelser på sociala medier och därigenom belysa eventuella maktstrukturer som kan te sig inom dessa. Då #Metoo-rörelsen rört om debattklimatet i Sverige sedan oktober 2017, ligger fokus på rörelsens spridning och påverkan på debatten. LÄS MER

  7. 5. Design and implementation of LTE-A and 5G kernel algorithms on SIMD vector processor

    Master-uppsats, KTH/Radio Systems Laboratory (RS Lab)

    Författare :Jiabing Guo; [2015]
    Nyckelord :channel estimation; MIMO detection; massive complex matrix inversion; SIMD; kanaluppskattning; MIMO-detektion; massiva komplex matrisinversion; SIMD;

    Sammanfattning : With the wide spread of wireless technology, the time for 4G has arrived, and 5G will appear not so far in the future. However, no matter whether it is 4G or 5G, low latency is a mandatory requirement for baseband processing at base stations for modern cellular standards. LÄS MER