Sökning: "grafikprocessorer"

Visar resultat 1 - 5 av 19 uppsatser innehållade ordet grafikprocessorer.

  1. 1. EMONAS : Evolutionary Multi-objective Neuron Architecture Search of Deep Neural Network

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

    Författare :Jiayi Feng; [2023]
    Nyckelord :DNN Deep Neural Network ; NAS Neural Architecture Search ; EA Evolutionary Algorithm ; Multi-Objective Optimization; Binary One Optimization; Embedded Systems; DNN Deep Neural Network ; NAS Neural Architecture Search ; EA Evolutionary Algorithm ; Multi-Objective Optimization; Binary One Optimization; Inbyggda system;

    Sammanfattning : Customized Deep Neural Network (DNN) accelerators have been increasingly popular in various applications, from autonomous driving and natural language processing to healthcare and finance, etc. However, deploying them directly on embedded system peripherals within real-time operating systems (RTOS) is not easy due to the paradox of the complexity of DNNs and the simplicity of embedded system devices. LÄS MER

  2. 2. Deep Neural Networks as SurrogateModels for Fuel Performance Codes

    Kandidat-uppsats, Uppsala universitet/Tillämpad kärnfysik

    Författare :Wenhan Zhou; [2023]
    Nyckelord :Transuranus; AI; Nuclear Fuel Rods;

    Sammanfattning : The core component of a nuclear power plant is the reactor and the fuel rods that supply it with fission fuel. Efficient and safe energy extraction is thus highly dependent on the reactor design and the conditions of the fuel rods. To anticipate high-quality operation and potential risks in advance, one must perform simulations on the fuel rods. LÄS MER

  3. 3. On GPU Assisted Polar Decoding : Evaluating the Parallelization of the Successive Cancellation Algorithmusing Graphics Processing Units

    Master-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

    Författare :Siri Nordqvist; [2023]
    Nyckelord :5G; NR; New Radio; Polar Codes; Channel Decoding; Successive Cancellation; NVIDIA; GPU; CUDA; 5G; New Radio NR ; Polärkoder; Kanalavkodning; Successive Cancellation SC ; NVIDIA; Graphics Processing Unit GPU ; Compute Unified Device Architecture CUDA ;

    Sammanfattning : In telecommunication, messages sent through a wireless medium often experience noise interfering with the signal in a way that corrupts the messages. As the demand for high throughput in the mobile network is increasing, algorithms that can detectand correct these corrupted messages quickly and accurately are of interest to the industry. LÄS MER

  4. 4. Using GPU-aware message passing to accelerate high-fidelity fluid simulations

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

    Författare :Jacob Wahlgren; [2022]
    Nyckelord :high-performance computing; computational fluid dynamics; spectral element method; graphical processing units; message passing interface; högprestandaberäkningar; beräkningsströmningsdynamik; spektralelementmetoden; grafikprocessorer; meddelandeförmedlingsgränssnitt;

    Sammanfattning : Motivated by the end of Moore’s law, graphics processing units (GPUs) are replacing general-purpose processors as the main source of computational power in emerging supercomputing architectures. A challenge in systems with GPU accelerators is the cost of transferring data between the host memory and the GPU device memory. LÄS MER

  5. 5. Real-time Snow Simulator using Iterative-relaxation and Boundary Handling

    Uppsats för yrkesexamina på avancerad nivå, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Adrian Nordin; Simon Nylén; [2021]
    Nyckelord :Snow; Real-time Simulation; Iterative Method; Two-way Coupling; Computer Graphics;

    Sammanfattning : Background Physics-based snow simulation in real time is an unexplored area, the reason being the difficulty introduced by the multitude of factors that affect the snow behaviour, such as cohesion, thermodynamics, and compression. Simulating snow in real time when considering these factors can become computationally demanding. LÄS MER