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Visar resultat 1 - 5 av 51 uppsatser som matchar ovanstående sökkriterier.

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

3. 2. A comparative performance analysis of Fast Fourier Transformation and Gerstner waves

   Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Författare :Morgan Westerberg; Oliver Olguin Jönsson; [2023]
   Nyckelord :Water simulation; Procedural methods; Ocean waves; Fast Fourier Transformation; Gerstner waves;

   Sammanfattning : Background:  As time moves on hardware is able to tackle heavier and more complex computations in real-time systems. This means that more realistic and stylistic environments can be computed. One of these environments is the ocean. LÄS MER

4. 3. 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

5. 4. Applying spatially and temporally adaptive techniques for faster DEM-based snow simulation

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

   Författare :Simon Andreasson; Linus Östergaard; [2023]
   Nyckelord :Real-time simulation; DEM; GPU; Games; Computer graphics; Realtidssimulering; DEM; GPU; Spel; Datorgrafik;

   Sammanfattning : Background. Physically-based snow simulation is computationally expensive and not yet applicable to real-time applications. Some of the prime factors for this cost are the complex physics, the large number of particles, and the small time step required for a high-quality and stable simulation. LÄS MER

7. 5. Real-time Ray Traced Ambient Occlusion and Animation : Image quality and performance of hardware- accelerated ray traced ambient occlusion

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

   Författare :Fabian Waldner; [2021]
   Nyckelord :Ambient occlusion; ray tracing; real-time; animation; Ambient ocklusion; strålspårning; realtid; animation;

   Sammanfattning : Recently, new hardware capabilities in GPUs has opened the possibility of ray tracing in real-time at interactive framerates. These new capabilities can be used for a range of ray tracing techniques - the focus of this thesis is on ray traced ambient occlusion (RTAO). LÄS MER