Sökning: "System on chip"

Visar resultat 1 - 5 av 355 uppsatser innehållade orden System on chip.

1. 1. Deep Learning Model Deployment for Spaceborne Reconfigurable Hardware : A flexible acceleration approach

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

   Författare :Javier Ferre Martin; [2023]
   Nyckelord :Space Situational Awareness; Deep Learning; Convolutional Neural Networks; FieldProgrammable Gate Arrays; System-On-Chip; Computer Vision; Dynamic Partial Reconfiguration; High-Level Synthesis; Rymdsituationstänksamhet; Djupinlärning; Konvolutionsnätverk; Omkonfigurerbara Field-Programmable Gate Arrays FPGAs ; System-On-Chip SoC ; Datorseende; Dynamisk partiell omkonfigurering; Högnivåsyntes.;

   Sammanfattning : Space debris and space situational awareness (SSA) have become growing concerns for national security and the sustainability of space operations, where timely detection and tracking of space objects is critical in preventing collision events. Traditional computer-vision algorithms have been used extensively to solve detection and tracking problems in flight, but recently deep learning approaches have seen widespread adoption in non-space related applications for their high accuracy. LÄS MER

3. 2. Code Synthesis for Heterogeneous Platforms

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

   Författare :Zhouxiang Fu; [2023]
   Nyckelord :Code Synthesis; Heterogeneous Platform; Zero-Overhead Topology Infrastructure; Kodsyntes; Heterogen plattform; Zero-Overhead Topologi Infrastruktur;

   Sammanfattning : Heterogeneous platforms, systems with both general-purpose processors and task-specific hardware, are largely used in industry to increase efficiency, but the heterogeneity also increases the difficulty of design and verification. We often need to wait for the completion of all the modules to know whether the functionality of the design is correct or not, which can cause costly and tedious design iteration cycles. LÄS MER

4. 3. Microfluidic flow splitter shape optimization for high throughput

   Kandidat-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknik

   Författare :Christoffer Papamoustos Palmér; Joel Linder; [2023]
   Nyckelord :Genetic algorithms; Lab-on-a-chip; Optimization; Acoustofluidics; Microfluidics; Technology and Engineering;

   Sammanfattning : Due to an increasing incidence rate, the need for new effective methods for diagnosing cancer are of high importance. Studies have shown that circulating tumor cells, CTCs, have great potential as a diagnostic biomarker. Acoustophoresis is a label free method, capable of separating CTCs from red blood cells in a blood sample. LÄS MER

5. 4. Performance of 2-18 GHz RF Switches Implemented in Chip & Wire Technology : Analysis of switch topologies, bias networks and an in-depth EM analysis of bondwires

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

   Författare :Gustav Eliasson; [2023]
   Nyckelord :RF Switch; PIN diode; Chip Wire Technology; Wide Bandwidth; High isolation; Single-Pole-Single-Throw; Single-Pole-Double-Throw RF Switch; PIN diode; Chip Wire Technology; Wide Bandwidth; Single-Pole-SingleThrow; Single-Pole-Double-Throw; RF-omkopplare; PIN-diod; Chip Wire Tekonologi; Bredbandig; Hög isolation; Enkelpolig-enkakast; Enkelpolig-dubbelkast;

   Sammanfattning : The ability to control the path a signal takes through microwave circuitry is crucial when designing RF systems. The component that allows for the control of the signal path is called a switch, and it is the microwave component that this thesis will focus on. LÄS MER

7. 5. A Conjugate Residual Solver with Kernel Fusion for massive MIMO Detection

   Master-uppsats, Högskolan i Halmstad/Centrum för forskning om tillämpade intelligenta system (CAISR)

   Författare :Ioannis Broumas; [2023]
   Nyckelord :MIMO; massive MIMO; GPU; CUDA; Software Defined Radio; SDR; MMSE; ZF; zero-forcing; parallel detection; iterative methods; conjugate residual; parallel computing; kernel fusion;

   Sammanfattning : This thesis presents a comparison of a GPU implementation of the Conjugate Residual method as a sequence of generic library kernels against implementations ofthe method with custom kernels to expose the performance gains of a keyoptimization strategy, kernel fusion, for memory-bound operations which is to makeefficient reuse of the processed data. For massive MIMO the iterative solver is to be employed at the linear detection stageto overcome the computational bottleneck of the matrix inversion required in theequalization process, which is 𝒪(𝑛3) for direct solvers. LÄS MER