Sökning: "Parallel computing"

Visar resultat 1 - 5 av 198 uppsatser innehållade orden Parallel computing.

1. 1. Parallelising High OrderTransform of Point SpreadFunction and TemplateSubtraction for AstronomicImage Subtraction : The implementation of BACH

   Master-uppsats, Linköpings universitet/Informationskodning

   Författare :Annie Wång; Victor Lells; [2023]
   Nyckelord :Image Subtraction; HOTPANTS; SFFT; GPU; Parallelisation;

   Sammanfattning : This thesis explores possible improvements, using parallel computing, to the PSF-alignment and image subtraction algorithm found in HOTPANTS. In time-domain astronomy the PSF-alignment and image subtraction algorithm OIS is used to identify transient events. LÄS MER

3. 2. 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

4. 3. Real-time Soft Body Simulation using Extended Position-Based Dynamics and Tetrahedral Deformation

   Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Författare :William Kamnert; [2023]
   Nyckelord :Physically based animation; Soft body deformation; Volumetric models; GPU parallel computing;

   Sammanfattning : Background. Several methods have been used to simulate soft body deformation, such as mass-spring systems and position-based dynamics. This has been done using tetrahedral mesh models for preservation of shape and volume. LÄS MER

5. 4. 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

7. 5. Revival structure of the residual entanglement in a three-qubit system

   Kandidat-uppsats,

   Författare :Carl Agelii; Rasmus Andersson; William Bakke Lindblom; [2023]
   Nyckelord :qubit; tripartite entanglement; residual entanglement; antisymmetric exchange; Quantum Heisenberg model;

   Sammanfattning : The quantum mechanical phenomenon of entanglement plays a key role in areas such as quantum computing and quantum information. Entangled half spin particles, often called qubits, are used to realize quantum based logic which means that studying systems of qubits and their properties is of vital importance to the development of the fields. LÄS MER