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dc.contributor.authorΚαπετανάκης, Αναστάσιος-
dc.date.accessioned2024-11-11T06:40:00Z-
dc.date.available2024-11-11T06:40:00Z-
dc.date.issued2024-10-17-
dc.identifier.urihttp://artemis.cslab.ece.ntua.gr:8080/jspui/handle/123456789/19400-
dc.description.abstractComputational Fluid Dynamics (CFD) simulations are essential for analyzing and optimizing fluid flows in a wide range of real-world applications. These simulations involve approximating the solutions of the Navier-Stokes differential equations using numerical methods, which are highly compute- and memory-intensive due to their need for high-precision iterations. In this thesis, we set the basis towards a high-performance FPGA accelerator specifically designed for numerically solving the NavierStokes equations. We focus on the Finite Element Method (FEM) due to its ability to accurately model complex geometries and intricate setups typical of real-world applications. Our accelerator is implemented using High-Level Synthesis (HLS) on an AMD Alveo U200 FPGA, leveraging the reconfigurability of FPGAs to offer a flexible and adaptable solution. The proposed solution achieves 7.9× higher performance than optimized Vitis-HLS implementations and 45% lower latency with 3.64× less power compared to a software implementation on a high-end server CPU. This highlights the potential of our approach to solve Navier-Stokes equations more effectively, paving the way for tackling even more challenging CFD simulations in the future.en_US
dc.languageenen_US
dc.subjectComputational Fluid Dynamics (CFD)en_US
dc.subjectSimulationen_US
dc.subjectAcceleratoren_US
dc.subjectFPGAen_US
dc.subjectHigh-Level Synthesis (HLS)en_US
dc.titleDataflow Optimized Reconfigurable Acceleration for FEM-based CFD Simulationsen_US
dc.description.pages133en_US
dc.contributor.supervisorΞύδης Σωτήριοςen_US
dc.departmentΤομέας Τεχνολογίας Πληροφορικής και Υπολογιστώνen_US
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