Open jedbrown opened 10 months ago
Preferred presentation day: 2️⃣ Wednesday, Dec 13
Project name: Firedrake heat equation demos
Objective: To provide a couple of insightful demos that could potentially work in conjunction with existing documentation
Preferred day: Monday, Dec 11
Together with @Christina-wg
Title: Modeling 2D Vortex using PyClaw
Description: We created a jupyter notebook that guides the user through modeling of vortex evolution. We use standard Clawpack and SharpClaw packages for Riemann solvers. We note the difference between those two methods when applied to the vortex problem.
Details (theory, code, references etc.) can be found in the issue and the Jupyter notebook.
Preferred presentation day: 2️⃣ Wednesday, Dec 13
Together with Amit Dubey and Galen Graham-Bell.
Title: Experiments in Vortex Shedding with SU2.
Description: We compare different solvers, limiters and meshes for vortex shedding for a cylinder. We also compare our results against published literature and we will share our findings through a post on a SU2 subforum.
Presentation: Numerical-PDEs-Project.pdf
Preferred Presentation day: 1️⃣ Monday, Dec 11 Library Chosen: PythonFOAM Topic: PINNs for Poisson Equation and a comparison of OpenFOAM, NumPy and PETSc solvers
Preferred presentation day:
Friday, Dec 8
Project is about comparing accuracy and efficiency of different solvers (SUPG, Entropy Viscosity stabilization, Geometric multigrid) in ASPECT.
Preferred presentation date: Wednesday, 13th December.
Presenting with: @Luro8836 Google slides: slides Project: comparing a least squares based meshless discretisation method to OpenFOAM and its various solution schemes, for the inviscid Shock Tube problem.
Preferred presentation: Wednesday, 13th December.
Project: comparing a HLLC method to OpenFOAM and its various solution schemes, for the inviscid Shock Tube problem.
Preferred presentation: Monday, Dec 11
Project: Compare 1D, 2D and 3D waveform simulation. Their advantages and disadvantages, how to choose and combine different ways in real applications.
Preferred day: Monday, Dec 11
Alone
Title: Analyzing the Time and Memory Complexity of Two Numerical PDE Packages in Python
Description: After much deliberation and thought, I decided to analyze the time and memory complexity of Clawpack and FiPy when solving two types of numerical PDE problems.
Preferred Day: 2️⃣ Wednesday, Dec 13
Alone
Title : Benchmarking MueLu and ML Libraries of Trilinos on the problem of Elasticity
Description : After Jed's feedback, I decided to take a little detour to analyze the performance metrics of Solve Time and Iteration Count on the problem of Elasticity for MueLu and ML libraries of Trilinos using a python script making use of PyTrilinos.
Preferred Day: 2️⃣ Wednesday, Dec 13
Alone
Title :Performance Analysis of Different Solvers/Preconditioners in PETSc/Ratel
https://github.com/cu-numpde/fall23-community-YichenDong.git
Description : This project presents a performance analysis of different solvers and preconditioners in PETSc/Ratel. The objective is to understand the efficiency and effectiveness of these methods in solving a specific problem.
Please comment here with the day you wish to present, tag your group members, and state the name of your project and a sentence or two about your objective. Please link to your repository and/or presentation slides when ready (but sign up now).
:one: Monday, Dec 11 :two: Wednesday, Dec 13