Courses
High-Performance Computing Lab for CSE
Bachelor's course, ETH Zürich, 2022
Course syllabus
Computational Science and Engineering, HPC systems, parallel programming models, large-scale scientific simulations, performance analysis, parallelism detection, OpenMP, MPI, scientific mathematical libraries. Course Link
Numerical Computing
Bachelor's course, Università della Svizzera italiana (USI), 2022
Course syllabus
Graph clustering, graph partitioning, solving linear systems of equations, page rank algorithm and large-scale nonlinear optimization, real-world applications. Course Link
High Performance Computing
MSc course, Università della Svizzera italiana (USI), 2021
Course syllabus
Numerical methods and HPC, large-scale scientific simulations, parallel programming models, HPC systems,scientific mathematical libraries, C programming language, linear algebra, mathematical optimization, partial differential equations. Course Link
Linear Algebra
Bachelor's course, Università della Svizzera italiana (USI), 2020
Course syllabus
Linear mappings,linear spaces, Gauss method, vector spaces, linear maps and matrices, determinants, eigenvectors and eigenvalues. Course Link
Supervision
Spectral clustering using a multilevel approach
Semester project, ETH Zürich, 2022
Supervising the MSc student Kalman Szenes on his semester project.
Slides
A study of Spectral Clustering techniques for machine learning applications
Bachelor's thesis, Università della Svizzera italiana (USI), 2020
Supervising the Bachelor student Lazar Najdenov on his thesis. Final grade: 10/10.
Thesis
A High Performance Video Segmentation Framework
Semester project, Università della Svizzera italiana (USI), 2019
Supervising the MSc students Liudmila Karagyaur, Vanessa Braglia, and Lorenzo Ferri on a semester project as part of the course Software Atelier: Simulation, Data Science & Supercomputing.
Report
High Performance Topology Optimization
Semester project, The Platform for Advanced Scientific Computing (PASC) Conference, 2018
Supervising the MSc students Ezekiel Barnett, Sumeet Gyanchandani, and Sameer Rawat on a semester project and a poster submission as part of the course Software Atelier: Simulation, Data Science & Supercomputing. The poster won the 3rd place runner-up award for “Best poster” at PASC’18, Basel, Switzerland.
Poster
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<p>A. Eftekhari, L. Gaedke-Merzhäuser, D. Pasadakis, M. Bollhöfer, S. Scheidegger, and O. Schenk, "Large-Scale Precision Matrix Estimation With SQUIC" (August 12, 2021). <a href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3904001"><u>https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3904001</u></a></p>
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