Teaching

Short Tranings and Courses:¶

• NCC Luxembourg
  • 2023: Introduction to GPU programming using CUDA
  • 2023: Introduction to OpenMP programing
  • 2023: Introduction to OpenACC programming
  • 2024: Introduction to GPU programming using CUDA
  • 2024: Introduction to OpenMP programing
  • 2024: Introduction to OpenACC programming
  • 2025: Introduction to GPU programming using CUDA
  • 2025: Introduction to OpenACC programming
  • 2025: Introduction to OpenMP programing
• EuroCC Castiel:
  • 2022: Introduction to GPU programming using CUDA
• Bootcamp:
  • 2023: AI for Science & Engineering Bootcamp (organization and TA)
• ULHPC School:
  • 2020: Introduction to OpenMP and MPI
  • 2021: Introduction to OpenACC programming model
  • 2023: Introduction to OpenACC programming model

Pedagogical merits:¶

• EUmaster4HPC:
  • 2023: Code chanllenge for EUmaster4HPC (3) students, topics including - CUDA, OpenMP, MPI and Performance Analysis
• BICS: Luxembourg University - Project supervision - 15 ECTS (one semester)
  • Particle simulation using shared memory architecture (2023).
  • Artificial Intelligence and Machine Learning, along with the study of distributed parallel programming (2023).
  • Mathematical modeling and simulation for incompressible fluid flow using the finite element method (2024).
  • The parallel implementation of the conjugate gradient method using various programming approaches, including GPU, shared memory, and distributed memory (2025).
• Project coordinator and mentor for PRACE SoHPC, 2020, 2021, 2022.
  • Several topics in computational fluid dynamics (using FEniCS, OpenFOAM, and ANSYS) and HPC (using, CUDA, OpenMP and MPI). Few of the students work (presentation):
    • Konstantinos Kellaris Computational Fluid Dynamics with FEniCSx
    • Filippo Barbari - Numerical Library in GPU
    • Benet Eiximeno Franch and Paolo Scuderi - Aerodynamics
    • Theodoros Alanidis and Martin Stodulk - Designing Scientific Applications on GPUs
    • Rafal Felczynski and Omer Bora Zeybek - Novel HPC Models
    • Matthew Asker and Shiva Dinesh - Submarine Computational Fluid Dynamics

University of Luxembourg, 2019-¶

• EUMaster4HPC MOOC: Introduction to OpenACC, OpenMP Offloading and HIP programming models, Teacher,
  University of Luxembourg, 2024-

• PRACE MOOC: GPU programming for Scientific Computing, Teacher, University of Luxembourg, 2022-

• Parallel and Grid Computing (MICS S3) Teacher (one of several) University of Luxembourg, 2021-

• Parallel and Grid Computing (MICS S3) Teaching Assistant (TA) University of Luxembourg, 2019-2020

• Intelligence Systems 1 Teaching Assistant (TA) University of Luxembourg, 2020-

• Programming Fundamentals 2 Teaching Assistant (TA) University of Luxembourg, 2020-2021

• Optimization for Computer Science Teacher (one of several) Luxembourg University, 2019-2020, 2022

KTH Royal Institute of Technology, 2017-2019¶

• High performance finite element modelling (edX MOOC) Teacher (one of several) KTH Royal Institute of Technology, 2017-2020

• DD1331 Fundamentals of Programming 5.0 credits Teaching Assistant (TA) KTH Royal Institute of Technology, 2018-2019

• DD1396 Parallel and Concurrent Programming in Introduction to Computer Science 3.0 credits Teaching Assistant(TA) KTH Royal Institute of Technology, 2018-2019

• DD2325 Applied Programming and Computer Science 7.5 credits Teaching Assistant(TA) KTH Royal Institute of Technology, 2018-2019

• DD1388 Program System Construction Using C++ 7.5 credits Teaching Assistant(TA) KTH Royal Institute of Technology, 2018-2019

• SI1336 Simulation and Modeling 6.0 credits Teaching Assistant(TA) KTH Royal Institute of Technology, 2018-2019

• DD1327 Fundamentals of Computer Science 6.0 credits Teaching Assistant (TA) KTH Royal Institute of Technology, 2018-2019

Educational Prize:¶

• One of the summer school participants at the PRACE Summer of HPC in 2013. And represented from Sweden. Spent two months in Edinburgh and Ljubljana.