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2. Sylwester Arabas
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Sylwester Arabas: students

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MSc STUDENTS MENTORED

• Oleksii Bulenok (MSc in CS @UJ defended in 2023.10)
  • MSc thesis:
    • Monte-Carlo collisional breakup in PySDM: GPU support and validation against analytical solutions
  • papers:
    • Numba-MPI v1.0: Enabling MPI communication within Numba/LLVM JIT-compiled Python code
    • Breakups are complicated: an efficient representation of collisional breakup in the superdroplet method
    • New developments in PySDM and PySDM-examples v2: collisional breakup, immersion freezing, dry aerosol initialization, and adaptive time-stepping
    • PySDM v1: particle-based cloud modelling package for warm-rain microphysics and aqueous chemistry (JOSS)
  • FOSDEM conference talk (with Kacper Derlatka et al.):
    • Numba @njittable MPI wrappers tested on Linux, macOS and Windows
• Kacper Derlatka (MSc in CS @UJ defended in 2023.10)
  • MSc thesis:
    • Distributed-memory parallelism with Python: MPI support in PyMPDATA for solving systems of transport equations
  • paper:
    • Numba-MPI v1.0: Enabling MPI communication within Numba/LLVM JIT-compiled Python code
  • FOSDEM conference talk (with Oleksii Bulenok et al.):
    • Numba @njittable MPI wrappers tested on Linux, macOS and Windows
• Michael Olesik (MSc in Physics @UJ defended in 2020.09)
  • MSc thesis:
    • On higher-order finite differencing for condensational growth in particulate systems
  • paper:
    • On numerical broadening of particle size spectra: a condensational growth study using PyMPDATA
  • EGU2020 abstract (virtual talk):
    • On the droplet spectral broadening numerics
• Piotr Bartman (MSc in CS @UJ defended in 2020.09)
  • MSc thesis:
    • PySDM v1.0: Pythonic particle-based cloud microphysics package
  • papers:
    • On numerical broadening of particle size spectra: a condensational growth study using PyMPDATA
    • New developments in PySDM and PySDM-examples v2: collisional breakup, immersion freezing, dry aerosol initialization, and adaptive time-stepping
    • PySDM v1: particle-based cloud modelling package for warm-rain microphysics and aqueous chemistry (JOSS)
    • On the design of Monte-Carlo particle coagulation solver interface: a CPU/GPU Super-Droplet Method case study with PySDM (LNCS)
  • AMS conference talk:
    • Adaptive Time-Stepping for Particle-Based Cloud Microphysics: Super-Droplet Transport, Collisions and Condensational Growth
  • virtual talks:
    • ICCS (2021.06): On the design of Monte-Carlo particle coagulation solver interface: a CPU/GPU Super-Droplet Method case study with PySDM
    • SEA (2021.03): Bridging Pythonicity with performance: Monte-Carlo on GPU case study using ThrustRTC and CURandRTC (recording on youtube)
    • IGF webinar (2020.10): PySDM: Pythonic particle-based cloud microphysics package
    • ENES HPC workshop (2020.05): PySDM: Bridging performance and pythonicity with Numba, Pythran and ThrustRTC
    • EGU2020 (2020.05): PySDM: Pythonic particle-based cloud microphysics package

BEng STUDENTS MENTORED

• Michal Kowalczyk (BEng in Technical Physics @AGH defended in 2025.03)
  "Development of incompressible Boussinesq fluid solver using PyMPDATA and Numba" (see corresponding PyMPDATA example)

SUMMER INTERNS MENTORED

• Agnieszka Makulska (MSc student at IGFUW, internship at AGH)

• Zachary D'Aquino (at UIUC)

1. Sylwester Arabas
2. March 2025
3. students