Brussels / 31 January & 1 February 2026

schedule

H.1308 (Rolin)


Day Start End Track(s)
Saturday 10:30 19:00 eBPF
Sunday 09:00 16:55 HPC, Big Data & Data Science
09 10 11 12 13 14 15 16 17 18
Saturday eBPF Hookpoint Gotchas: Why Your Program Fires (or Fails) in Unexpected Ways
Lessons from scaling BPF to detect RDMA Device Drivers Bugs in real time
Optimizing eBPF loading with reachability analysis
Performance and reliability pitfalls of eBPF
OOMProf: profiling Go heap memory at OOM time
Extending AF_XDP for fast co-located packet transfer
Lightweight XDP Profiling
XDP Virtual Server: An eBPF Load Balancer library
A Unified I/O Monitoring Framework Using eBPF
String kfuncs - simplifying string handling in eBPF programs
PythonBPF - writing eBPF programs in Python
Using eBPF within your Python program using EBPFCat
Aya - what's new in Rust for eBPF?
eBPF Observability on RISC: What Works, What Breaks, and How to Test It
BPF Tokens in Linux Distributions: A Path to Safe User-Space eBPF
Sunday Accelerating scientific code on AI hardware with Reactant.jl
The Snakemake SLURM Plugin: Reproducible Computing vs. HPC Policies
JUBE: An Environment for systematic benchmarking and scientific workflows
Scaling Gmsh-based FEM on LUMI: Efficiently Handling Thousands of Partitions
Productive Parallel Programming with Chapel and Arkouda
Track Energy & Emissions of User Jobs on HPC/AI Platforms using CEEMS
Partly Cloudy with a Chance of Zarr: A Virtualized Approach to Zarr Stores from ECMWF Fields Database
Zero‑Touch HPC Nodes: NetBox, Tofu and Packer for a Self‑Configuring SLURM Cluster
Accelerating complex Bioinformatics AI pipelines with Kubernetes
Observability for AI Workloads on HPC: Beyond GPU Utilization Metrics
Developing software tools for accelerated and differentiable scientific computing using JAX
High Performance Jupyter Notebooks with Zasper
ROCm™ on TheRock(s)
Update on the High Performance Software Foundation (HPSF)
Package management in the hands of users: dream and reality
Spack v1.0 and Beyond: Managing HPC Software Stacks
Status update on EESSI, the European Environment for Scientific Software Installations
Using OpenMP's interop for calling GPU-vendor libs with GCC
A Brief* overview of what makes modern accelerators interesting for HPC

Events

Title Speakers Track Start End

Saturday

  eBPF Hookpoint Gotchas: Why Your Program Fires (or Fails) in Unexpected Ways
Donia Chaiehloudj, Chris Tarazi eBPF 10:30 11:00
  Lessons from scaling BPF to detect RDMA Device Drivers Bugs in real time
Prankur Gupta, Maksim Samoilov eBPF 11:00 11:30
  Optimizing eBPF loading with reachability analysis
Dylan Reimerink eBPF 11:30 12:00
  Performance and reliability pitfalls of eBPF
Usama Saqib eBPF 12:00 12:30
  OOMProf: profiling Go heap memory at OOM time
Tommy Reilly eBPF 12:30 13:00
  Extending AF_XDP for fast co-located packet transfer
Debojeet Das eBPF 13:15 13:45
  Lightweight XDP Profiling
Andrea Monterubbiano, Vladimiro Paschali eBPF 13:45 14:15
  XDP Virtual Server: An eBPF Load Balancer library
David Coles eBPF 14:15 14:45
  A Unified I/O Monitoring Framework Using eBPF
Mahendra Paipuri eBPF 14:45 15:15
  String kfuncs - simplifying string handling in eBPF programs
Viktor Malik eBPF 15:15 15:45
  PythonBPF - writing eBPF programs in Python
Pragyansh Chaturvedi, Varun R Mallya eBPF 16:30 17:00
  Using eBPF within your Python program using EBPFCat
Martin Teichmann eBPF 17:00 17:30
  Aya - what's new in Rust for eBPF?
Michal Rostecki eBPF 17:30 18:00
  eBPF Observability on RISC: What Works, What Breaks, and How to Test It
Bruce Gain eBPF 18:00 18:30
  BPF Tokens in Linux Distributions: A Path to Safe User-Space eBPF
Daniel Mellado eBPF 18:30 19:00

Sunday

  Accelerating scientific code on AI hardware with Reactant.jl
Mosè Giordano, Jules Merckx HPC, Big Data & Data Science 09:00 09:25
  The Snakemake SLURM Plugin: Reproducible Computing vs. HPC Policies
Christian Meesters HPC, Big Data & Data Science 09:30 09:55
  JUBE: An Environment for systematic benchmarking and scientific workflows
Thomas Breuer HPC, Big Data & Data Science 10:00 10:25
  Scaling Gmsh-based FEM on LUMI: Efficiently Handling Thousands of Partitions
Boris Martin HPC, Big Data & Data Science 10:30 10:55
  Productive Parallel Programming with Chapel and Arkouda
Jade Abraham HPC, Big Data & Data Science 11:00 11:25
  Track Energy & Emissions of User Jobs on HPC/AI Platforms using CEEMS
Mahendra Paipuri HPC, Big Data & Data Science 11:30 11:55
  Partly Cloudy with a Chance of Zarr: A Virtualized Approach to Zarr Stores from ECMWF Fields Database
Tobias Kremer HPC, Big Data & Data Science 12:00 12:25
  Zero‑Touch HPC Nodes: NetBox, Tofu and Packer for a Self‑Configuring SLURM Cluster
Erich B, Ümit Seren, Leon Schwarzäugl HPC, Big Data & Data Science 12:30 12:55
  Accelerating complex Bioinformatics AI pipelines with Kubernetes
Alessandro Pilotti HPC, Big Data & Data Science 13:00 13:10
  Observability for AI Workloads on HPC: Beyond GPU Utilization Metrics
samuel desseaux HPC, Big Data & Data Science 13:10 13:20
  Developing software tools for accelerated and differentiable scientific computing using JAX
Matt Graham HPC, Big Data & Data Science 13:20 13:30
  High Performance Jupyter Notebooks with Zasper
Prasun Anand HPC, Big Data & Data Science 13:35 13:45
  ROCm™ on TheRock(s)
Jan-Patrick Lehr HPC, Big Data & Data Science 13:45 13:55
  Update on the High Performance Software Foundation (HPSF)
Xavier Delaruelle HPC, Big Data & Data Science 14:00 14:25
  Package management in the hands of users: dream and reality
Ludovic Courtès HPC, Big Data & Data Science 14:30 14:55
  Spack v1.0 and Beyond: Managing HPC Software Stacks
Harmen Stoppels HPC, Big Data & Data Science 15:00 15:25
  Status update on EESSI, the European Environment for Scientific Software Installations
Helena Vela Beltran HPC, Big Data & Data Science 15:30 15:55
  Using OpenMP's interop for calling GPU-vendor libs with GCC
Tobias Burnus HPC, Big Data & Data Science 16:00 16:25
  A Brief* overview of what makes modern accelerators interesting for HPC
FelixCLC HPC, Big Data & Data Science 16:30 16:55