Brussels / 3 & 4 February 2024

schedule

HPC, Big Data & Data Science devroom

Room: UA2.118 (Henriot)
Calendar: iCal, xCal


09 10 11 12 13 14 15 16 17 18
Saturday Making reproducible and publishable large-scale HPC experiments
 Productionizing Jupyter Notebooks
 CATS: The Climate Aware Task Scheduler
 Overcoming MPI ABI incompatibility
 AOMP Compiler Kung Fu: Mastering Optimization Flags and Environment Variables for Performance
 Extracting Mini-Apps from HPC software for Total Cost of Ownership optimized systems procurement
 PyPartMC: engineering Python-to-Fortran bindings in C++, for use in Julia and Matlab
 Feeding ML models with the data from the databases in real-time
 Warewulf: an overview, new features , and community updates
 HPC-oriented Large-scale Code Restructurings with Coccinelle
 HPC Container Conformance
 Updates and Innovations with the Apptainer Platform
 Automating Spark (and Pipeline) Upgrades While "Testing" in Production
 RDF Dataset Canonicalization: scalable security for Linked Data
 Semantically-driven data management solution for I/O intensive HPC workflows
 RCTab Cloud Subscription Management System
 Vector Search in Modern Databases
 NFD: Simplifying Cluster Administration through Automated Node Labels, Taints, and Annotations
 How the Kubernetes Community is Improving Kubernetes for HPC/AI/ML Workloads
 Kubernetes and HPC: Bare-metal bros

Read the Call for Papers at https://hpc-bigdata-fosdem24.github.io/.

Event Speakers Start End

Saturday
  Making reproducible and publishable large-scale HPC experiments
 Philippe SWARTVAGHER 10:30 11:00
  Productionizing Jupyter Notebooks
 Antoni Ivanov, Antoni Ivanov 11:00 11:30
  CATS: The Climate Aware Task Scheduler
 Colin Sauze, Abhishek Dasgupta 11:30 12:00
  Overcoming MPI ABI incompatibility
 Marc Joos 12:00 12:30
  AOMP Compiler Kung Fu: Mastering Optimization Flags and Environment Variables for Performance
 Jan-Patrick Lehr 12:30 13:00
  Extracting Mini-Apps from HPC software for Total Cost of Ownership optimized systems procurement
 Tim Heldmann 13:00 13:30
  PyPartMC: engineering Python-to-Fortran bindings in C++, for use in Julia and Matlab
 Sylwester Arabas 13:30 14:00
  Feeding ML models with the data from the databases in real-time
 Vojtech Juranek 14:00 14:10
  Warewulf: an overview, new features , and community updates
 Brian Phan 14:10 14:20
  HPC-oriented Large-scale Code Restructurings with Coccinelle
 Michele Martone, Julia Lawall 14:20 14:30
  HPC Container Conformance
 Christian Kniep 14:35 14:45
  Updates and Innovations with the Apptainer Platform
 Forrest Burt 14:45 14:55
  Automating Spark (and Pipeline) Upgrades While "Testing" in Production
 Holden Karau 15:00 15:30
  RDF Dataset Canonicalization: scalable security for Linked Data
 Sebastian Crane 15:30 16:00
  Semantically-driven data management solution for I/O intensive HPC workflows
 Metin Cakircali 16:00 16:30
  RCTab Cloud Subscription Management System
 David Llewellyn-Jones 16:30 17:00
  Vector Search in Modern Databases
 Peter Zaitsev, Sergey Nikolaev 17:00 17:30
  NFD: Simplifying Cluster Administration through Automated Node Labels, Taints, and Annotations
 Carlos Eduardo Arango Gutierrez 17:30 18:00
  How the Kubernetes Community is Improving Kubernetes for HPC/AI/ML Workloads
 Kevin Hannon 18:00 18:30
  Kubernetes and HPC: Bare-metal bros
 Vanessa Sochat 18:30 19:00